Suruchi Singh
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 10%
Papers in
-
- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- Marie Pancera (4 shared papers)Andrew T. McGuire (2 shared papers)Rakesh Jalali (2 shared papers)Michael Boeckh (1 shared paper)Helen Y. Chu (1 shared paper)Leonidas Stamatatos (1 shared paper)Anna J. MacCamy (1 shared paper)Kristen W. Cohen (1 shared paper)
- Journals
- FEBS Journal (2 papers)Child s Nervous System (1 paper)Mathematics and Computers in Simulation (1 paper)Nature Communications (1 paper)Immunity (1 paper)
- Partner nations
- IndiaUnited StatesSweden
In The Last Decade
Suruchi Singh
18 papers receiving 386 citations
Peers
Comparison fields: 5 of 74
- Infectious Diseases 242
- Modeling and Simulation 24
- Cancer Research 56
- Animal Science and Zoology 32
- Immunology 57
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 | 206 | |
| 2 | 2005 | 33 | |
| 3 | 2007 | 30 | |
| 4 | 2021 | 20 | |
| 5 | 2021 | 20 | |
| 6 | 2015 | 16 | |
| 7 | 2015 | 16 | |
| 8 | 2022 | 15 | |
| 9 | 2023 | 8 | |
| 10 | 2018 | 8 | |
| 11 | 2021 | 5 | |
| 12 | 2006 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2024 | 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 | 2024 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2021 | 1 |
About Suruchi Singh
Suruchi Singh is a scholar working on Infectious Diseases, Molecular Biology, Genetics, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 394 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Enzyme Structure and Function (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Metabolism and Genetic Disorders (2 papers), Breast Cancer Treatment Studies (2 papers), Bacterial Genetics and Biotechnology (2 papers), Breast Implant and Reconstruction (2 papers) and Breast Lesions and Carcinomas (2 papers). The work is most often cited by research in Infectious Diseases (242 citations), Modeling and Simulation (24 citations), Cancer Research (56 citations), Animal Science and Zoology (32 citations) and Immunology (57 citations). Suruchi Singh has collaborated with scholars based in India, United States and Sweden. Frequent co-authors include Marie Pancera, Andrew T. McGuire, Rakesh Jalali, Michael Boeckh, Helen Y. Chu, Leonidas Stamatatos, Anna J. MacCamy, Kristen W. Cohen, Ashwini Budrukkar and Andrew B. Stuart. Their work appears in journals such as FEBS Journal, Child s Nervous System, Mathematics and Computers in Simulation, Nature Communications and Immunity.
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.