Arinjay Banerjee

3.1k total citations · 1 hit paper
46 papers, 1.4k citations indexed

About

Arinjay Banerjee is a scholar working on Infectious Diseases, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Arinjay Banerjee has authored 46 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Infectious Diseases, 9 papers in Molecular Biology and 9 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Arinjay Banerjee's work include Viral Infections and Vectors (19 papers), SARS-CoV-2 and COVID-19 Research (17 papers) and Viral Infections and Outbreaks Research (11 papers). Arinjay Banerjee is often cited by papers focused on Viral Infections and Vectors (19 papers), SARS-CoV-2 and COVID-19 Research (17 papers) and Viral Infections and Outbreaks Research (11 papers). Arinjay Banerjee collaborates with scholars based in Canada, United States and Australia. Arinjay Banerjee's co-authors include Karen Mossman, Vikram Misra, Kirsten Kulcsar, Matthew B. Frieman, Michelle L. Baker, Raina K. Plowright, Noreen Rapin, Andrew G. McArthur, Trent K. Bollinger and Pranav Pandit and has published in prestigious journals such as Nature Communications, Trends in Ecology & Evolution and Journal of Virology.

In The Last Decade

Arinjay Banerjee

46 papers receiving 1.3k citations

Hit Papers

Bats and Coronaviruses 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arinjay Banerjee Canada 18 1.0k 222 208 171 161 46 1.4k
Kirsten Kulcsar United States 11 973 1.0× 137 0.6× 186 0.9× 112 0.7× 182 1.1× 13 1.3k
Runhong Zhou China 17 1.1k 1.1× 253 1.1× 106 0.5× 160 0.9× 255 1.6× 50 1.4k
Jiazheng Xie China 6 689 0.7× 133 0.6× 105 0.5× 214 1.3× 106 0.7× 9 926
Rebecca Rosenke United States 21 1.3k 1.3× 251 1.1× 109 0.5× 170 1.0× 139 0.9× 47 1.8k
Greg Saturday United States 22 1.4k 1.3× 162 0.7× 67 0.3× 192 1.1× 123 0.8× 62 1.8k
Naoko Iwata‐Yoshikawa Japan 18 1.6k 1.5× 329 1.5× 100 0.5× 249 1.5× 297 1.8× 36 2.0k
Zhìqiáng Wú China 20 956 0.9× 277 1.2× 92 0.4× 438 2.6× 121 0.8× 57 1.6k
Eveline Kindler Switzerland 16 970 0.9× 241 1.1× 116 0.6× 254 1.5× 263 1.6× 18 1.4k
Joseph Prescott United States 28 1.7k 1.7× 126 0.6× 221 1.1× 128 0.7× 151 0.9× 60 2.0k
Jenna E. Achenbach United States 18 727 0.7× 135 0.6× 317 1.5× 175 1.0× 170 1.1× 29 1.4k

Countries citing papers authored by Arinjay Banerjee

Since Specialization
Citations

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

Fields of papers citing papers by Arinjay Banerjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arinjay Banerjee

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

All Works

20 of 20 papers shown
1.
Becker, Daniel J., et al.. (2025). Diverse hosts, diverse immune systems: Evolutionary variation in bat immunology. Annals of the New York Academy of Sciences. 1550(1). 151–172. 3 indexed citations
2.
Das, Subham, et al.. (2025). Bat adaptations in inflammation and cell death regulation contribute to viral tolerance. mBio. 16(3). e0320423–e0320423. 3 indexed citations
3.
Yadav, Pragya D., Kaushal Baid, Deepak Y. Patil, et al.. (2025). A One Health approach to understanding and managing Nipah virus outbreaks. Nature Microbiology. 10(6). 1272–1281. 2 indexed citations
5.
Grin, Peter M., Kaushal Baid, Hugo César Ramos de Jesus, et al.. (2024). SARS-CoV-2 3CLpro (main protease) regulates caspase activation of gasdermin-D/E pores leading to secretion and extracellular activity of 3CLpro. Cell Reports. 43(12). 115080–115080. 6 indexed citations
6.
Baid, Kaushal, Aaron T. Irving, Nolwenn Jouvenet, & Arinjay Banerjee. (2024). The translational potential of studying bat immunity. Trends in Immunology. 45(3). 188–197. 7 indexed citations
7.
Dhar, Neeraj, et al.. (2023). Mycobacterium tuberculosis and SARS-CoV-2 co-infections: The knowns and unknowns. iScience. 26(5). 106629–106629. 4 indexed citations
8.
Jagoda, Evelyn, Davide Marnetto, Gayani Senevirathne, et al.. (2023). Regulatory dissection of the severe COVID-19 risk locus introgressed by Neanderthals. eLife. 12. 12 indexed citations
9.
Jacob, Rajesh Abraham, Aisha Nazli, Kaushal Baid, et al.. (2023). ASK1 inhibitors are potential pan-antiviral drugs, which dampen replication of diverse viruses including SARS-CoV2. Antiviral Research. 220. 105736–105736. 6 indexed citations
10.
Evseev, Danyel, et al.. (2022). Human coronaviruses disassemble processing bodies. PLoS Pathogens. 18(8). e1010724–e1010724. 17 indexed citations
11.
Banerjee, Arinjay, et al.. (2022). Molecular, ecological, and behavioral drivers of the bat-virus relationship. iScience. 25(8). 104779–104779. 29 indexed citations
12.
Banerjee, Arinjay, Karen Mossman, & Michelle L. Baker. (2021). Zooanthroponotic potential of SARS-CoV-2 and implications of reintroduction into human populations. Cell Host & Microbe. 29(2). 160–164. 28 indexed citations
13.
Hackenberger, Dirk, Melanie Kuch, Art Marzok, et al.. (2021). Probe design for simultaneous, targeted capture of diverse metagenomic targets. Cell Reports Methods. 1(6). 100069–100069. 9 indexed citations
14.
Banerjee, Arinjay, Karen Mossman, & Nathalie Grandvaux. (2021). Molecular Determinants of SARS-CoV-2 Variants. Trends in Microbiology. 29(10). 871–873. 24 indexed citations
15.
Banerjee, Arinjay, Andrew C. Doxey, Benjamin J.-M. Tremblay, et al.. (2020). Predicting the recombination potential of severe acute respiratory syndrome coronavirus 2 and Middle East respiratory syndrome coronavirus. Journal of General Virology. 101(12). 1251–1260. 12 indexed citations
16.
Banerjee, Arinjay, Xi Zhang, Aaron T. Irving, et al.. (2020). Positive Selection of a Serine Residue in Bat IRF3 Confers Enhanced Antiviral Protection. iScience. 23(3). 100958–100958. 32 indexed citations
17.
Maan, Hassaan, Hamza Mbareche, Amogelang R. Raphenya, et al.. (2020). Genotyping SARS-CoV-2 through an interactive web application. The Lancet Digital Health. 2(7). e340–e341. 6 indexed citations
18.
Banerjee, Arinjay, Michelle L. Baker, Kirsten Kulcsar, et al.. (2020). Novel Insights Into Immune Systems of Bats. Frontiers in Immunology. 11. 26–26. 234 indexed citations
19.
Banerjee, Arinjay, Sonu Subudhi, Noreen Rapin, et al.. (2020). Selection of viral variants during persistent infection of insectivorous bat cells with Middle East respiratory syndrome coronavirus. Scientific Reports. 10(1). 7257–7257. 21 indexed citations
20.
Banerjee, Arinjay, et al.. (2015). Controlling Nipah virus encephalitis in Bangladesh: Policy options. Journal of Public Health Policy. 36(3). 270–282. 17 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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