Arjun S. Nanda

20 total papers · 1.7k total citations
9 papers, 604 citations indexed

About

Arjun S. Nanda is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Arjun S. Nanda has authored 9 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cancer Research and 2 papers in Cell Biology. Recurrent topics in Arjun S. Nanda's work include Cancer Genomics and Diagnostics (3 papers), CRISPR and Genetic Engineering (3 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Arjun S. Nanda is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), CRISPR and Genetic Engineering (3 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Arjun S. Nanda collaborates with scholars based in United States, United Kingdom and Portugal. Arjun S. Nanda's co-authors include Sandro Morganella, Xueqing Zou, Serena Nik‐Zainal, Andrea Degasperi, Stephen P. Jackson, Rebecca Harris, David H. Phillips, Eszter Nagy, Jill E. Kucab and Volker M. Arlt and has published in prestigious journals such as Cell, Nature Genetics and Biochemical Journal.

In The Last Decade

Arjun S. Nanda

8 papers receiving 601 citations

Hit Papers

A Compendium of Mutationa... 2019 2026 2021 2023 2019 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Arjun S. Nanda 334 331 133 98 80 9 604
Angela Hadjipanayis 367 1.1× 252 0.8× 156 1.2× 70 0.7× 39 0.5× 14 595
Travis Drucker 193 0.6× 134 0.4× 122 0.9× 98 1.0× 44 0.6× 10 520
Dimitra Repana 435 1.3× 163 0.5× 62 0.5× 98 1.0× 34 0.4× 11 664
Ann C. Burgess 312 0.9× 126 0.4× 239 1.8× 157 1.6× 68 0.8× 15 595
Anne Dumay 324 1.0× 146 0.4× 79 0.6× 225 2.3× 33 0.4× 17 556
Claire Lesca 588 1.8× 121 0.4× 73 0.5× 198 2.0× 60 0.8× 10 653
Cathal J. McElgunn 343 1.0× 120 0.4× 220 1.7× 92 0.9× 124 1.6× 9 599
Drew L. Murphy 527 1.6× 142 0.4× 56 0.4× 109 1.1× 109 1.4× 11 613
Christopher Alder 295 0.9× 312 0.9× 62 0.5× 255 2.6× 93 1.2× 13 647
Chikako Tanabe 349 1.0× 94 0.3× 88 0.7× 83 0.8× 36 0.5× 9 513

Countries citing papers authored by Arjun S. Nanda

Since Specialization
Citations

This map shows the geographic impact of Arjun S. Nanda'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 Arjun S. Nanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arjun S. Nanda more than expected).

Fields of papers citing papers by Arjun S. Nanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arjun S. Nanda. 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 Arjun S. Nanda. The network helps show where Arjun S. Nanda may publish in the future.

Co-authorship network of co-authors of Arjun S. Nanda

This figure shows the co-authorship network connecting the top 25 collaborators of Arjun S. Nanda. A scholar is included among the top collaborators of Arjun S. Nanda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arjun S. Nanda. Arjun S. Nanda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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