Aparna Nathan
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
-
- Single-cell and spatial transcriptomics 14
- Gene Regulatory Network Analysis 2
- Immunology 13
- T-cell and B-cell Immunology 11
- Immune Cell Function and Interaction 7
- Immune cells in cancer 2
- Co-authors
- Soumya Raychaudhuri (21 shared papers)Ilya Korsunsky (6 shared papers)Jessica I. Beynor (4 shared papers)Fan Zhang (2 shared papers)D. Branch Moody (4 shared papers)Matthew A. Nugent (1 shared paper)Elazer R. Edelman (1 shared paper)Joseph Mears (2 shared papers)
- Journals
- Nature Communications (5 papers)Nature Genetics (3 papers)Genetics in Medicine (2 papers)Nature (2 papers)Nature Immunology (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Aparna Nathan
25 papers receiving 827 citations
Peers
Comparison fields: 5 of 108
- Immunology 324
- Biophysics 46
- Molecular Biology 425
- Infectious Diseases 84
- Cancer Research 60
Countries citing papers authored by Aparna Nathan
This map shows the geographic impact of Aparna 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 Aparna Nathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aparna Nathan more than expected).
Fields of papers citing papers by Aparna Nathan
This network shows the impact of papers produced by Aparna 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 Aparna Nathan. The network helps show where Aparna Nathan may publish in the future.
Co-authors
The 25 scholars most cited alongside Aparna 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
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 139 | |
| 2 | 2019 | 102 | |
| 3 | 2022 | 88 | |
| 4 | 2021 | 85 | |
| 5 | 1995 | 64 | |
| 6 | 2021 | 56 | |
| 7 | 2023 | 48 | |
| 8 | 2015 | 45 | |
| 9 | 2022 | 41 | |
| 10 | 2020 | 29 | |
| 11 | 2021 | 27 | |
| 12 | 2015 | 24 | |
| 13 | 2024 | 21 | |
| 14 | 2023 | 19 | |
| 15 | 2019 | 11 | |
| 16 | 2023 | 10 | |
| 17 | 2023 | 8 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2021 | 3 |
About Aparna Nathan
Aparna Nathan is a scholar working on Molecular Biology, Immunology, Genetics, Oncology and Infectious Diseases, having authored 27 papers that have together received 832 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (14 papers), T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (7 papers), CAR-T cell therapy research (3 papers), Genetic Associations and Epidemiology (3 papers), Cell Image Analysis Techniques (2 papers), Immune cells in cancer (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Immunology (324 citations), Biophysics (46 citations), Molecular Biology (425 citations), Infectious Diseases (84 citations) and Cancer Research (60 citations). Aparna Nathan has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Soumya Raychaudhuri, Ilya Korsunsky, Jessica I. Beynor, Fan Zhang, D. Branch Moody, Matthew A. Nugent, Elazer R. Edelman, Joseph Mears, Laura T. Donlin and Sara Shanaj. Their work appears in journals such as Nature Communications, Nature Genetics, Genetics in Medicine, Nature and Nature 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.