Amrita Nandan
- Immunology top 5%
- T-cell and B-cell Immunology 3
- Galectins and Cancer Biology 3
- Immunotherapy and Immune Responses 2
- Immune Cell Function and Interaction 2
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- RNA and protein synthesis mechanisms 2
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- Helicobacter pylori-related gastroenterology studies 3
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- Forensic and Genetic Research 1
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- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- Tim SparwasserChristian T. MayerChristina HesseLuciana BerodHeike BähreJochen HuehnCarla N. CastroAline Sandouk
- Journals
- Nature Medicine (1 paper)SHILAP Revista de lepidopterología (1 paper)Blood (1 paper)
- Partner nations
- IndiaGermanyUnited States
In The Last Decade
Amrita Nandan
11 papers receiving 941 citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Immunology 618
- Biological Psychiatry 24
- Cancer Research 144
- Oncology 155
- Molecular Biology 285
Countries citing papers authored by Amrita Nandan
This map shows the geographic impact of Amrita Nandan'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 Amrita Nandan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amrita Nandan more than expected).
Fields of papers citing papers by Amrita Nandan
This network shows the impact of papers produced by Amrita Nandan. 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 Amrita Nandan. The network helps show where Amrita Nandan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Amrita Nandan, 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 | 2025 | 0 | |
| 2 | 2023 | 5 | |
| 3 | 2019 | 8 | |
| 4 | 2017 | 20 | |
| 5 | 2014 | 154 | |
| 6 | De novo fatty acid synthesis controls the fate between regulatory T and T helper 17 cellsbreakdown → | 2014 | 700 |
| 7 | 2013 | 11 | |
| 8 | Phylogenetic analysis, based on EPIYA repeats in the cagA gene of Indian Helicobacter pylori, and the implications of sequence variation in tyrosine phosphorylation motifs on determining the clinical outcome | 2011 | 1 |
| 9 | 2011 | 8 | |
| 10 | 2010 | 13 | |
| 11 | 2009 | 6 | |
| 12 | 2009 | 20 |
About Amrita Nandan
Amrita Nandan is a scholar working on Immunology, Otorhinolaryngology and Complementary and alternative medicine, having authored 12 papers that have together received 946 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Helicobacter pylori-related gastroenterology studies (3 papers), Galectins and Cancer Biology (3 papers), Immunotherapy and Immune Responses (2 papers), Immune Cell Function and Interaction (2 papers), RNA and protein synthesis mechanisms (2 papers), Forensic and Genetic Research (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Immunology (618 citations), Biological Psychiatry (24 citations) and Cancer Research (144 citations). Amrita Nandan has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Tim Sparwasser, Christian T. Mayer, Christina Hesse, Luciana Berod, Heike Bähre, Jochen Huehn, Carla N. Castro, Aline Sandouk, Sarah K. Tschirner and Jenny Freitag. Their work appears in journals such as Nature Medicine, SHILAP Revista de lepidopterología and Blood.
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.