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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:

Next-generation Interactomics: Considerations for the Use of Co-elution to Measure Protein Interaction Networks
Daniela Salas, R. Greg Stacey, Mopelola O. Akinlaja, et al.
Molecular & Cellular Proteomics (2019) Vol. 19, Iss. 1, pp. 1-10
Open Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

Proteomic and interactomic insights into the molecular basis of cell functional diversity
Isabell Bludau, Ruedi Aebersold
Nature Reviews Molecular Cell Biology (2020) Vol. 21, Iss. 6, pp. 327-340
Closed Access | Times Cited: 215
Proximity Dependent Biotinylation: Key Enzymes and Adaptation to Proteomics Approaches
Payman Samavarchi‐Tehrani, Reuben Samson, Anne‐Claude Gingras
Molecular & Cellular Proteomics (2020) Vol. 19, Iss. 5, pp. 757-773
Open Access | Times Cited: 174
Understudied proteins: opportunities and challenges for functional proteomics
Georg Kustatscher, Tom Collins, Anne‐Claude Gingras, et al.
Nature Methods (2022) Vol. 19, Iss. 7, pp. 774-779
Open Access | Times Cited: 162
Decoding Post-Translational Modification Crosstalk With Proteomics
Mario Leutert, Samuel W. Entwisle, Judit Villén
Molecular & Cellular Proteomics (2021) Vol. 20, pp. 100129-100129
Open Access | Times Cited: 160
A deep learning model of tumor cell architecture elucidates response and resistance to CDK4/6 inhibitors
Sungjoon Park, Erica Silva, Akshat Singhal, et al.
Nature Cancer (2024) Vol. 5, Iss. 7, pp. 996-1009
Open Access | Times Cited: 18
Recent progress in mass spectrometry-based strategies for elucidating protein–protein interactions
Teck Yew Low, Saiful Effendi Syafruddin, M. Aiman Mohtar, et al.
Cellular and Molecular Life Sciences (2021) Vol. 78, Iss. 13, pp. 5325-5339
Open Access | Times Cited: 88
DIP-MS: ultra-deep interaction proteomics for the deconvolution of protein complexes
Fabian Frommelt, Andrea Fossati, Federico Uliana, et al.
Nature Methods (2024) Vol. 21, Iss. 4, pp. 635-647
Open Access | Times Cited: 14
Mapping protein–protein interactions by mass spectrometry
Xiaonan Liu, Lawrence Abad, Lopamudra Chatterjee, et al.
Mass Spectrometry Reviews (2024)
Open Access | Times Cited: 10
A protein network map of head and neck cancer reveals PIK3CA mutant drug sensitivity
Danielle L. Swaney, Dana J. Ramms, Zhiyong Wang, et al.
Science (2021) Vol. 374, Iss. 6563
Open Access | Times Cited: 56
Meta-analysis defines principles for the design and analysis of co-fractionation mass spectrometry experiments
Michael A. Skinnider, Leonard J. Foster
Nature Methods (2021) Vol. 18, Iss. 7, pp. 806-815
Closed Access | Times Cited: 55
PCprophet: a framework for protein complex prediction and differential analysis using proteomic data
Andrea Fossati, Chen Li, Federico Uliana, et al.
Nature Methods (2021) Vol. 18, Iss. 5, pp. 520-527
Closed Access | Times Cited: 52
Mapping the multiscale structure of biological systems
Leah V. Schaffer, Trey Ideker
Cell Systems (2021) Vol. 12, Iss. 6, pp. 622-635
Open Access | Times Cited: 51
A multi-scale map of protein assemblies in the DNA damage response
Anton Kratz, Minkyu Kim, Marcus R. Kelly, et al.
Cell Systems (2023) Vol. 14, Iss. 6, pp. 447-463.e8
Open Access | Times Cited: 20
Next-generation proteomics for quantitative Jumbophage-bacteria interaction mapping
Andrea Fossati, Deepto Mozumdar, Claire Kokontis, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 20
Omics Approaches to Drug and Drug-Non-Drug Interactions
Angela Adamski da Silva Reis, Rodrigo da Silva Santos
(2025), pp. 261-290
Closed Access
Multimerization variants as potential drivers of neofunctionalization
Youngwoo Lee, Daniel B. Szymanski
Science Advances (2021) Vol. 7, Iss. 13
Open Access | Times Cited: 21
Molecules interact. But how strong and how much?
Kathleen M. Weimer, Boglárka Zámbó, Gergő Gógl
BioEssays (2023) Vol. 45, Iss. 6
Open Access | Times Cited: 9
Integration of data‐independent acquisition (DIA) with co‐fractionation mass spectrometry (CF‐MS) to enhance interactome mapping capabilities
Brenna N. Hay, Mopelola O. Akinlaja, Teesha C Baker, et al.
PROTEOMICS (2023) Vol. 23, Iss. 21-22
Open Access | Times Cited: 9
Context-specific interactions in literature-curated protein interaction databases
R. Greg Stacey, Michael A. Skinnider, Jenny Chik, et al.
BMC Genomics (2018) Vol. 19, Iss. 1
Open Access | Times Cited: 27
Mass Spectrometry-Based Protein Complex Profiling in Time and Space
Jiangnan Zheng, Chen Xiong, Yun Yang, et al.
Analytical Chemistry (2020) Vol. 93, Iss. 1, pp. 598-619
Closed Access | Times Cited: 21
DeepSG2PPI: A Protein-Protein Interaction Prediction Method Based on Deep Learning
Fan Zhang, Yawei Zhang, Xiaoke Zhu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 20, Iss. 5, pp. 2907-2919
Closed Access | Times Cited: 7
Recent Advances in Mass Spectrometry-based Protein Interactome Studies
Shaowen Wu, Sheng Zhang, Chunming Liu, et al.
Molecular & Cellular Proteomics (2024), pp. 100887-100887
Open Access | Times Cited: 2
Analytical Guidelines for co-fractionation Mass Spectrometry Obtained through Global Profiling of Gold Standard Saccharomyces cerevisiae Protein Complexes
Chi Nam Ignatius Pang, Sara Ballouz, Daniel Weissberger, et al.
Molecular & Cellular Proteomics (2020) Vol. 19, Iss. 11, pp. 1876-1895
Open Access | Times Cited: 18
Discovery–Versus Hypothesis–Driven Detection of Protein–Protein Interactions and Complexes
Isabell Bludau
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 9, pp. 4450-4450
Open Access | Times Cited: 15
Past accomplishments and future challenges of the multi-omics characterization of leaf growth
Aleksandra Skirycz, Alisdair R. Fernie
PLANT PHYSIOLOGY (2022) Vol. 189, Iss. 2, pp. 473-489
Open Access | Times Cited: 11
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