Santiswarup Singha
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
- Immunology 11
- Immunotherapy and Immune Responses 8
- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 6
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- Protein Structure and Dynamics 2
- Co-authors
- Pere Santamaría (11 shared papers)Yang Yang (9 shared papers)Kun Shao (4 shared papers)Xavier Clemente‐Casares (2 shared papers)Sue Tsai (2 shared papers)Jun Yamanouchi (7 shared papers)Pau Serra (7 shared papers)Jesús Blanco (3 shared papers)
In The Last Decade
Santiswarup Singha
19 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 94
- Immunology 709
- Biomaterials 190
- Pharmaceutical Science 57
- Hepatology 55
- Biomedical Engineering 328
Countries citing papers authored by Santiswarup Singha
This map shows the geographic impact of Santiswarup Singha'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 Santiswarup Singha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Santiswarup Singha more than expected).
Fields of papers citing papers by Santiswarup Singha
This network shows the impact of papers produced by Santiswarup Singha. 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 Santiswarup Singha. The network helps show where Santiswarup Singha may publish in the future.
Co-authors
The 25 scholars most cited alongside Santiswarup Singha, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 416 | |
| 2 | 2016 | 415 | |
| 3 | 2018 | 98 | |
| 4 | 2019 | 85 | |
| 5 | 2018 | 49 | |
| 6 | 2020 | 37 | |
| 7 | Nanoparticle-conjugated animal venom-toxins and their possible therapeutic potential. | 2012 | 34 |
| 8 | 2008 | 30 | |
| 9 | 2019 | 29 | |
| 10 | 2023 | 26 | |
| 11 | 2021 | 21 | |
| 12 | 2019 | 20 | |
| 13 | 2010 | 16 | |
| 14 | 2022 | 13 | |
| 15 | 2021 | 10 | |
| 16 | 2005 | 4 | |
| 17 | 2011 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2014 | 1 | |
| 20 | 2025 | 0 |
About Santiswarup Singha
Santiswarup Singha is a scholar working on Immunology, Molecular Biology, Oncology, Biomaterials and Genetics, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers), Nanoparticle-Based Drug Delivery (3 papers), Diabetes and associated disorders (2 papers), Protein Structure and Dynamics (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology (709 citations), Biomaterials (190 citations), Pharmaceutical Science (57 citations), Hepatology (55 citations) and Biomedical Engineering (328 citations). Santiswarup Singha has collaborated with scholars based in Canada, Spain and India. Frequent co-authors include Pere Santamaría, Yang Yang, Kun Shao, Xavier Clemente‐Casares, Sue Tsai, Jun Yamanouchi, Pau Serra, Jesús Blanco, Nahir Garabatos and César Fandos. Their work appears in journals such as Nature Communications, Journal of Nanoscience and Nanotechnology, ACS Nano, Nanomedicine Nanotechnology Biology and Medicine and European Journal of 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.