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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:

Biosaur: An open‐source Python software for liquid chromatography–mass spectrometry peptide feature detection with ion mobility support
Daniil A. Abdrakhimov, Julia A. Bubis, Vladimir Gorshkov, et al.
Rapid Communications in Mass Spectrometry (2021)
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

AlphaPept: a modern and open framework for MS-based proteomics
Maximilian T. Strauss, Isabell Bludau, Wen‐Feng Zeng, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 35
Ion mobility separation coupled to high-resolution mass spectrometry in environmental analysis – Current state and future potential
Alberto Celma, ‪Nikiforos Alygizakis, Lidia Belova, et al.
Trends in Environmental Analytical Chemistry (2024) Vol. 43, pp. e00239-e00239
Open Access | Times Cited: 8
Boosting MS1-only Proteomics with Machine Learning Allows 2000 Protein Identifications in Single-Shot Human Proteome Analysis Using 5 min HPLC Gradient
Mark V. Ivanov, Julia A. Bubis, Vladimir Gorshkov, et al.
Journal of Proteome Research (2021) Vol. 20, Iss. 4, pp. 1864-1873
Open Access | Times Cited: 35
DirectMS1Quant: Ultrafast Quantitative Proteomics with MS/MS-Free Mass Spectrometry
Mark V. Ivanov, Julia A. Bubis, Vladimir Gorshkov, et al.
Analytical Chemistry (2022) Vol. 94, Iss. 38, pp. 13068-13075
Open Access | Times Cited: 25
Reanalysis of DIA Data Demonstrates the Capabilities of MS/MS-Free Proteomics to Reveal New Biological Insights in Disease-Related Samples
Mark V. Ivanov, Anna S. Kopeykina, Mikhail V. Gorshkov
Journal of the American Society for Mass Spectrometry (2024) Vol. 35, Iss. 8, pp. 1775-1785
Closed Access | Times Cited: 4
Integrated Omics Approaches to Explore a New System of Genetic Control of Dibenzothiophene Desulfurization and Aromatic Ring Cleavage by Gordonia alkanivorans Strain 135
Ekaterina Frantsuzova, A. G. Bogun, Anna Vetrova, et al.
Biology (2025) Vol. 14, Iss. 2, pp. 188-188
Open Access
Modified Decision Tree with Custom Splitting Logic Improves Generalization across Multiple Brains’ Proteomic Data Sets of Alzheimer’s Disease
Mark V. Ivanov, Anna S. Kopeykina, Elizaveta M. Kazakova, et al.
Journal of Proteome Research (2025)
Closed Access
SWAPS: A Modular Deep-Learning Empowered Peptide Identity Propagation Framework Beyond Match-Between-Run
Zixuan Xiao, Johanna Tüshaus, Bernhard Küster, et al.
Journal of Proteome Research (2025)
Open Access
Study on the Mechanism of Action of the Pt(IV) Complex with Lonidamine Ligands by Ultrafast Chemical Proteomics
Ekaterina A.. Imaikina, Ivan I. Fedorov, Daria D. Emekeeva, et al.
ACS Pharmacology & Translational Science (2025)
Open Access
Ultrafast Proteomics
Ivan I. Fedorov, Sergey A Protasov, Irina A. Tarasova, et al.
Biochemistry (Moscow) (2024) Vol. 89, Iss. 8, pp. 1349-1361
Open Access | Times Cited: 3
Exploiting Charge State Distribution To Probe Intramolecular Interactions in Gas-Phase Phosphopeptides and Enhance Proteomics Analyses
Vladimir Gorshkov, Frank Kjeldsen
Analytical Chemistry (2024) Vol. 96, Iss. 3, pp. 1167-1177
Open Access | Times Cited: 2
Reanalysis of Orbitrap Astral DIA data demonstrates the capabilities of MS/MS-free proteomics to reveal new biological insights in disease-related samples
Mark V. Ivanov, Anna S. Kopeykina, Mikhail V. Gorshkov
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Python workflow for the selection and identification of marker peptides—proof-of-principle study with heated milk
Gesine Kuhnen, Lisa‐Carina Class, Svenja Badekow, et al.
