Nisha V. Kwatra

8 total papers · 1.2k total citations
5 papers, 776 citations indexed

About

Nisha V. Kwatra is a scholar working on Ophthalmology, Infectious Diseases and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nisha V. Kwatra has authored 5 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Ophthalmology, 1 paper in Infectious Diseases and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Nisha V. Kwatra's work include Ocular Diseases and Behçet’s Syndrome (2 papers), Insects and Parasite Interactions (1 paper) and Retinal Diseases and Treatments (1 paper). Nisha V. Kwatra is often cited by papers focused on Ocular Diseases and Behçet’s Syndrome (2 papers), Insects and Parasite Interactions (1 paper) and Retinal Diseases and Treatments (1 paper). Nisha V. Kwatra collaborates with scholars based in United States, Germany and France. Nisha V. Kwatra's co-authors include Anne Camez, Glenn J. Jaffe, Martina Kron, Samir Tari, Antoine P. Brézin, Alexandra Song, Andrew D. Dick, Eric B. Suhler, Jennifer E. Thorne and Pablo Franco and has published in prestigious journals such as New England Journal of Medicine, The Lancet and PLoS neglected tropical diseases.

In The Last Decade

Nisha V. Kwatra

5 papers receiving 757 citations

Hit Papers

Adalimumab in Patients wi... 2016 2026 2019 2022 2016 2016 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Nisha V. Kwatra 676 311 147 86 82 5 776
T Shimizu 576 0.9× 283 0.9× 272 1.9× 37 0.4× 90 1.1× 12 736
Abdulbaki Mudun 582 0.9× 225 0.7× 143 1.0× 38 0.4× 55 0.7× 7 644
A Linssen 629 0.9× 529 1.7× 117 0.8× 82 1.0× 85 1.0× 18 868
B. Taşcı 594 0.9× 197 0.6× 176 1.2× 53 0.6× 59 0.7× 6 751
Antonio Bañares 245 0.4× 550 1.8× 347 2.4× 56 0.7× 47 0.6× 13 802
Trudy M. Doyle 206 0.3× 122 0.4× 207 1.4× 261 3.0× 105 1.3× 14 623
Dale E. Henderly 686 1.0× 77 0.2× 79 0.5× 91 1.1× 421 5.1× 12 827
Vivien M. Tham 463 0.7× 85 0.3× 55 0.4× 45 0.5× 148 1.8× 14 635
Yoshiharu Sugamoto 674 1.0× 68 0.2× 31 0.2× 71 0.8× 202 2.5× 12 828
Emma Ross 162 0.2× 292 0.9× 29 0.2× 22 0.3× 56 0.7× 8 728

Countries citing papers authored by Nisha V. Kwatra

Since Specialization
Citations

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

Fields of papers citing papers by Nisha V. Kwatra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nisha V. Kwatra. 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 Nisha V. Kwatra. The network helps show where Nisha V. Kwatra may publish in the future.

Co-authorship network of co-authors of Nisha V. Kwatra

This figure shows the co-authorship network connecting the top 25 collaborators of Nisha V. Kwatra. A scholar is included among the top collaborators of Nisha V. Kwatra 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 Nisha V. Kwatra. Nisha V. Kwatra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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