Anusha Nathan

849 total citations · 1 hit paper
9 papers, 301 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 301 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), vaccines and immunoinformatics approaches (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Anusha Nathan is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), vaccines and immunoinformatics approaches (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Anusha Nathan collaborates with scholars based in United States, India and South Africa. Anusha Nathan's co-authors include A. John Iafrate, Vivek Naranbhai, Ashok Khatri, Gaurav D. Gaiha, Fernando Senjobe, Rhoda Tano-Menka, Wilfredo F. García-Beltrán, Clarety Kaseke, Bruce D. Walker and Mary Carrington and has published in prestigious journals such as Cell, Frontiers in Immunology and Biomolecules.

In The Last Decade

Anusha Nathan

7 papers receiving 296 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

T cell reactivity to the SARS-CoV-2 Omicron variant is preserved in most but not all individuals

2022 157 citations Vivek Naranbhai, Anusha Nathan et al. Cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Anusha Nathan United States	7	199	133	75	37	27	9	301
Flavia Giannessi Italy	5	142 0.7×	101 0.8×	79 1.1×	15 0.4×	24 0.9×	6	231
Jasmin Quandt Germany	7	104 0.5×	100 0.8×	148 2.0×	72 1.9×	22 0.8×	9	300
Adam Weinheimer United States	4	162 0.8×	157 1.2×	83 1.1×	29 0.8×	27 1.0×	5	262
Tongcui Ma United States	11	176 0.9×	165 1.2×	117 1.6×	27 0.7×	31 1.1×	16	399
Meryem S. Ercanoglu Germany	8	102 0.5×	127 1.0×	97 1.3×	75 2.0×	29 1.1×	12	315
Ryutaro Kotaki Japan	9	108 0.5×	90 0.7×	103 1.4×	29 0.8×	31 1.1×	19	264
Michael C. McGee United States	8	151 0.8×	148 1.1×	75 1.0×	39 1.1×	3 0.1×	11	347
Michael Ameismeier Germany	7	408 2.1×	471 3.5×	131 1.7×	55 1.5×	20 0.7×	7	830
Trung Tran Norway	7	86 0.4×	68 0.5×	38 0.5×	27 0.7×	4 0.1×	14	175
Zepeng Xu China	10	190 1.0×	75 0.6×	44 0.6×	23 0.6×	4 0.1×	16	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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9 of 9 papers shown

1.

Wohlwend, Jeremy, Anusha Nathan, Charles R. Crain, et al.. (2025). Deep learning enhances the prediction of HLA class I-presented CD8+ T cell epitopes in foreign pathogens. Nature Machine Intelligence. 7(2). 232–243. 6 indexed citations

2.

Hauser, Blake M., Yuyang Luo, Anusha Nathan, et al.. (2024). Structure-based network analysis predicts pathogenic variants in human proteins associated with inherited retinal disease. npj Genomic Medicine. 9(1). 31–31.

3.

Bricio-Moreno, Laura, Kathryn M. Hastie, Sara Landeras-Bueno, et al.. (2024). Identification of mouse CD4+ T cell epitopes in SARS-CoV-2 BA.1 spike and nucleocapsid for use in peptide:MHCII tetramers. Frontiers in Immunology. 15. 1329846–1329846.

4.

Naranbhai, Vivek, Anusha Nathan, Clarety Kaseke, et al.. (2022). T cell reactivity to the SARS-CoV-2 Omicron variant is preserved in most but not all individuals. Cell. 185(6). 1041–1051.e6. 157 indexed citations breakdown →

5.

Nathan, Anusha, Elizabeth J. Rossin, Clarety Kaseke, et al.. (2021). Structure-guided T cell vaccine design for SARS-CoV-2 variants and sarbecoviruses. Cell. 184(17). 4401–4413.e10. 53 indexed citations

6.

Nam, Arin, Atish Mohanty, S. Bhattacharya, et al.. (2021). Dynamic Phenotypic Switching and Group Behavior Help Non-Small Cell Lung Cancer Cells Evade Chemotherapy. Biomolecules. 12(1). 8–8. 13 indexed citations

7.

Mohanty, Atish, Arin Nam, Alexander Pozhitkov, et al.. (2020). A Non-genetic Mechanism Involving the Integrin β4/Paxillin Axis Contributes to Chemoresistance in Lung Cancer. iScience. 23(9). 101496–101496. 32 indexed citations

8.

Mirzapoiazova, Tamara, Haiqing Li, Anusha Nathan, et al.. (2019). Monitoring and Determining Mitochondrial Network Parameters in Live Lung Cancer Cells. Journal of Clinical Medicine. 8(10). 1723–1723. 7 indexed citations

9.

Wallet, Pierre, Lu Yang, Chongkai Wang, et al.. (2019). Phenotypic Switching of Naïve T Cells to Immune-Suppressive Treg-Like Cells by Mutant KRAS. Journal of Clinical Medicine. 8(10). 1726–1726. 33 indexed citations

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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