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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:

Clinical potential of mass spectrometry-based proteogenomics
Bing Zhang, Jeffrey R. Whiteaker, Andrew N. Hoofnagle, et al.
Nature Reviews Clinical Oncology (2018) Vol. 16, Iss. 4, pp. 256-268
Open Access | Times Cited: 174

Showing 1-25 of 174 citing articles:

Integrated Proteogenomic Characterization of HBV-Related Hepatocellular Carcinoma
Qiang Gao, Hongwen Zhu, Liangqing Dong, et al.
Cell (2019) Vol. 179, Iss. 2, pp. 561-577.e22
Open Access | Times Cited: 804
Proteogenomic Landscape of Breast Cancer Tumorigenesis and Targeted Therapy
Karsten Krug, Eric J. Jaehnig, Shankha Satpathy, et al.
Cell (2020) Vol. 183, Iss. 5, pp. 1436-1456.e31
Open Access | Times Cited: 393
FunRich enables enrichment analysis of OMICs datasets
Pamali Fonseka, Mohashin Pathan, Sai V. Chitti, et al.
Journal of Molecular Biology (2020) Vol. 433, Iss. 11, pp. 166747-166747
Closed Access | Times Cited: 227
Application of Proteomics in Cancer: Recent Trends and Approaches for Biomarkers Discovery
Yang Woo Kwon, Han-Seul Jo, Sungwon Bae, et al.
Frontiers in Medicine (2021) Vol. 8
Open Access | Times Cited: 183
Data-independent acquisition mass spectrometry (DIA-MS) for proteomic applications in oncology
Lukáš Krásný, Paul H. Huang
Molecular Omics (2020) Vol. 17, Iss. 1, pp. 29-42
Open Access | Times Cited: 150
Cancer proteogenomics: current impact and future prospects
D.R. Mani, Karsten Krug, Bing Zhang, et al.
Nature reviews. Cancer (2022) Vol. 22, Iss. 5, pp. 298-313
Closed Access | Times Cited: 148
Automated Coupling of Nanodroplet Sample Preparation with Liquid Chromatography–Mass Spectrometry for High-Throughput Single-Cell Proteomics
Sarah Williams, Andrey Liyu, Chia‐Feng Tsai, et al.
Analytical Chemistry (2020) Vol. 92, Iss. 15, pp. 10588-10596
Open Access | Times Cited: 146
The next horizon in precision oncology: Proteogenomics to inform cancer diagnosis and treatment
Henry Rodriguez, Jean C. Zenklusen, Louis M. Staudt, et al.
Cell (2021) Vol. 184, Iss. 7, pp. 1661-1670
Open Access | Times Cited: 146
Multi-Omics Profiling for Health
Mohan Babu, M Snyder
Molecular & Cellular Proteomics (2023) Vol. 22, Iss. 6, pp. 100561-100561
Open Access | Times Cited: 140
Proteogenomic data and resources for pan-cancer analysis
Yize Li, Yongchao Dou, Felipe da Veiga Leprevost, et al.
Cancer Cell (2023) Vol. 41, Iss. 8, pp. 1397-1406
Open Access | Times Cited: 85
Pan-cancer proteogenomics expands the landscape of therapeutic targets
Sara R. Savage, Xinpei Yi, Jonathan T. Lei, et al.
Cell (2024) Vol. 187, Iss. 16, pp. 4389-4407.e15
Open Access | Times Cited: 25
Cancer neoantigen prioritization through sensitive and reliable proteogenomics analysis
Bo Wen, Kai Li, Yun Zhang, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 122
Analytical strategies for the discovery and validation of quality-markers of traditional Chinese medicine
Junling Ren, Aihua Zhang, Ling Kong, et al.
Phytomedicine (2019) Vol. 67, pp. 153165-153165
Closed Access | Times Cited: 109
Cancer therapies based on targeted protein degradation — lessons learned with lenalidomide
Max Jan, Adam S. Sperling, Benjamin L. Ebert
Nature Reviews Clinical Oncology (2021) Vol. 18, Iss. 7, pp. 401-417
Open Access | Times Cited: 100
An Introduction to Advanced Targeted Acquisition Methods
Mirjam van Bentum, Matthias Selbach
Molecular & Cellular Proteomics (2021) Vol. 20, pp. 100165-100165
Open Access | Times Cited: 90
Exploiting Tumor Neoantigens to Target Cancer Evolution: Current Challenges and Promising Therapeutic Approaches
Ravi G. Gupta, Fenge Li, Jason Roszik, et al.
Cancer Discovery (2021) Vol. 11, Iss. 5, pp. 1024-1039
Open Access | Times Cited: 81
Proteogenomic analysis of lung adenocarcinoma reveals tumor heterogeneity, survival determinants, and therapeutically relevant pathways
Anthony R. Soltis, Nicholas W. Bateman, Jianfang Liu, et al.
Cell Reports Medicine (2022) Vol. 3, Iss. 11, pp. 100819-100819
Open Access | Times Cited: 43
Deep top-down proteomics revealed significant proteoform-level differences between metastatic and nonmetastatic colorectal cancer cells
Elijah N. McCool, Tian Xu, Wenrong Chen, et al.
Science Advances (2022) Vol. 8, Iss. 51
Open Access | Times Cited: 41
The Current Status of Molecular Biomarkers for Inflammatory Bowel Disease
Zahra Alghoul, Chunhua Yang, Didier Merlin
Biomedicines (2022) Vol. 10, Iss. 7, pp. 1492-1492
Open Access | Times Cited: 40
Proteogenomic analysis of chemo-refractory high-grade serous ovarian cancer
Shrabanti Chowdhury, Jacob J. Kennedy, Richard G. Ivey, et al.
Cell (2023) Vol. 186, Iss. 16, pp. 3476-3498.e35
Open Access | Times Cited: 34
Single-cell metabolic fingerprints discover a cluster of circulating tumor cells with distinct metastatic potential
Wenjun Zhang, Feifei Xu, Yao Jiang, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 29
A proteogenomics data-driven knowledge base of human cancer
Yuxing Liao, Sara R. Savage, Yongchao Dou, et al.
Cell Systems (2023) Vol. 14, Iss. 9, pp. 777-787.e5
Closed Access | Times Cited: 26
Revolutionizing Personalized Medicine: Synergy with Multi-Omics Data Generation, Main Hurdles, and Future Perspectives
G. Molla, Molalegne Bitew
Biomedicines (2024) Vol. 12, Iss. 12, pp. 2750-2750
Open Access | Times Cited: 9
Developing T Cell Epitope-Based Vaccines Against Infection: Challenging but Worthwhile
Xian Tang, Wei Zhang, Zheng Zhang
Vaccines (2025) Vol. 13, Iss. 2, pp. 135-135
Open Access | Times Cited: 1
RNA sequencing for research and diagnostics in clinical oncology
Anton Buzdin, Maxim Sorokin, Andrew Garazha, et al.
Seminars in Cancer Biology (2019) Vol. 60, pp. 311-323
Closed Access | Times Cited: 75
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