Anuj Kumar Sharma

1.4k total citations
60 papers, 850 citations indexed

About

Anuj Kumar Sharma is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Aging. According to data from OpenAlex, Anuj Kumar Sharma has authored 60 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Public Health, Environmental and Occupational Health, 12 papers in Genetics and 10 papers in Aging. Recurrent topics in Anuj Kumar Sharma's work include Mathematical and Theoretical Epidemiology and Ecology Models (14 papers), Evolution and Genetic Dynamics (12 papers) and Genetics, Aging, and Longevity in Model Organisms (10 papers). Anuj Kumar Sharma is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (14 papers), Evolution and Genetic Dynamics (12 papers) and Genetics, Aging, and Longevity in Model Organisms (10 papers). Anuj Kumar Sharma collaborates with scholars based in India, United States and Singapore. Anuj Kumar Sharma's co-authors include Andrew M. Leifer, Francesco Randi, Uttam Pati, Krishna Misra, Upma Narain, Shiv Kumar Dubey, Joshua W. Shaevitz, Joydip Dhar, Rakesh Kumar and Mochi Liu and has published in prestigious journals such as Nature, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Anuj Kumar Sharma

56 papers receiving 831 citations

Peers

Anuj Kumar Sharma
Comparison fields: 5 of 136
  • Public Health, Environmental and Occupational Health 185
  • Aging 128
  • Molecular Biology 126
  • Genetics 121
  • Computer Networks and Communications 84
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Citations per field, relative to Anuj Kumar Sharma
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Citations per year, relative to Anuj Kumar Sharma
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Countries citing papers authored by Anuj Kumar Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Anuj Kumar Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anuj Kumar Sharma. 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 Anuj Kumar Sharma. The network helps show where Anuj Kumar Sharma may publish in the future.

Co-authorship network of co-authors of Anuj Kumar Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Anuj Kumar Sharma. A scholar is included among the top collaborators of Anuj Kumar Sharma 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 Anuj Kumar Sharma. Anuj Kumar Sharma 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
# Work Indexed citations
1 0
2 0
3 7
4 63
5 2
6 1
7 6
8 2
9 1
10 17
11 94
12
Point process latent variable models of larval zebrafish behavior
9
13
Comparison of Machine Learning Algorithms to Determine Traffic Congestion from Camera Images
2
14 41
15 1
16 1
17
Qualitative phytochemical characterization and antimicrobial evaluation of a polyherbal compound - Bharangyadi.
4
18
The role of the incubation period in a disease model.
6
19 10
20 85

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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