Karunesh Arora

73 total papers · 1.6k total citations
51 papers, 1.3k citations indexed

About

Karunesh Arora is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Karunesh Arora has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 14 papers in Artificial Intelligence and 7 papers in Genetics. Recurrent topics in Karunesh Arora's work include Natural Language Processing Techniques (14 papers), DNA and Nucleic Acid Chemistry (11 papers) and Topic Modeling (9 papers). Karunesh Arora is often cited by papers focused on Natural Language Processing Techniques (14 papers), DNA and Nucleic Acid Chemistry (11 papers) and Topic Modeling (9 papers). Karunesh Arora collaborates with scholars based in United States, India and Germany. Karunesh Arora's co-authors include Charles L. Brooks, Tamar Schlick, William A. Beard, Samuel H. Wilson, Peter L. Pedersen, Maurizio Fanciulli, Linjing Yang, Charles L. Brooks, Charles R. Filburn and Yanli Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Karunesh Arora

50 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Karunesh Arora 987 253 150 94 91 51 1.3k
Xin‐Qiu Yao 1.2k 1.2× 220 0.9× 140 0.9× 86 0.9× 60 0.7× 47 1.6k
Jens Kleinjung 1.3k 1.3× 161 0.6× 173 1.2× 44 0.5× 59 0.6× 40 1.6k
Julie C. Mitchell 1.2k 1.2× 297 1.2× 63 0.4× 66 0.7× 39 0.4× 55 1.7k
Lars Skjærven 1.1k 1.2× 280 1.1× 103 0.7× 98 1.0× 53 0.6× 33 1.5k
Herbert L. Axelrod 1.2k 1.2× 317 1.3× 83 0.6× 56 0.6× 199 2.2× 42 1.6k
Setsuko Nakagawa 513 0.5× 127 0.5× 96 0.6× 131 1.4× 165 1.8× 81 1.1k
David Sehnal 1.1k 1.2× 277 1.1× 114 0.8× 120 1.3× 38 0.4× 37 1.7k
Marharyta Petukh 1.2k 1.2× 214 0.8× 247 1.6× 75 0.8× 104 1.1× 26 1.6k
Timothy R. Lezon 1.3k 1.3× 331 1.3× 93 0.6× 139 1.5× 111 1.2× 24 1.6k
Roberto Covino 1.0k 1.0× 207 0.8× 44 0.3× 64 0.7× 141 1.5× 37 1.6k

Countries citing papers authored by Karunesh Arora

Since Specialization
Citations

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

Fields of papers citing papers by Karunesh Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karunesh Arora

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