OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Quantitative accuracy in mass spectrometry based proteomics of complex samples: The impact of labeling and precursor interference
AnnSofi Sandberg, Rui M. Branca, Janne Lehtiö, et al.
Journal of Proteomics (2013) Vol. 96, pp. 133-144
Open Access | Times Cited: 85

Showing 1-25 of 85 citing articles:

Quantitative Mass Spectrometry-Based Proteomics: An Overview
Svitlana Rozanova, Katalin Barkovits, Miroslav Nikolov, et al.
Methods in molecular biology (2021), pp. 85-116
Open Access | Times Cited: 173

Evaluation and Improvement of Quantification Accuracy in Isobaric Mass Tag-Based Protein Quantification Experiments
Erik Ahrné, Timo Glatter, Cristina Viganó, et al.
Journal of Proteome Research (2016) Vol. 15, Iss. 8, pp. 2537-2547
Closed Access | Times Cited: 162

Quantitative Mass Spectrometry-Based Proteomics: An Overview
Miroslav Nikolov, Carla Schmidt, Henning Urlaub
Methods in molecular biology (2012), pp. 85-100
Open Access | Times Cited: 151

The Human Tau Interactome: Binding to the Ribonucleoproteome, and Impaired Binding of the Proline-to-Leucine Mutant at Position 301 (P301L) to Chaperones and the Proteasome
C. Geeth Gunawardana, Mohadeseh Mehrabian, Xinzhu Wang, et al.
Molecular & Cellular Proteomics (2015) Vol. 14, Iss. 11, pp. 3000-3014
Open Access | Times Cited: 109

Extensive Peptide Fractionation and y1 Ion-Based Interference Detection Method for Enabling Accurate Quantification by Isobaric Labeling and Mass Spectrometry
Mingming Niu, Ji-Hoon Cho, Kiran Kodali, et al.
Analytical Chemistry (2017) Vol. 89, Iss. 5, pp. 2956-2963
Open Access | Times Cited: 104

Comparative Analysis of Label-Free and 8-Plex iTRAQ Approach for Quantitative Tissue Proteomic Analysis
Agnieszka Latosińska, Konstantinos Vougas, Manousos Makridakis, et al.
PLoS ONE (2015) Vol. 10, Iss. 9, pp. e0137048-e0137048
Open Access | Times Cited: 96

Integrated Proteomics to Understand the Role of Neuritin (NRN1) as a Mediator of Cognitive Resilience to Alzheimer’s Disease
Cheyenne Hurst, Derian A. Pugh, Measho Abreha, et al.
Molecular & Cellular Proteomics (2023) Vol. 22, Iss. 5, pp. 100542-100542
Open Access | Times Cited: 38

Comparative proteomic profiling of refractory/relapsed multiple myeloma reveals biomarkers involved in resistance to bortezomib-based therapy
Dominik Dytfeld, Magdalena Łuczak, Tomasz Wróbel, et al.
Oncotarget (2016) Vol. 7, Iss. 35, pp. 56726-56736
Open Access | Times Cited: 65

Efficient Quantitative Comparisons of Plasma Proteomes Using Label-Free Analysis with MaxQuant
Lynn A. Beer, Pengyuan Liu, Bonnie Ky, et al.
Methods in molecular biology (2017), pp. 339-352
Open Access | Times Cited: 62

Improved Sensitivity of Ultralow Flow LC–MS-Based Proteomic Profiling of Limited Samples Using Monolithic Capillary Columns and FAIMS Technology
Michal Greguš, James Kostas, Somak Ray, et al.
Analytical Chemistry (2020) Vol. 92, Iss. 21, pp. 14702-14712
Open Access | Times Cited: 61

Loss of MAGEL2 in Prader-Willi syndrome leads to decreased secretory granule and neuropeptide production
Helen Chen, A. Kaitlyn Victor, Jonathon Klein, et al.
JCI Insight (2020) Vol. 5, Iss. 17
Open Access | Times Cited: 54

Defining, Comparing, and Improving iTRAQ Quantification in Mass Spectrometry Proteomics Data
Lina Hultin‐Rosenberg, Jenny Forshed, Rui M. Branca, et al.
Molecular & Cellular Proteomics (2013) Vol. 12, Iss. 7, pp. 2021-2031
Open Access | Times Cited: 60

