Amit Singh
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Immunology 12
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 3
- Immune Response and Inflammation 3
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- RNA Research and Splicing 3
- Co-authors
- Scott C. Brown (4 shared papers)Parvesh Sharma (3 shared papers)Brij M. Moudgil (2 shared papers)Megan A. Hahn (2 shared papers)Ranjan Sen (10 shared papers)Luigi Ferrucci (2 shared papers)Shepherd H. Schurman (2 shared papers)Arsun Bektas (2 shared papers)
- Journals
- Frontiers in Immunology (2 papers)The Journal of Rheumatology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Science Advances (2 papers)Analytical and Bioanalytical Chemistry (1 paper)
- Partner nations
- IndiaUnited StatesSwitzerland
In The Last Decade
Amit Singh
39 papers receiving 938 citations
Peers
Comparison fields: 5 of 136
- Biomaterials 178
- Immunology 158
- Biomedical Engineering 320
- Aging 9
- Biological Psychiatry 12
Countries citing papers authored by Amit Singh
This map shows the geographic impact of Amit 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 Amit Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Singh more than expected).
Fields of papers citing papers by Amit Singh
This network shows the impact of papers produced by Amit 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 Amit Singh. The network helps show where Amit Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Amit 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 364 | |
| 2 | 2019 | 83 | |
| 3 | 2011 | 77 | |
| 4 | 2023 | 72 | |
| 5 | 2021 | 42 | |
| 6 | 2010 | 31 | |
| 7 | 2018 | 27 | |
| 8 | 2010 | 26 | |
| 9 | 2020 | 25 | |
| 10 | 2012 | 22 | |
| 11 | 2019 | 19 | |
| 12 | 2015 | 19 | |
| 13 | 2019 | 16 | |
| 14 | 2023 | 14 | |
| 15 | 2020 | 14 | |
| 16 | 2010 | 11 | |
| 17 | 2013 | 10 | |
| 18 | 2025 | 10 | |
| 19 | 2022 | 8 | |
| 20 | 2023 | 7 |
About Amit Singh
Amit Singh is a scholar working on Immunology, Molecular Biology, Plant Science, General Agricultural and Biological Sciences and Genetics, having authored 43 papers that have together received 948 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Agricultural Economics and Practices (6 papers), Nanoplatforms for cancer theranostics (4 papers), Agricultural Science and Fertilization (4 papers), RNA Research and Splicing (3 papers), T-cell and B-cell Immunology (3 papers), Immune Response and Inflammation (3 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Biomaterials (178 citations), Immunology (158 citations), Biomedical Engineering (320 citations), Aging (9 citations) and Biological Psychiatry (12 citations). Amit Singh has collaborated with scholars based in India, United States and Switzerland. Frequent co-authors include Scott C. Brown, Parvesh Sharma, Brij M. Moudgil, Megan A. Hahn, Ranjan Sen, Luigi Ferrucci, Shepherd H. Schurman, Arsun Bektas, Amita Aggarwal and Ramnath Misra. Their work appears in journals such as Frontiers in Immunology, The Journal of Rheumatology, Proceedings of the National Academy of Sciences, Science Advances and Analytical and Bioanalytical Chemistry.
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.