Smita K. Nair

198 total papers · 11.6k total citations
124 papers, 9.4k citations indexed

About

Smita K. Nair is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Smita K. Nair has authored 124 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Immunology, 62 papers in Molecular Biology and 33 papers in Oncology. Recurrent topics in Smita K. Nair's work include Immunotherapy and Immune Responses (92 papers), RNA Interference and Gene Delivery (50 papers) and T-cell and B-cell Immunology (26 papers). Smita K. Nair is often cited by papers focused on Immunotherapy and Immune Responses (92 papers), RNA Interference and Gene Delivery (50 papers) and T-cell and B-cell Immunology (26 papers). Smita K. Nair collaborates with scholars based in United States, India and Singapore. Smita K. Nair's co-authors include Eli Gilboa, David Boczkowski, H. Kim Lyerly, David J. Snyder, Bruce A. Sullenger, Barry T. Rouse, Duane A. Mitchell, Darell D. Bigner, Michael A. Morse and Johannes Vieweg and has published in prestigious journals such as Nature, Science and Journal of Clinical Investigation.

In The Last Decade

Smita K. Nair

119 papers receiving 9.1k citations

Hit Papers

Dendritic cells pulsed wi... 1996 2026 2006 2016 1996 2015 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Smita K. Nair 6.7k 4.4k 3.7k 1.2k 629 124 9.4k
Willem W. Overwijk 7.1k 1.1× 2.7k 0.6× 4.9k 1.3× 931 0.8× 429 0.7× 111 9.5k
Kris Thielemans 9.3k 1.4× 4.8k 1.1× 4.1k 1.1× 1.3k 1.1× 716 1.1× 209 12.4k
Cassian Yee 7.6k 1.1× 2.8k 0.6× 6.4k 1.7× 1.1k 1.0× 626 1.0× 156 11.5k
Giulio C. Spagnoli 5.1k 0.8× 3.2k 0.7× 3.7k 1.0× 519 0.4× 508 0.8× 231 9.4k
Antonella Stoppacciaro 4.7k 0.7× 4.3k 1.0× 2.9k 0.8× 971 0.8× 611 1.0× 160 10.8k
Hideaki Tahara 5.0k 0.8× 3.6k 0.8× 3.5k 0.9× 1.9k 1.6× 582 0.9× 172 9.0k
Thomas Blankenstein 6.6k 1.0× 2.8k 0.6× 5.3k 1.4× 1.6k 1.4× 513 0.8× 208 10.6k
Catia Traversari 8.3k 1.2× 5.5k 1.2× 5.5k 1.5× 2.2k 1.9× 734 1.2× 109 12.7k
Chrystal M. Paulos 5.5k 0.8× 2.3k 0.5× 5.3k 1.5× 1.0k 0.9× 412 0.7× 128 9.1k
Carlo Heirman 4.7k 0.7× 3.1k 0.7× 2.2k 0.6× 932 0.8× 365 0.6× 118 6.7k

Countries citing papers authored by Smita K. Nair

Since Specialization
Citations

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

Fields of papers citing papers by Smita K. Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Smita K. Nair

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