Nitya Nair

139 total papers · 2.1k total citations
28 papers, 1.2k citations indexed

About

Nitya Nair is a scholar working on Infectious Diseases, Biotechnology and Oncology. According to data from OpenAlex, Nitya Nair has authored 28 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 8 papers in Biotechnology and 7 papers in Oncology. Recurrent topics in Nitya Nair's work include Cancer Research and Treatments (8 papers), Animal Virus Infections Studies (6 papers) and Virology and Viral Diseases (5 papers). Nitya Nair is often cited by papers focused on Cancer Research and Treatments (8 papers), Animal Virus Infections Studies (6 papers) and Virology and Viral Diseases (5 papers). Nitya Nair collaborates with scholars based in United States, Singapore and India. Nitya Nair's co-authors include Harry B. Greenberg, Mark M. Davis, Evan W. Newell, Brian Kidd, Natalia Sigal, Nancy Lewis, Jason J. Luke, Funda Meric‐Bernstam, Diane E. Griffin and Thomas W. Dubensky and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Nature Biotechnology.

In The Last Decade

Nitya Nair

26 papers receiving 1.2k citations

Hit Papers

Phase I Dose-Escalation T... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Nitya Nair 665 377 340 260 223 28 1.2k
Frank Liang 841 1.3× 315 0.8× 495 1.5× 148 0.6× 218 1.0× 26 1.4k
Juan R. Rodríguez-Madoz 472 0.7× 585 1.6× 444 1.3× 137 0.5× 188 0.8× 44 1.3k
Patrick H. Cleveland 365 0.5× 267 0.7× 356 1.0× 118 0.5× 310 1.4× 43 1.3k
Marcio O. Lasaro 586 0.9× 345 0.9× 518 1.5× 364 1.4× 348 1.6× 31 1.4k
Erez Bar‐Haim 571 0.9× 355 0.9× 515 1.5× 293 1.1× 143 0.6× 59 1.4k
Bolyn Hubby 409 0.6× 180 0.5× 351 1.0× 188 0.7× 185 0.8× 20 940
Ulrike Gnad-Vogt 492 0.7× 276 0.7× 637 1.9× 254 1.0× 83 0.4× 28 1.0k
Bernadette Ferraro 361 0.5× 230 0.6× 458 1.3× 275 1.1× 156 0.7× 18 1.1k
Michael J. Ciancanelli 407 0.6× 317 0.8× 334 1.0× 133 0.5× 469 2.1× 13 1.2k
Moanaro Biswas 299 0.4× 176 0.5× 532 1.6× 348 1.3× 184 0.8× 51 1.3k

Countries citing papers authored by Nitya Nair

Since Specialization
Citations

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

Fields of papers citing papers by Nitya Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitya Nair

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