Arvind Rajpal

5.6k citations
55 papers · 2.7k indexed · 1 hit paper · h-index 28

Impact in

Papers in

Arvind Rajpal

52 papers receiving 2.6k citations

Hit Papers

Designing antibodies as therapeutics 2022 · 138 citations
13820222026202320244080120

Peers

Arvind Rajpal
Comparison fields: 5 of 110
  • Radiology, Nuclear Medicine and Imaging 1.4k
  • Immunology 874
  • Molecular Biology 1.5k
  • Oncology 590
  • Biotechnology 124
Replace Guy Georges with:
Guy Georges Germany
Daniel Christ Australia
Patrik Forrer Switzerland
Susan L. Deutscher United States
Jefferson Foote United States
George O. Lovrecz Australia
Jagath R. Junutula United States
Thierry Chardès France
Lucy F. Pemberton United States
Aaron K. Sato United States
Arvind Rajpal relative to Guy Georges Germany Guy Georges's profile →
Citations per field
00.5×1.5×
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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-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.

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
#Work
1 20250
2 20233
3
Designing antibodies as therapeutics
Hit paper breakdown →
2022138
4 202111
5 202114
6 202118
7 202011
8 202013
9 20206
10 201930
11 201914
12 201742
13 201678
14 2016162
15 201483
16 201450
17 201327
18 201266
19 201224
20 201190

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.

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