Anusha Nathan

32 total papers · 828 total citations
9 papers, 299 citations indexed

About

Anusha Nathan is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Anusha Nathan has authored 9 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Infectious Diseases. Recurrent topics in Anusha Nathan's work include Immunotherapy and Immune Responses (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and vaccines and immunoinformatics approaches (3 papers). Anusha Nathan is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and vaccines and immunoinformatics approaches (3 papers). Anusha Nathan collaborates with scholars based in United States, India and South Africa. Anusha Nathan's co-authors include A. John Iafrate, Wilfredo F. García-Beltrán, Fernando Senjobe, Gaurav D. Gaiha, Rhoda Tano-Menka, Bruce D. Walker, Clarety Kaseke, Ashok Khatri, Mary Carrington and Vivek Naranbhai and has published in prestigious journals such as Cell, Frontiers in Immunology and Biomolecules.

In The Last Decade

Anusha Nathan

7 papers receiving 294 citations

Hit Papers

T cell reactivity to the ... 2022 2026 2023 2024 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Anusha Nathan 198 132 75 37 27 9 299
Danyi Ao 173 0.9× 127 1.0× 59 0.8× 67 1.8× 17 0.6× 9 350
Holly Legault 171 0.9× 91 0.7× 87 1.2× 28 0.8× 18 0.7× 11 332
Flavia Giannessi 142 0.7× 99 0.8× 79 1.1× 15 0.4× 24 0.9× 6 230
Hsin‐Che Huang 98 0.5× 220 1.7× 101 1.3× 48 1.3× 13 0.5× 12 351
Jasmin Quandt 104 0.5× 98 0.7× 147 2.0× 72 1.9× 21 0.8× 9 299
Réka Lőrincz 128 0.6× 112 0.8× 30 0.4× 38 1.0× 15 0.6× 8 284
Amber Cornelius 176 0.9× 86 0.7× 46 0.6× 14 0.4× 29 1.1× 15 300
Baohui Zhu 171 0.9× 135 1.0× 102 1.4× 20 0.5× 54 2.0× 6 340
Chaoqiang An 172 0.9× 100 0.8× 52 0.7× 11 0.3× 13 0.5× 14 297
Adam Weinheimer 161 0.8× 156 1.2× 83 1.1× 29 0.8× 27 1.0× 5 261

Countries citing papers authored by Anusha Nathan

Since Specialization
Citations

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

Fields of papers citing papers by Anusha Nathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anusha Nathan

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