Ewy A. Mathé

8.0k total citations · 1 hit paper
74 papers, 4.5k citations indexed

About

Ewy A. Mathé is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Ewy A. Mathé has authored 74 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 12 papers in Computational Theory and Mathematics and 12 papers in Cancer Research. Recurrent topics in Ewy A. Mathé's work include Bioinformatics and Genomic Networks (22 papers), Metabolomics and Mass Spectrometry Studies (19 papers) and Computational Drug Discovery Methods (12 papers). Ewy A. Mathé is often cited by papers focused on Bioinformatics and Genomic Networks (22 papers), Metabolomics and Mass Spectrometry Studies (19 papers) and Computational Drug Discovery Methods (12 papers). Ewy A. Mathé collaborates with scholars based in United States, Japan and United Kingdom. Ewy A. Mathé's co-authors include Chikashi Ishioka, Magali Olivier, Pierre Hainaut, Shunsuke Kato, Audrey Petitjean, Sean V. Tavtigian, Curtis C. Harris, Elise D. Bowman, Aaron J. Schetter and Carlo M. Croce and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Ewy A. Mathé

68 papers receiving 4.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Impact of mutant p53 functional properties onTP53mutation patterns and tumor phenotype: lessons from recent developments in the IARC TP53 database

2007 1.2k citations Ewy A. Mathé et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ewy A. Mathé United States	28	3.0k	1.6k	1.2k	465	364	74	4.5k
Gong Yang China	45	2.8k 1.0×	1.5k 0.9×	1.4k 1.2×	461 1.0×	256 0.7×	108	5.0k
Dipali Sharma United States	40	2.8k 0.9×	1.1k 0.7×	1.4k 1.2×	357 0.8×	620 1.7×	100	5.1k
Kwang‐Huei Lin Taiwan	46	3.4k 1.2×	1.8k 1.1×	923 0.8×	458 1.0×	654 1.8×	188	6.2k
Dipak Panigrahy United States	26	2.4k 0.8×	1.4k 0.9×	772 0.7×	349 0.8×	176 0.5×	45	4.5k
Wen‐Chun Hung Taiwan	45	3.1k 1.0×	1.2k 0.7×	1.5k 1.3×	367 0.8×	337 0.9×	143	5.3k
Asako Nakamura Japan	30	4.1k 1.4×	1.4k 0.9×	1.5k 1.2×	718 1.5×	292 0.8×	97	5.7k
Xiao‐Feng Zhu China	36	3.0k 1.0×	1.2k 0.7×	1.0k 0.9×	346 0.7×	158 0.4×	145	5.1k
Bailin Zhang China	21	2.1k 0.7×	1.0k 0.6×	627 0.5×	236 0.5×	327 0.9×	93	3.7k
Yun‐Yong Park South Korea	34	2.2k 0.7×	827 0.5×	844 0.7×	388 0.8×	326 0.9×	71	3.5k

Countries citing papers authored by Ewy A. Mathé

Since Specialization

Citations

This map shows the geographic impact of Ewy A. Mathé's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ewy A. Mathé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ewy A. Mathé more than expected).

Fields of papers citing papers by Ewy A. Mathé

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ewy A. Mathé. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ewy A. Mathé. The network helps show where Ewy A. Mathé may publish in the future.

Co-authorship network of co-authors of Ewy A. Mathé

This figure shows the co-authorship network connecting the top 25 collaborators of Ewy A. Mathé. A scholar is included among the top collaborators of Ewy A. Mathé based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ewy A. Mathé. Ewy A. Mathé is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Sacks, Leonard, et al.. (2025). CURE ID : A Platform to Collect Real‐World Treatment Data for Drug Repurposing in Rare Genetic Disorders. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 199(3). 189–193.

Ballew, Richard M., et al.. (2024). User Centered Rare Disease Clinical Trial Knowledge Graph (RCTKG). Studies in health technology and informatics. 310. 94–98.

Braisted, John, Theresa R. Henderson, John W. Newman, et al.. (2024). Effects of preanalytical sample collection and handling on comprehensive metabolite measurements in human urine biospecimens. American Journal of Epidemiology.

