E. S. Thomas

38 papers receiving 1.1k citations

Peers

E. S. Thomas
Comparison fields: 5 of 127
  • Obstetrics and Gynecology 147
  • Infectious Diseases 261
  • Clinical Biochemistry 94
  • Geometry and Topology 71
  • Endocrinology, Diabetes and Metabolism 129
Replace Tetsuo Nakamura with:
Tetsuo Nakamura Japan
Yimin Zhu China
Monica Gupta India
Yoshihiko Nagai Canada
Ravindra P. Veeranna India
Julien Textoris France
Katherine Yang United States
Piotr Nowak Sweden
Rob ter Horst Netherlands
Wei Deng China
E. S. Thomas relative to Tetsuo Nakamura Japan Tetsuo Nakamura's profile →
Citations per field
00.5×10×13.4×
Tetsuo Nakamura · 1×
Citations per year

Countries citing papers authored by E. S. Thomas

Since Specialization
Citations

This map shows the geographic impact of E. S. Thomas'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 E. S. Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. S. Thomas more than expected).

Fields of papers citing papers by E. S. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. S. Thomas. 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 E. S. Thomas. The network helps show where E. S. Thomas may publish in the future.

Co-authors

The 25 scholars most cited alongside E. S. Thomas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E. S. Thomas Line = papers co-authored together E. S. Thomas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014224
2 2020164
3 200894
4 201473
5 201762
6 201959
7 201559
8 202157
9 198247
10 201540
11 200838
12 201831
13 201831
14 198225
15 199324
16 197313
17 197812
18 201412
19 200810
20 19748

About E. S. Thomas

E. S. Thomas is a scholar working on Geometry and Topology, Mathematical Physics, Public Health, Environmental and Occupational Health, Molecular Biology and Applied Mathematics, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (8 papers), Advanced Differential Equations and Dynamical Systems (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Functional Equations Stability Results (3 papers), Diet and metabolism studies (3 papers), Quantum chaos and dynamical systems (3 papers) and Advanced Topology and Set Theory (3 papers). The work is most often cited by research in Obstetrics and Gynecology (147 citations), Infectious Diseases (261 citations), Clinical Biochemistry (94 citations), Geometry and Topology (71 citations) and Endocrinology, Diabetes and Metabolism (129 citations). E. S. Thomas has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Kate E. Stanley, Dagan Wells, Stephanie Van Horn, James R. Brown, Deepak K. Rajpal, Aaron Spivak, Sam Miller, David Baker, Andrew W. Nicholls and Ganesh M. Sathe. Their work appears in journals such as The Journal of Difference Equations and Applications, Antimicrobial Agents and Chemotherapy, Proceedings of the American Mathematical Society, Journal of the London Mathematical Society and Journal of Differential Equations.

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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