Suruchi Singh
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 10%
Papers in
-
- SARS-CoV-2 and COVID-19 Research 3
- Viral Infections and Vectors 2
- Co-authors
- Marie Pancera (4 shared papers)Andrew T. McGuire (2 shared papers)Michael Boeckh (1 shared paper)Anna J. MacCamy (1 shared paper)Leonidas Stamatatos (1 shared paper)Helen Y. Chu (1 shared paper)Janet A. Englund (1 shared paper)Andrew B. Stuart (1 shared paper)
- Journals
- FEBS Journal (2 papers)The Journal of Experimental Medicine (1 paper)Acta Oncologica (1 paper)Mathematics and Computers in Simulation (1 paper)Nature Communications (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Suruchi Singh
20 papers receiving 397 citations
Peers
Comparison fields: 5 of 72
- Infectious Diseases 231
- Modeling and Simulation 21
- Cancer Research 47
- Animal Science and Zoology 32
- Immunology 56
Countries citing papers authored by Suruchi Singh
This map shows the geographic impact of Suruchi Singh'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 Suruchi Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suruchi Singh more than expected).
Fields of papers citing papers by Suruchi Singh
This network shows the impact of papers produced by Suruchi Singh. 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 Suruchi Singh. The network helps show where Suruchi Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Suruchi Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 210 | |
| 2 | 2005 | 33 | |
| 3 | 2007 | 30 | |
| 4 | 2021 | 21 | |
| 5 | 2021 | 20 | |
| 6 | 2015 | 16 | |
| 7 | 2015 | 16 | |
| 8 | 2022 | 15 | |
| 9 | 2023 | 10 | |
| 10 | 2018 | 8 | |
| 11 | 2021 | 5 | |
| 12 | 2024 | 5 | |
| 13 | 2006 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2018 | 2 | |
| 16 | 2024 | 1 | |
| 17 | Immunosuppressive effect of infectious bursal disease virus on immune response to Ranikhet disease virus vaccine in chicks after F strain RD vaccination | 2002 | 1 |
| 18 | 2021 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2021 | 1 |
About Suruchi Singh
Suruchi Singh is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 23 papers that have together received 404 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Enzyme Structure and Function (3 papers), Metabolism and Genetic Disorders (2 papers), Breast Cancer Treatment Studies (2 papers), Viral Infections and Vectors (2 papers), Breast Lesions and Carcinomas (2 papers) and Breast Implant and Reconstruction (2 papers). The work is most often cited by research in Infectious Diseases (231 citations), Modeling and Simulation (21 citations), Cancer Research (47 citations), Animal Science and Zoology (32 citations) and Immunology (56 citations). Suruchi Singh has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Marie Pancera, Andrew T. McGuire, Michael Boeckh, Anna J. MacCamy, Leonidas Stamatatos, Helen Y. Chu, Janet A. Englund, Andrew B. Stuart, Yu-Hsin Wan and M. Juliana McElrath. Their work appears in journals such as FEBS Journal, The Journal of Experimental Medicine, Acta Oncologica, Mathematics and Computers in Simulation and Nature Communications.
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.