Yadaw, Arjun S., David Sahner, Hythem Sidky, et al.. (2023). Preexisting Autoimmunity Is Associated With Increased Severity of Coronavirus Disease 2019: A Retrospective Cohort Study Using Data From the National COVID Cohort Collaborative (N3C). Clinical Infectious Diseases. 77(6). 816–826. 6 indexed citations

Braisted, John, Su H. Chu, Qingwen Chen, et al.. (2023). Nucleotide, Phospholipid, and Kynurenine Metabolites Are Robustly Associated with COVID-19 Severity and Time of Plasma Sample Collection in a Prospective Cohort Study. International Journal of Molecular Sciences. 25(1). 346–346. 1 indexed citations

Shields, Peter G., Theodore M. Brasky, Jo L. Freudenheim, et al.. (2023). A Pilot Cross-Sectional Study of Immunological and Microbiome Profiling Reveals Distinct Inflammatory Profiles for Smokers, Electronic Cigarette Users, and Never-Smokers. Microorganisms. 11(6). 1405–1405. 5 indexed citations

Braisted, John, et al.. (2022). RaMP-DB 2.0: a renovated knowledgebase for deriving biological and chemical insight from metabolites, proteins, and genes. Bioinformatics. 39(1). 21 indexed citations

Kelleher, Keith J., Timothy Sheils, Stephen L. Mathias, et al.. (2022). Pharos 2023: an integrated resource for the understudied human proteome. Nucleic Acids Research. 51(D1). D1405–D1416. 50 indexed citations

Brasky, Theodore M., Jo L. Freudenheim, Joseph McElroy, et al.. (2022). Saliva and Lung Microbiome Associations with Electronic Cigarette Use and Smoking. Cancer Prevention Research. 15(7). 435–446. 17 indexed citations

10.

Siramshetty, Vishal B., Ivan Grishagin, Ðắc-Trung Nguyễn, et al.. (2021). NCATS Inxight Drugs: a comprehensive and curated portal for translational research. Nucleic Acids Research. 50(D1). D1307–D1316. 36 indexed citations

11.

Guo, Yan, Xia Ning, Ewy A. Mathé, et al.. (2020). Innovating Computational Biology and Intelligent Medicine: ICIBM 2019 Special Issue. PMC.

12.

Li, Yang, Anjun Ma, Ewy A. Mathé, et al.. (2020). Elucidation of Biological Networks across Complex Diseases Using Single-Cell Omics. Trends in Genetics. 36(12). 951–966. 22 indexed citations

13.

Chu, Su H., Mengna Huang, Rachel S. Kelly, et al.. (2019). Integration of Metabolomic and Other Omics Data in Population-Based Study Designs: An Epidemiological Perspective. Metabolites. 9(6). 117–117. 57 indexed citations

14.

Baskin, Elizabeth, Rick Farouni, & Ewy A. Mathé. (2016). ALTRE: workflow for defining ALTered Regulatory Elements using chromatin accessibility data. Bioinformatics. 33(5). 740–742. 3 indexed citations

15.

Haznadar, Majda, Qiuyin Cai, Kristopher W. Krausz, et al.. (2016). Urinary Metabolite Risk Biomarkers of Lung Cancer: A Prospective Cohort Study. Cancer Epidemiology Biomarkers & Prevention. 25(6). 978–986. 45 indexed citations

16.

Mathé, Ewy A., Andrew D. Patterson, Majda Haznadar, et al.. (2014). Noninvasive Urinary Metabolomic Profiling Identifies Diagnostic and Prognostic Markers in Lung Cancer. Cancer Research. 74(12). 3259–3270. 142 indexed citations

17.

Nguyen, Giang Huong, Aaron J. Schetter, David B. Chou, et al.. (2010). Inflammatory and MicroRNA Gene Expression as Prognostic Classifier of Barrett's-Associated Esophageal Adenocarcinoma. Clinical Cancer Research. 16(23). 5824–5834. 58 indexed citations

18.

Mathé, Ewy A., Giang Huong Nguyen, Elise D. Bowman, et al.. (2009). MicroRNA Expression in Squamous Cell Carcinoma and Adenocarcinoma of the Esophagus: Associations with Survival. Clinical Cancer Research. 15(19). 6192–6200. 319 indexed citations

19.

Schetter, Aaron J., Giang Huong Nguyen, Elise D. Bowman, et al.. (2009). Association of Inflammation-Related and microRNA Gene Expression with Cancer-Specific Mortality of Colon Adenocarcinoma. Clinical Cancer Research. 15(18). 5878–5887. 155 indexed citations

20.

Hussain, S. Perwez, Peijun He, Jeffrey Subleski, et al.. (2008). Nitric Oxide Is a Key Component in Inflammation-Accelerated Tumorigenesis. Cancer Research. 68(17). 7130–7136. 85 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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