Ajinkya Patil

42 total papers · 1.2k total citations
22 papers, 392 citations indexed

About

Ajinkya Patil is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Ajinkya Patil has authored 22 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Immunology. Recurrent topics in Ajinkya Patil's work include Viral-associated cancers and disorders (3 papers), Lymphoma Diagnosis and Treatment (2 papers) and Plant Genetic and Mutation Studies (2 papers). Ajinkya Patil is often cited by papers focused on Viral-associated cancers and disorders (3 papers), Lymphoma Diagnosis and Treatment (2 papers) and Plant Genetic and Mutation Studies (2 papers). Ajinkya Patil collaborates with scholars based in India, United States and Canada. Ajinkya Patil's co-authors include Eva Gottwein, Mark Manzano, Mei Yuk Choi, Stephen J. Elledge, Timothy D. Martin, Anthony C. Liang, Mamie Z. Li, Kevin M. Haigis, Danielle Cook and Amir Behdad and has published in prestigious journals such as Science, Cell and Nature Communications.

In The Last Decade

Ajinkya Patil

21 papers receiving 380 citations

Author Peers

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

Author Last Decade Papers Cites
Ajinkya Patil 214 108 72 36 30 22 392
Chengxiang Wu 158 0.7× 64 0.6× 73 1.0× 23 0.6× 30 1.0× 25 386
Ghasem Vahedi 144 0.7× 84 0.8× 78 1.1× 30 0.8× 12 0.4× 25 436
Yumei Fu 199 0.9× 87 0.8× 73 1.0× 23 0.6× 17 0.6× 25 382
Qiming Chen 191 0.9× 79 0.7× 81 1.1× 22 0.6× 9 0.3× 31 432
Zheng Qiu 212 1.0× 133 1.2× 70 1.0× 15 0.4× 37 1.2× 21 429
Hisanori Machida 155 0.7× 113 1.0× 69 1.0× 34 0.9× 47 1.6× 42 388
Ming-Hui Fan 197 0.9× 82 0.8× 85 1.2× 25 0.7× 20 0.7× 13 416
Zhenling Ma 160 0.7× 126 1.2× 117 1.6× 54 1.5× 11 0.4× 22 373
Yi Hu 124 0.6× 79 0.7× 84 1.2× 19 0.5× 9 0.3× 32 346
Masahiro Nishimura 179 0.8× 45 0.4× 54 0.8× 13 0.4× 20 0.7× 31 398

Countries citing papers authored by Ajinkya Patil

Since Specialization
Citations

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

Fields of papers citing papers by Ajinkya Patil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajinkya Patil

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