Sakshi Tomar
- Infectious Diseases top 5%
- Computational Theory and Mathematics top 2%
- Molecular Biology
- Organic Chemistry
- Animal Science and Zoology top 5%
- Co-authors
- Andrew D. MesecarShaun R. StaufferSarah E. St. JohnMark R. DenisonValerie Grum‐TokarsPeter ChaseMark TurlingtonLake N. Paul
- Topics
- SARS-CoV-2 and COVID-19 Research (5 papers)Viral gastroenteritis research and epidemiology (3 papers)Mosquito-borne diseases and control (3 papers)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Sakshi Tomar
19 papers receiving 763 citations
Peers
Comparison fields: 5 of 81
- Infectious Diseases 474
- Computational Theory and Mathematics 303
- Molecular Biology 245
- Organic Chemistry 110
- Animal Science and Zoology 87
Countries citing papers authored by Sakshi Tomar
This map shows the geographic impact of Sakshi Tomar'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 Sakshi Tomar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sakshi Tomar more than expected).
Fields of papers citing papers by Sakshi Tomar
This network shows the impact of papers produced by Sakshi Tomar. 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 Sakshi Tomar. The network helps show where Sakshi Tomar may publish in the future.
Co-authorship network of co-authors of Sakshi Tomar
This figure shows the co-authorship network connecting the top 25 collaborators of Sakshi Tomar. A scholar is included among the top collaborators of Sakshi Tomar 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 Sakshi Tomar. Sakshi Tomar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 31 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 61 | |
| 9 | 18 | |
| 10 | 8 | |
| 11 | 59 | |
| 12 | 111 | |
| 13 | 64 | |
| 14 | Understanding the determinants for substrate recognition, regulation of enzymatic activity and the development of broad-spectrum inhibitors of coronavirus 3-chymotrypsin-like proteases | 0 |
| 15 | 46 | |
| 16 | 85 | |
| 17 | 100 | |
| 18 | 20 | |
| 19 | 1 | |
| 20 | 5 |
About Sakshi Tomar
Sakshi Tomar is a scholar working on Infectious Diseases, Animal Science and Zoology and Physical and Theoretical Chemistry, having authored 22 papers that have together received 781 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Viral gastroenteritis research and epidemiology (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Infectious Diseases (474 citations), Computational Theory and Mathematics (303 citations) and Animal Science and Zoology (87 citations). Sakshi Tomar has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Andrew D. Mesecar, Shaun R. Stauffer, Sarah E. St. John, Mark R. Denison, Valerie Grum‐Tokars, Peter Chase, Mark Turlington, Lake N. Paul, Yahira M. Báez-Santos and Craig W. Lindsley. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.
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.