Pratima Singh
Impact in
-
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- interferon and immune responses
Papers in ⓘ
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- COVID-19 Clinical Research Studies 4
- Tuberculosis Research and Epidemiology 3
- Co-authors
- Roberto Patarca (3 shared papers)Joel Schwartz (1 shared paper)Harvey Cantor (2 shared papers)R. P. Singh (1 shared paper)Ellen Murphy (1 shared paper)Gordon J. Freeman (1 shared paper)María I. Morasso (1 shared paper)Wei Fang (1 shared paper)
- Journals
- Microbial Pathogenesis (1 paper)Cancer (1 paper)Nature Communications (1 paper)Transactions of the ASABE (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Pratima Singh
29 papers receiving 422 citations
Peers
Comparison fields: 5 of 94
- Immunology 104
- Virology 21
- Rheumatology 59
- Molecular Biology 220
- Genetics 61
Countries citing papers authored by Pratima Singh
This map shows the geographic impact of Pratima 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 Pratima Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pratima Singh more than expected).
Fields of papers citing papers by Pratima Singh
This network shows the impact of papers produced by Pratima 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 Pratima Singh. The network helps show where Pratima Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Pratima 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 139 | |
| 2 | 1990 | 66 | |
| 3 | 2021 | 45 | |
| 4 | 2003 | 31 | |
| 5 | 2003 | 26 | |
| 6 | 2021 | 16 | |
| 7 | 2022 | 16 | |
| 8 | 2019 | 15 | |
| 9 | 2018 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2024 | 7 | |
| 12 | 2021 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 6 | |
| 15 | Indoor environmental quality & student health and performance: A conceptual review | 2013 | 5 |
| 16 | 2006 | 5 | |
| 17 | 2018 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 1990 | 3 | |
| 20 | 2001 | 3 |
About Pratima Singh
Pratima Singh is a scholar working on Infectious Diseases, Dermatology, Pulmonary and Respiratory Medicine, Physiology and Complementary and alternative medicine, having authored 40 papers that have together received 434 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), Sarcoidosis and Beryllium Toxicity Research (4 papers), Systemic Sclerosis and Related Diseases (4 papers), COVID-19 Clinical Research Studies (4 papers), Diagnosis and treatment of tuberculosis (3 papers), Tuberculosis Research and Epidemiology (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology (104 citations), Virology (21 citations), Rheumatology (59 citations), Molecular Biology (220 citations) and Genetics (61 citations). Pratima Singh has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Roberto Patarca, Joel Schwartz, Harvey Cantor, R. P. Singh, Ellen Murphy, Gordon J. Freeman, María I. Morasso, Wei Fang, Prasanta Padhan and Curtis A. Parvin. Their work appears in journals such as Microbial Pathogenesis, Cancer, Nature Communications, Transactions of the ASABE and The Journal of Experimental Medicine.
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.