Uma S. Dubey

33 total papers · 1.3k total citations
29 papers, 831 citations indexed

About

Uma S. Dubey is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics. According to data from OpenAlex, Uma S. Dubey has authored 29 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Public Health, Environmental and Occupational Health, 14 papers in Modeling and Simulation and 9 papers in Genetics. Recurrent topics in Uma S. Dubey's work include Mathematical and Theoretical Epidemiology and Ecology Models (13 papers), COVID-19 epidemiological studies (8 papers) and Animal Diversity and Health Studies (8 papers). Uma S. Dubey is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (13 papers), COVID-19 epidemiological studies (8 papers) and Animal Diversity and Health Studies (8 papers). Uma S. Dubey collaborates with scholars based in India and United States. Uma S. Dubey's co-authors include Sunita Saxena, Balram Dubey, Prashant K. Srivastava, Manohar Lal, Suman Kapur, V. Ramesh, Angamuthu Selvapandiyan, Sunil Kumar Dubey, Ranadhir Dey and Sreenivas Gannavaram and has published in prestigious journals such as Scientific Reports, Journal of Physics and Chemistry of Solids and Mathematical Biosciences.

In The Last Decade

Uma S. Dubey

28 papers receiving 775 citations

Hit Papers

Epidemiology of breast ca... 2017 2026 2020 2023 2017 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Uma S. Dubey 259 201 189 179 112 29 831
Fang Zhang 315 1.2× 76 0.4× 129 0.7× 130 0.7× 172 1.5× 42 979
Soyoung Kim 121 0.5× 187 0.9× 267 1.4× 65 0.4× 174 1.6× 51 792
Sha He 152 0.6× 58 0.3× 248 1.3× 90 0.5× 433 3.9× 44 989
Amy Wu 143 0.6× 202 1.0× 48 0.3× 93 0.5× 183 1.6× 27 954
Zimo Yang 165 0.6× 105 0.5× 260 1.4× 42 0.2× 232 2.1× 35 1.0k
Zezhou Wang 73 0.3× 136 0.7× 288 1.5× 18 0.1× 195 1.7× 49 989
Zhiyuan Chen 30 0.1× 114 0.6× 172 0.9× 24 0.1× 268 2.4× 53 986
Hongbin Guo 499 1.9× 46 0.2× 348 1.8× 299 1.7× 150 1.3× 54 958
Ewa Szczurek 26 0.1× 57 0.3× 70 0.4× 78 0.4× 487 4.3× 38 845
Frank S. Heldt 42 0.2× 168 0.8× 33 0.2× 110 0.6× 510 4.6× 15 961

Countries citing papers authored by Uma S. Dubey

Since Specialization
Citations

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

Fields of papers citing papers by Uma S. Dubey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uma S. Dubey

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026