Ankur Dhanik
Impact in
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- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
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- vaccines and immunoinformatics approaches 5
- Protein Structure and Dynamics 3
- Oncology 7
- CAR-T cell therapy research 4
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Lydia E. Kavraki (5 shared papers)John S. McMurray (5 shared papers)Jean‐Claude Latombe (2 shared papers)Henry van den Bedem (2 shared papers)Ashley M. Deacon (1 shared paper)Wen Zhang (3 shared papers)Gavin Thurston (4 shared papers)Namita T. Gupta (2 shared papers)
- Journals
- Scientific Reports (1 paper)BMC Bioinformatics (1 paper)Science Advances (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesSingaporeIndia
In The Last Decade
Ankur Dhanik
16 papers receiving 363 citations
Peers
Comparison fields: 5 of 84
- Immunology 103
- Structural Biology 6
- Molecular Biology 255
- Oncology 70
- Computational Theory and Mathematics 39
Countries citing papers authored by Ankur Dhanik
This map shows the geographic impact of Ankur Dhanik'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 Ankur Dhanik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankur Dhanik more than expected).
Fields of papers citing papers by Ankur Dhanik
This network shows the impact of papers produced by Ankur Dhanik. 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 Ankur Dhanik. The network helps show where Ankur Dhanik may publish in the future.
Co-authors
The 25 scholars most cited alongside Ankur Dhanik, 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 | 2009 | 88 | |
| 2 | 2021 | 69 | |
| 3 | 2013 | 41 | |
| 4 | 2015 | 36 | |
| 5 | 2008 | 35 | |
| 6 | 2012 | 26 | |
| 7 | 2005 | 22 | |
| 8 | 2020 | 17 | |
| 9 | 2016 | 13 | |
| 10 | 2012 | 7 | |
| 11 | 2020 | 6 | |
| 12 | 2004 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2011 | 3 | |
| 16 | 2024 | 1 |
About Ankur Dhanik
Ankur Dhanik is a scholar working on Molecular Biology, Oncology, Immunology, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 374 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (5 papers), Computational Drug Discovery Methods (4 papers), CAR-T cell therapy research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Immunotherapy and Immune Responses (3 papers), Protein Structure and Dynamics (3 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Immunology (103 citations), Structural Biology (6 citations), Molecular Biology (255 citations), Oncology (70 citations) and Computational Theory and Mathematics (39 citations). Ankur Dhanik has collaborated with scholars based in United States, Singapore and India. Frequent co-authors include Lydia E. Kavraki, John S. McMurray, Jean‐Claude Latombe, Henry van den Bedem, Ashley M. Deacon, Wen Zhang, Gavin Thurston, Namita T. Gupta, Lynn E. Macdonald and Myles Dillon. Their work appears in journals such as Scientific Reports, BMC Bioinformatics, Science Advances, IEEE/ACM Transactions on Computational Biology and Bioinformatics and The 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.