Arvind Rajpal

5.8k citations
59 papers · 2.8k · 1 hit paper · h-index 29

Impact in

Papers in

Arvind Rajpal

55 papers receiving 2.7k citations

Arvind Rajpal's Hit Papers

Designing antibodies as therapeutics 2022 · 152 citations
1520+1+2Years since publication50100150

Peers

Arvind Rajpal
Comparison fields: 5 of 109
  • Radiology, Nuclear Medicine and Imaging 1.4k
  • Immunology 835
  • Oncology 582
  • Molecular Biology 1.5k
  • Biotechnology 124
Replace Guy Georges with:
Guy Georges Germany
Nils Lönberg United States
William F. Dall’Acqua United States
Changshou Gao United States
James N. Arnold United Kingdom
Peter Sondermann Germany
Jefferson Foote United States
Aaron K. Sato United States
Marianna Nuti Italy
Susan L. Deutscher United States
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Citations per field
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Citations per year

Countries citing papers authored by Arvind Rajpal

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Arvind Rajpal Line = papers co-authored together Arvind Rajpal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009343
2 2016163
3 2015157
4
Designing antibodies as therapeutics
Hit paper breakdown →
2022152
5 2012137
6 2011136
7 2005114
8 2012112
9 2003108
10 201191
11 199988
12 201485
13 201382
14 201680
15 201171
16 201266
17 201357
18 201350
19 201450
20 201746

About Arvind Rajpal

Arvind Rajpal is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Immunology, Oncology and Biomedical Engineering, having authored 59 papers that have together received 2.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (42 papers), Protein purification and stability (16 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), Cancer Immunotherapy and Biomarkers (5 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.4k citations), Immunology (835 citations), Oncology (582 citations), Molecular Biology (1.5k 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, Jack F. Kirsch, Kevin C. Lindquist, Purnima Sundar, Jacob Glanville, Davide Foletti and Wenwu Zhai. Their work appears in journals such as mAbs, Analytical Chemistry, Bioconjugate Chemistry, Protein Science 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.

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