Arun Kannan

46 total papers · 1.5k total citations
25 papers, 1.1k citations indexed

About

Arun Kannan is a scholar working on Immunology, Oncology and Physiology. According to data from OpenAlex, Arun Kannan has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Immunology, 7 papers in Oncology and 5 papers in Physiology. Recurrent topics in Arun Kannan's work include T-cell and B-cell Immunology (14 papers), Immune Cell Function and Interaction (11 papers) and Psoriasis: Treatment and Pathogenesis (6 papers). Arun Kannan is often cited by papers focused on T-cell and B-cell Immunology (14 papers), Immune Cell Function and Interaction (11 papers) and Psoriasis: Treatment and Pathogenesis (6 papers). Arun Kannan collaborates with scholars based in United States, Canada and Germany. Arun Kannan's co-authors include Jason D. Fontenot, Alexander Y. Rudensky, Xiying Fan, Yongqiang Feng, Takatoshi Chinen, Georg Gasteiger, Ye Zheng, Ulf Klein, Andrew G. Levine and Avery August and has published in prestigious journals such as New England Journal of Medicine, Journal of Neuroscience and Blood.

In The Last Decade

Arun Kannan

24 papers receiving 1.1k citations

Hit Papers

An essential role for the... 2016 2026 2019 2022 2016 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Arun Kannan 799 236 153 113 81 25 1.1k
Félix A. Montero‐Julian 537 0.7× 296 1.3× 227 1.5× 171 1.5× 57 0.7× 27 938
Florinda Battaglia 587 0.7× 191 0.8× 246 1.6× 93 0.8× 71 0.9× 24 1.1k
Carsten Alt 576 0.7× 203 0.9× 178 1.2× 146 1.3× 52 0.6× 25 1.2k
Julien Giron‐Michel 709 0.9× 298 1.3× 245 1.6× 132 1.2× 38 0.5× 40 1.2k
L A Turka 1.1k 1.3× 170 0.7× 219 1.4× 49 0.4× 111 1.4× 20 1.4k
AH Dalloul 533 0.7× 145 0.6× 236 1.5× 76 0.7× 35 0.4× 24 913
Barbara Metzler 655 0.8× 136 0.6× 208 1.4× 95 0.8× 82 1.0× 19 975
Paola Bernabei 584 0.7× 421 1.8× 256 1.7× 81 0.7× 59 0.7× 28 1.1k
Stéphane Chappaz 720 0.9× 160 0.7× 283 1.8× 78 0.7× 40 0.5× 24 1.1k
María Ángeles García-López 545 0.7× 233 1.0× 253 1.7× 67 0.6× 87 1.1× 20 1.0k

Countries citing papers authored by Arun Kannan

Since Specialization
Citations

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

Fields of papers citing papers by Arun Kannan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arun Kannan. 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 Arun Kannan. The network helps show where Arun Kannan may publish in the future.

Co-authorship network of co-authors of Arun Kannan

This figure shows the co-authorship network connecting the top 25 collaborators of Arun Kannan. A scholar is included among the top collaborators of Arun Kannan 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 Arun Kannan. Arun Kannan 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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