Swetha Kumar

599 citations
13 papers · 470 · h-index 8

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 8
    • Epigenetics and DNA Methylation 1
    • Cancer-related gene regulation 1
    • Insect Utilization and Effects 1

Swetha Kumar

12 papers receiving 462 citations

Peers

Swetha Kumar
Comparison fields: 5 of 52
  • Infectious Diseases 322
  • Cancer Research 17
  • Molecular Biology 75
  • Modeling and Simulation 4
  • Management of Technology and Innovation 6
Replace Dolorès Vaira with:
Dolorès Vaira Belgium
Yetian Dong China
Christian Sommerauer Sweden
Lucía Morales Spain
Xiya Deng China
Rachel A. Sattler United States
Alexander H. Tavares United States
Francis H. Swaneveld Netherlands
Hasahn L. Conway United States
Kyle L. Jung United States
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Citations per field
00.5×2×4×6×8×9.2×
Dolorès Vaira · 1×
Citations per year

Countries citing papers authored by Swetha Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Swetha Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Swetha Kumar, 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 Swetha Kumar Line = papers co-authored together Swetha Kumar links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2020349
2 201833
3 202014
4 201612
5 202012
6 201110
7 202210
8 20238
9 20226
10 20236
11 20246
12 20223
13 20241

About Swetha Kumar

Swetha Kumar is a scholar working on Molecular Biology, Insect Science, Cancer Research, Spectroscopy and Computational Theory and Mathematics, having authored 13 papers that have together received 470 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (8 papers), Cancer, Hypoxia, and Metabolism (1 paper), Epigenetics and DNA Methylation (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Insect Utilization and Effects (1 paper), Computational Drug Discovery Methods (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Cancer-related gene regulation (1 paper). The work is most often cited by research in Infectious Diseases (322 citations), Cancer Research (17 citations), Molecular Biology (75 citations), Modeling and Simulation (4 citations) and Management of Technology and Innovation (6 citations). Swetha Kumar has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Michael J. Betenbaugh, Jagadish Chandrabose Sundaramurthi, Elizabeth Hanna Luke, Robert Norman Cole, Winston Timp, Harnish Mukesh Naik, Jacqueline E. Gonzalez, Lauren R. Devine, Maciek R. Antoniewicz and Sriram Rajagopal. Their work appears in journals such as Biotechnology and Bioengineering, Journal of Clinical Investigation, Expert Opinion on Therapeutic Targets, Biotechnology Journal and Proceedings of the National Academy of Sciences.

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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