Arvind Rajpal
Impact in
-
- Monoclonal and Polyclonal Antibodies Research
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
-
- Monoclonal and Polyclonal Antibodies Research 40
- Immunology 22
- T-cell and B-cell Immunology 10
- Immune Cell Function and Interaction 7
- Co-authors
- Jaume PonsPavel StropPaul J. CarterYasmina AbdicheKevin C. LindquistPurnima SundarJacob GlanvilleWenwu Zhai
- Journals
- mAbs (6 papers)Analytical Chemistry (5 papers)Bioconjugate Chemistry (4 papers)Journal of Biological Chemistry (4 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Arvind Rajpal
52 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Radiology, Nuclear Medicine and Imaging 1.4k
- Immunology 874
- Molecular Biology 1.5k
- Oncology 590
- Biotechnology 124
Countries citing papers authored by Arvind Rajpal
This map shows the geographic impact of Arvind Rajpal'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 Arvind Rajpal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind Rajpal more than expected).
Fields of papers citing papers by Arvind Rajpal
This network shows the impact of papers produced by Arvind Rajpal. 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 Arvind Rajpal. The network helps show where Arvind Rajpal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arvind Rajpal, 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 | 3 | |
| 3 | Designing antibodies as therapeutics Hit paper breakdown → | 2022 | 138 |
| 4 | 2021 | 11 | |
| 5 | 2021 | 14 | |
| 6 | 2021 | 18 | |
| 7 | 2020 | 11 | |
| 8 | 2020 | 13 | |
| 9 | 2020 | 6 | |
| 10 | 2019 | 30 | |
| 11 | 2019 | 14 | |
| 12 | 2017 | 42 | |
| 13 | 2016 | 78 | |
| 14 | 2016 | 162 | |
| 15 | 2014 | 83 | |
| 16 | 2014 | 50 | |
| 17 | 2013 | 27 | |
| 18 | 2012 | 66 | |
| 19 | 2012 | 24 | |
| 20 | 2011 | 90 |
About Arvind Rajpal
Arvind Rajpal is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Structural Biology, Oncology and Molecular Biology, having authored 55 papers that have together received 2.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (40 papers), Protein purification and stability (14 papers), Glycosylation and Glycoproteins Research (10 papers), T-cell and B-cell Immunology (10 papers), HER2/EGFR in Cancer Research (9 papers), Immune Cell Function and Interaction (7 papers), CAR-T cell therapy research (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.4k citations), Immunology (874 citations), Molecular Biology (1.5k citations), Oncology (590 citations) and Biotechnology (124 citations). Arvind Rajpal has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Jaume Pons, Pavel Strop, Paul J. Carter, Yasmina Abdiche, Kevin C. Lindquist, Purnima Sundar, Jacob Glanville, Wenwu Zhai, Davide Foletti and Irene Ni. Their work appears in journals such as mAbs, Analytical Chemistry, Bioconjugate Chemistry, Journal of Biological Chemistry and Proceedings of the National Academy of Sciences.
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.