Anusha Nathan
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%
- COVID-19 epidemiological studies
Papers in
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- vaccines and immunoinformatics approaches 3
- Mitochondrial Function and Pathology 1
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- Immunotherapy and Immune Responses 5
- T-cell and B-cell Immunology 1
- Co-authors
- Gaurav D. Gaiha (6 shared papers)Rhoda Tano-Menka (3 shared papers)Ashok Khatri (3 shared papers)Wilfredo F. García-Beltrán (2 shared papers)Fernando Senjobe (2 shared papers)A. John Iafrate (2 shared papers)Bruce D. Walker (2 shared papers)Mary Carrington (2 shared papers)
- Journals
- Cell (2 papers)Journal of Clinical Medicine (2 papers)Nature Biomedical Engineering (1 paper)npj Genomic Medicine (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- United StatesIndiaSouth Africa
In The Last Decade
Anusha Nathan
10 papers receiving 311 citations
Anusha Nathan's Hit Papers
Peers
Comparison fields: 5 of 48
- Infectious Diseases 201
- Modeling and Simulation 20
- Immunology 72
- Molecular Biology 130
- Cancer Research 24
Countries citing papers authored by Anusha Nathan
This map shows the geographic impact of Anusha Nathan'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 Anusha Nathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anusha Nathan more than expected).
Fields of papers citing papers by Anusha Nathan
This network shows the impact of papers produced by Anusha Nathan. 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 Anusha Nathan. The network helps show where Anusha Nathan may publish in the future.
Co-authors
The 25 scholars most cited alongside Anusha Nathan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | T cell reactivity to the SARS-CoV-2 Omicron variant is preserved in most but not all individuals Hit paper breakdown → | 2022 | 161 |
| 2 | 2021 | 58 | |
| 3 | 2019 | 33 | |
| 4 | 2020 | 32 | |
| 5 | 2021 | 15 | |
| 6 | 2025 | 7 | |
| 7 | 2019 | 7 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2020 | 1 | |
| 11 | 2026 | 0 |
About Anusha Nathan
Anusha Nathan is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Genetics and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 316 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), vaccines and immunoinformatics approaches (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Genomics and Rare Diseases (1 paper), Prostate Cancer Treatment and Research (1 paper), Mathematical Biology Tumor Growth (1 paper), Mitochondrial Function and Pathology (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Infectious Diseases (201 citations), Modeling and Simulation (20 citations), Immunology (72 citations), Molecular Biology (130 citations) and Cancer Research (24 citations). Anusha Nathan has collaborated with scholars based in United States, India and South Africa. Frequent co-authors include Gaurav D. Gaiha, Rhoda Tano-Menka, Ashok Khatri, Wilfredo F. García-Beltrán, Fernando Senjobe, A. John Iafrate, Bruce D. Walker, Mary Carrington, Vivek Naranbhai and Clarety Kaseke. Their work appears in journals such as Cell, Journal of Clinical Medicine, Nature Biomedical Engineering, npj Genomic Medicine and Frontiers in Immunology.
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.