Abhinav P. Acharya
- Immunology top 10%
- Immunotherapy and Immune Responses 16
- Immune Cell Function and Interaction 7
- Immune cells in cancer 6
- T-cell and B-cell Immunology 5
- Biomaterials top 10%
- Transplantation top 10%
- Inorganic Chemistry top 10%
- Metal-Organic Frameworks: Synthesis and Applications 4
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- RNA Interference and Gene Delivery 5
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- Cell Adhesion Molecules Research 5
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Benjamin G. KeselowskySahil InamdarMichael Clare‐SalzlerNatalia V. DolgovaSteven R. LittleStephen C. BalmertSe‐woon ChoeBrian S. Sorg
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Communications (2 papers)Biomaterials (9 papers)
- Partner nations
- United StatesItalyIndonesia
In The Last Decade
Abhinav P. Acharya
54 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 110
- Immunology 374
- Biomaterials 168
- Transplantation 33
- Biological Psychiatry 25
- Inorganic Chemistry 136
Countries citing papers authored by Abhinav P. Acharya
This map shows the geographic impact of Abhinav P. Acharya'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 Abhinav P. Acharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhinav P. Acharya more than expected).
Fields of papers citing papers by Abhinav P. Acharya
This network shows the impact of papers produced by Abhinav P. Acharya. 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 Abhinav P. Acharya. The network helps show where Abhinav P. Acharya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Abhinav P. Acharya, 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 | 2025 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 30 | |
| 7 | 2023 | 14 | |
| 8 | 2022 | 17 | |
| 9 | 2022 | 14 | |
| 10 | 2022 | 33 | |
| 11 | 2020 | 46 | |
| 12 | 2019 | 30 | |
| 13 | 2019 | 26 | |
| 14 | 2018 | 42 | |
| 15 | 2017 | 44 | |
| 16 | 2014 | 98 | |
| 17 | 2013 | 23 | |
| 18 | 2011 | 33 | |
| 19 | 2009 | 49 | |
| 20 | 2008 | 66 |
About Abhinav P. Acharya
Abhinav P. Acharya is a scholar working on Immunology, Immunology and Allergy and Transplantation, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (16 papers), Immune Cell Function and Interaction (7 papers), Immune cells in cancer (6 papers), RNA Interference and Gene Delivery (5 papers), Cell Adhesion Molecules Research (5 papers), T-cell and B-cell Immunology (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Metal-Organic Frameworks: Synthesis and Applications (4 papers). The work is most often cited by research in Immunology (374 citations), Biomaterials (168 citations) and Transplantation (33 citations). Abhinav P. Acharya has collaborated with scholars based in United States, Italy and Indonesia. Frequent co-authors include Benjamin G. Keselowsky, Sahil Inamdar, Michael Clare‐Salzler, Natalia V. Dolgova, Steven R. Little, Stephen C. Balmert, Se‐woon Choe, Brian S. Sorg, Jamal S. Lewis and Riccardo Gottardi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Biomaterials.
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.