Vidhya R. Nair

26 total papers · 1.2k total citations
13 papers, 715 citations indexed

About

Vidhya R. Nair is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Vidhya R. Nair has authored 13 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Epidemiology and 5 papers in Immunology. Recurrent topics in Vidhya R. Nair's work include Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (4 papers) and Neonatal Health and Biochemistry (2 papers). Vidhya R. Nair is often cited by papers focused on Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (4 papers) and Neonatal Health and Biochemistry (2 papers). Vidhya R. Nair collaborates with scholars based in United States, Brazil and Japan. Vidhya R. Nair's co-authors include Michael U. Shiloh, Luis H. Franco, Caitlyn R. Scharn, Beth Levine, Chelsea E. Stamm, Angela C. Collins, José Torrealba, Ramnik J. Xavier, Zhijian J. Chen and Tuo Li and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Cell Host & Microbe.

In The Last Decade

Vidhya R. Nair

12 papers receiving 711 citations

Author Peers

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

Author Last Decade Papers Cites
Vidhya R. Nair 315 305 292 284 43 13 715
Andrea Casagrande 403 1.3× 296 1.0× 318 1.1× 266 0.9× 35 0.8× 13 891
Eusondia Arnett 300 1.0× 243 0.8× 303 1.0× 248 0.9× 49 1.1× 25 816
Chelsea E. Stamm 302 1.0× 225 0.7× 310 1.1× 236 0.8× 56 1.3× 9 646
Lihua Qiang 159 0.5× 222 0.7× 210 0.7× 341 1.2× 44 1.0× 17 624
Pupu Ge 178 0.6× 283 0.9× 326 1.1× 302 1.1× 59 1.4× 18 696
Martin A. Bewley 279 0.9× 220 0.7× 125 0.4× 260 0.9× 38 0.9× 14 742
Antoine Tanne 395 1.3× 263 0.9× 264 0.9× 318 1.1× 54 1.3× 15 816
Christophe J. Queval 157 0.5× 385 1.3× 331 1.1× 215 0.8× 58 1.3× 19 729
Dong-Min Shin 273 0.9× 372 1.2× 271 0.9× 190 0.7× 61 1.4× 7 770
Ulrich E. Schaible 224 0.7× 240 0.8× 259 0.9× 135 0.5× 56 1.3× 13 662

Countries citing papers authored by Vidhya R. Nair

Since Specialization
Citations

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

Fields of papers citing papers by Vidhya R. Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vidhya R. Nair

This figure shows the co-authorship network connecting the top 25 collaborators of Vidhya R. Nair. A scholar is included among the top collaborators of Vidhya R. 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 Vidhya R. Nair. Vidhya R. 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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2026