Analytical and Bioanalytical Chemistry (2024) Vol. 416, Iss. 14, pp. 3349-3360
Open Access | Times Cited: 2
Bioinformatics in Russia: history and present-day landscape
Muhammad Amjad Nawaz, I. E. Pamirsky, Kirill S. Golokhvast
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access | Times Cited: 2
Potential of Negative-Ion-Mode Proteomics: An MS1-Only Approach
Pelayo Álvarez Penanes, Vladimir Gorshkov, Mark V. Ivanov, et al.
Journal of Proteome Research (2023) Vol. 22, Iss. 8, pp. 2734-2742
Open Access | Times Cited: 6
On the excessive use of coefficient of variation as a metric of quantitation quality in proteomics
Mark V. Ivanov, Leyla A. Garibova, Valeriy I. Postoenko, et al.
PROTEOMICS (2023) Vol. 24, Iss. 1-2
Closed Access | Times Cited: 4
Ultrafast metaproteomics for quantitative assessment of strain isolates and microbiomes
Elizaveta M. Kazakova, Mark V. Ivanov, Tomiris Kusainova, et al.
Microchemical Journal (2024), pp. 111823-111823
Closed Access | Times Cited: 1
A Deep Convolutional Neural Network for Prediction of Peptide Collision Cross Sections in Ion Mobility Spectrometry
Yu. V. Samukhina, Dmitriy D. Matyushin, Oksana I. Grinevich, et al.
Biomolecules (2021) Vol. 11, Iss. 12, pp. 1904-1904
Open Access | Times Cited: 8
On the Feasibility of Using an Ultra-Fast DirectMS1 Method of Proteome-Wide Analysis for Searching Drug Targets in Chemical Proteomics
Elizaveta M. Solovyeva, Julia A. Bubis, Irina A. Tarasova, et al.
Biochemistry (Moscow) (2022) Vol. 87, Iss. 11, pp. 1342-1353
Open Access | Times Cited: 5
Simplifying MS1 and MS2 spectra to achieve lower mass error, more dynamic range, and higher peptide identification confidence on the Bruker timsTOF Pro
Daryl Wilding‐McBride, Laura F. Dagley, Sukhdeep K. Spall, et al.
PLoS ONE (2022) Vol. 17, Iss. 7, pp. e0271025-e0271025
Open Access | Times Cited: 3
IQMMA: an efficient MS1 intensity extraction using multiple feature detection algorithms for DDA proteomics
Valeriy I. Postoenko, Leyla A. Garibova, Lev I. Levitsky, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
IQMMA: Efficient MS1 Intensity Extraction Pipeline Using Multiple Feature Detection Algorithms for DDA Proteomics
Valeriy I. Postoenko, Leyla A. Garibova, Lev I. Levitsky, et al.
Journal of Proteome Research (2023) Vol. 22, Iss. 9, pp. 2827-2835
Closed Access | Times Cited: 1
Ultrafast Metaproteomics for Quantitative Assessment of Strain Isolates and Microbiomes
Elizaveta Kazakova, Mark V. Ivanov, Tomiris Kusainova, et al.
(2024)
Closed Access
A modified decision tree improves generalization across multiple brains proteomic data sets and reveals the role of ferroptosis in Alzheimer’s disease
Mark V. Ivanov, Anna S. Kopeykina, Elizaveta M. Kazakova, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A de novo MS1 feature detector for the Bruker timsTOF Pro
Daryl Wilding‐McBride, Andrew I. Webb
PLoS ONE (2022) Vol. 17, Iss. 11, pp. e0277122-e0277122
Open Access | Times Cited: 2
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