Saumya S. Thomas

44 total papers · 637 total citations
25 papers, 349 citations indexed

About

Saumya S. Thomas is a scholar working on Epidemiology, Agronomy and Crop Science and Infectious Diseases. According to data from OpenAlex, Saumya S. Thomas has authored 25 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Epidemiology, 16 papers in Agronomy and Crop Science and 14 papers in Infectious Diseases. Recurrent topics in Saumya S. Thomas's work include Influenza Virus Research Studies (20 papers), Animal Disease Management and Epidemiology (16 papers) and Viral gastroenteritis research and epidemiology (10 papers). Saumya S. Thomas is often cited by papers focused on Influenza Virus Research Studies (20 papers), Animal Disease Management and Epidemiology (16 papers) and Viral gastroenteritis research and epidemiology (10 papers). Saumya S. Thomas collaborates with scholars based in United Kingdom, Denmark and Czechia. Saumya S. Thomas's co-authors include Ian H. Brown, Marek J. Slomka, Alejandro Núñez, Alexander M. P. Byrne, Sharon M. Brookes, Amanda H. Seekings, Sahar Mahmood, Joe James, Samantha Watson and Ashley C. Banyard and has published in prestigious journals such as PLoS ONE, Scientific Reports and Virology.

In The Last Decade

Saumya S. Thomas

22 papers receiving 342 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Saumya S. Thomas 323 244 215 46 27 25 349
Audrey Schmitz 261 0.8× 211 0.9× 187 0.9× 37 0.8× 28 1.0× 18 321
Sahar Mahmood 283 0.9× 197 0.8× 188 0.9× 57 1.2× 19 0.7× 24 327
Evelien A. Germeraad 321 1.0× 222 0.9× 245 1.1× 49 1.1× 27 1.0× 20 388
Srey Viseth Horm 328 1.0× 222 0.9× 226 1.1× 31 0.7× 23 0.9× 19 394
Benjamin C. Mollett 268 0.8× 155 0.6× 227 1.1× 59 1.3× 29 1.1× 19 358
E. Raffini 277 0.9× 232 1.0× 186 0.9× 35 0.8× 15 0.6× 17 339
Atanaska Marinova‐Petkova 263 0.8× 195 0.8× 153 0.7× 47 1.0× 14 0.5× 12 306
Asmaa M. Maatouq 300 0.9× 237 1.0× 233 1.1× 86 1.9× 18 0.7× 13 382
C. Wolf 244 0.8× 189 0.8× 187 0.9× 31 0.7× 16 0.6× 14 333
Mohammed K. Hassan 243 0.8× 195 0.8× 131 0.6× 75 1.6× 16 0.6× 19 316

Countries citing papers authored by Saumya S. Thomas

Since Specialization
Citations

This map shows the geographic impact of Saumya 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 Saumya 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 Saumya S. Thomas more than expected).

Fields of papers citing papers by Saumya S. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saumya S. Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of Saumya S. Thomas. A scholar is included among the top collaborators of Saumya S. Thomas 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 Saumya S. Thomas. Saumya S. Thomas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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