Comparing the Diagnostic Classification Accuracy of iTRAQ, Peak-Area, Spectral-Counting, and emPAI Methods for Relative Quantification in Expression Proteomics
Adam Dowle, Julie Wilson, Jerry R. Thomas
Journal of Proteome Research (2016) Vol. 15, Iss. 10, pp. 3550-3562
Open Access | Times Cited: 60

Proteomics for systems toxicology
Bjoern Titz, Ashraf Elamin, Florian Martin, et al.
Computational and Structural Biotechnology Journal (2014) Vol. 11, Iss. 18, pp. 73-90
Open Access | Times Cited: 59

Proteomic Approaches for the Discovery of Biofluid Biomarkers of Neurodegenerative Dementias
Becky C. Carlyle, Bianca A. Trombetta, Steven E. Arnold
Proteomes (2018) Vol. 6, Iss. 3, pp. 32-32
Open Access | Times Cited: 57

Comparative evaluation of label‐free quantification methods for shotgun proteomics
Julia A. Bubis, Lev I. Levitsky, Mark V. Ivanov, et al.
Rapid Communications in Mass Spectrometry (2017) Vol. 31, Iss. 7, pp. 606-612
Closed Access | Times Cited: 50

Limits for Resolving Isobaric Tandem Mass Tag Reporter Ions Using Phase-Constrained Spectrum Deconvolution
Christian D. Kelstrup, Konstantin Aizikov, Tanveer S. Batth, et al.
Journal of Proteome Research (2018) Vol. 17, Iss. 11, pp. 4008-4016
Open Access | Times Cited: 39

A multi-omics approach reveals mechanisms of nanomaterial toxicity and structure–activity relationships in alveolar macrophages
Anne Bannuscher, Isabel Karkossa, Sophia Buhs, et al.
Nanotoxicology (2019) Vol. 14, Iss. 2, pp. 181-195
Closed Access | Times Cited: 39

An Integrated Quantitative Proteomics Workflow for Cancer Biomarker Discovery and Validation in Plasma
Vipin Kumar, Sandipan Ray, Saicharan Ghantasala, et al.
Frontiers in Oncology (2020) Vol. 10
Open Access | Times Cited: 38

Progesterone receptor membrane component 1 (PGRMC1) binds and stabilizes cytochromes P450 through a heme-independent mechanism
Meredith R. McGuire, Debaditya Mukhopadhyay, Stephanie L. Myers, et al.
Journal of Biological Chemistry (2021) Vol. 297, Iss. 5, pp. 101316-101316
Open Access | Times Cited: 31

Integration of a multi-omics stem cell differentiation dataset using a dynamical model
Patrick R. van den Berg, Noémie M. L. P. Bérenger-Currias, Bogdan Budnik, et al.
PLoS Genetics (2023) Vol. 19, Iss. 5, pp. e1010744-e1010744
Open Access | Times Cited: 11

Statistical Models for the Analysis of Isobaric Tags Multiplexed Quantitative Proteomics
Gina D’Angelo, Raghothama Chaerkady, Wen Yu, et al.
Journal of Proteome Research (2017) Vol. 16, Iss. 9, pp. 3124-3136
Closed Access | Times Cited: 35

Analysis of Reproducibility of Proteome Coverage and Quantitation Using Isobaric Mass Tags (iTRAQ and TMT)
Tammy M. Casey, Javed Masood Khan, Scott Bringans, et al.
Journal of Proteome Research (2016) Vol. 16, Iss. 2, pp. 384-392
Closed Access | Times Cited: 34

Proteomics of Muscle Microdialysates Identifies Potential Circulating Biomarkers in Facioscapulohumeral Muscular Dystrophy
Victor Corasolla Carregari, Mauro Monforte, Giuseppe Di Maio, et al.
International Journal of Molecular Sciences (2020) Vol. 22, Iss. 1, pp. 290-290
Open Access | Times Cited: 31

Maximized quantitative phosphoproteomics allows high confidence dissection of the DNA damage signaling network
Vítor M. Faça, Ethan J. Sanford, Jennifer Tieu, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 29

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