Rashmi Nair

79 total papers · 746 total citations
37 papers, 513 citations indexed

About

Rashmi Nair is a scholar working on Surgery, Oncology and Hepatology. According to data from OpenAlex, Rashmi Nair has authored 37 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 11 papers in Oncology and 5 papers in Hepatology. Recurrent topics in Rashmi Nair's work include Cancer Immunotherapy and Biomarkers (5 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Peptidase Inhibition and Analysis (4 papers). Rashmi Nair is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Peptidase Inhibition and Analysis (4 papers). Rashmi Nair collaborates with scholars based in United States, India and Belgium. Rashmi Nair's co-authors include Eric vanSonnenberg, Sridhar Shankar, Kemal Tuncali, Stuart G. Silverman, Pottayil G. Sasikumar, Raghuveer Ramachandra, Murali Ramachandra, Dodderi S. Samiulla, Valery Vilchez and Karyn A. Esser and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Radiology.

In The Last Decade

Rashmi Nair

30 papers receiving 489 citations

Author Peers

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

Author						Papers	Cites
Rashmi Nair	196	118	116	109	91	37	513
Wei Xie	174 0.9×	91 0.8×	48 0.4×	79 0.7×	141 1.5×	49	618
Jota Watanabe	133 0.7×	92 0.8×	59 0.5×	68 0.6×	63 0.7×	35	482
Yan‐Fang Xing	212 1.1×	125 1.1×	60 0.5×	166 1.5×	160 1.8×	32	536
K Hatakeyama	146 0.7×	92 0.8×	141 1.2×	46 0.4×	87 1.0×	29	538
Tomonari Shimagaki	118 0.6×	165 1.4×	109 0.9×	49 0.4×	109 1.2×	47	450
Clemens Friedrich Hess	176 0.9×	106 0.9×	146 1.3×	51 0.5×	69 0.8×	29	616
Alfonso Amore	184 0.9×	90 0.8×	64 0.6×	27 0.2×	91 1.0×	38	579
Kazuo Yoneyama	93 0.5×	113 1.0×	193 1.7×	40 0.4×	99 1.1×	43	581
Ketan Sheth	144 0.7×	62 0.5×	79 0.7×	113 1.0×	87 1.0×	21	500
Martina Taborelli	201 1.0×	45 0.4×	55 0.5×	34 0.3×	142 1.6×	39	603

Countries citing papers authored by Rashmi Nair

Since Specialization

Citations

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

Fields of papers citing papers by Rashmi Nair

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rashmi Nair

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