Uma S. Dubey

1.3k citations
29 papers · 844 indexed · 1 hit paper · h-index 13
Topics
Mathematical and Theoretical Epidemiology and Ecology Models (13 papers)COVID-19 epidemiological studies (8 papers)Animal Diversity and Health Studies (8 papers)
Partner nations
IndiaUnited States

In The Last Decade

Uma S. Dubey

28 papers receiving 788 citations

Hit Papers

Epidemiology of breast cancer in Indian women20172026202020232017100200300400

Peers

Uma S. Dubey
Comparison fields: 5 of 116
  • Public Health, Environmental and Occupational Health 259
  • Oncology 206
  • Modeling and Simulation 193
  • Genetics 180
  • Molecular Biology 114
Replace Jie Sheng with:
Jie Sheng China
Yongxiang Yi China
Johnson Yiu‐Nam Lau Hong Kong
Shanshan Cheng China
Alan D. Brooks United States
Huabing Tan China
Fei Yu China
Nikolaos C. Kyriakidis Ecuador
Daniel Eichner United States
Jiangyuan Wang China
Uma S. Dubey relative to Jie Sheng China Jie Sheng's profile →
Citations per field
00.5×4.2×
Jie Sheng · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 1
2 13
3 1
4 4
5 5
6 1
7 7
8 13
9 13
10 2
11 8
12
Epidemiology of breast cancer in Indian womenbreakdown →
460
13 29
14 19
15
Evolution Of Classification Of Bladder (Urothelial) Cancer
1
16
Dynamics of an SIR Model with Nonlinear Incidence and Treatment Rate
39
17 26
18 5
19 8
20 4

About Uma S. Dubey

Uma S. Dubey is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Food Science, having authored 29 papers that have together received 844 indexed citations. Recurring topics across this 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). The work is most often cited by research in Modeling and Simulation (193 citations), Public Health, Environmental and Occupational Health (259 citations) and Oncology (206 citations). Uma S. Dubey has collaborated with scholars based in India and United States. Frequent co-authors include Sunita Saxena, Balram Dubey, Prashant K. Srivastava, Manohar Lal, Suman Kapur, Sandip Banerjee, Hira L. Nakhasi, Narender Singh Negi, Poonam Salotra and Himanshu Kaushal. Their work appears in journals such as Scientific Reports, Journal of Physics and Chemistry of Solids and Mathematical Biosciences.

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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