Ewy A. Mathé

8.0k citations
74 papers · 4.5k indexed · 1 hit paper · h-index 28
Topics
Bioinformatics and Genomic Networks (22 papers)Metabolomics and Mass Spectrometry Studies (19 papers)Computational Drug Discovery Methods (12 papers)

In The Last Decade

Ewy A. Mathé

68 papers receiving 4.4k citations

Hit Papers

Impact of mutant p53 functional properties onTP53mutation...200720262013201920074008001.2k

Peers

Ewy A. Mathé
Comparison fields: 5 of 138
  • Molecular Biology 3.0k
  • Cancer Research 1.6k
  • Oncology 1.2k
  • Pulmonary and Respiratory Medicine 465
  • Genetics 364
Replace Gong Yang with:
Gong Yang China
Wen‐Chun Hung Taiwan
Kwang‐Huei Lin Taiwan
Asako Nakamura Japan
Xiao‐Feng Zhu China
Dipak Panigrahy United States
Dipali Sharma United States
Chunyou Wang China
Francesca Pentimalli Italy
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Ewy A. Mathé relative to Gong Yang China Gong Yang's profile →
Citations per field
00.5×1.5×
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Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 6
5 1
6 5
7 21
8 50
9 17
10 36
11
Innovating Computational Biology and Intelligent Medicine: ICIBM 2019 Special Issue
0
12 22
13 57
14 3
15 45
16 142
17 58
18 319
19 155
20 85

About Ewy A. Mathé

Ewy A. Mathé is a scholar working on Molecular Biology, Biological Psychiatry and Cancer Research, having authored 74 papers that have together received 4.5k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (22 papers), Metabolomics and Mass Spectrometry Studies (19 papers) and Computational Drug Discovery Methods (12 papers). The work is most often cited by research in Cancer Research (1.6k citations), Oncology (1.2k citations) and Molecular Biology (3.0k citations). Ewy A. Mathé has collaborated with scholars based in United States, Japan and United Kingdom. Frequent 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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