Arunava Roy

981 total citations
27 papers, 711 citations indexed

About

Arunava Roy is a scholar working on Epidemiology, Oncology and Immunology. According to data from OpenAlex, Arunava Roy has authored 27 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 9 papers in Oncology and 9 papers in Immunology. Recurrent topics in Arunava Roy's work include Viral-associated cancers and disorders (9 papers), Cytomegalovirus and herpesvirus research (6 papers) and Virology and Viral Diseases (4 papers). Arunava Roy is often cited by papers focused on Viral-associated cancers and disorders (9 papers), Cytomegalovirus and herpesvirus research (6 papers) and Virology and Viral Diseases (4 papers). Arunava Roy collaborates with scholars based in United States, India and Germany. Arunava Roy's co-authors include Bala Chandran, Binod Kumar, Dipanjan Dutta, Mairaj Ahmed Ansari, Mohanan Valiya Veettil, Dhrubajyoti Chattopadhyay, Jawed Iqbal, Chikoti Leela, Sujoy Dutta and Vivek Vikram Singh and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Journal of Virology.

In The Last Decade

Arunava Roy

25 papers receiving 705 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arunava Roy United States 14 315 284 231 148 98 27 711
Matthew F. Barber United States 9 417 1.3× 153 0.5× 279 1.2× 116 0.8× 54 0.6× 15 961
Florian Altenberend Germany 11 395 1.3× 353 1.2× 324 1.4× 113 0.8× 66 0.7× 13 881
Saé Muñiz‐Hernández Mexico 14 214 0.7× 232 0.8× 118 0.5× 182 1.2× 84 0.9× 31 731
Lei Wei United States 16 400 1.3× 128 0.5× 299 1.3× 65 0.4× 167 1.7× 32 858
Atsuko Sugimoto Japan 17 290 0.9× 203 0.7× 318 1.4× 481 3.3× 158 1.6× 25 942
Linden J. Gearing Australia 17 466 1.5× 379 1.3× 96 0.4× 136 0.9× 118 1.2× 31 935
Huifang M. Zhang Canada 19 441 1.4× 195 0.7× 130 0.6× 74 0.5× 95 1.0× 27 826
Takuro Yoshimura Japan 10 409 1.3× 297 1.0× 211 0.9× 121 0.8× 184 1.9× 42 1.0k
Laura Timares United States 18 333 1.1× 388 1.4× 113 0.5× 191 1.3× 73 0.7× 27 944
Lynn Abbott United States 15 274 0.9× 161 0.6× 128 0.6× 226 1.5× 147 1.5× 33 723

Countries citing papers authored by Arunava Roy

Since Specialization
Citations

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

Fields of papers citing papers by Arunava Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arunava Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Arunava Roy. A scholar is included among the top collaborators of Arunava Roy 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 Arunava Roy. Arunava Roy 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
3.
Roy, Arunava, et al.. (2024). Epigenetic Restriction Factors (eRFs) in Virus Infection. Viruses. 16(2). 183–183. 3 indexed citations
4.
Mayilsamy, Karthick, Sayan Das, Amit Kumar Das, et al.. (2022). Targeting an evolutionarily conserved “E-L-L” motif in spike protein to identify a small molecule fusion inhibitor against SARS-CoV-2. PNAS Nexus. 1(5). pgac198–pgac198. 13 indexed citations
5.
Mayilsamy, Karthick, Marc A. Giulianotti, Shyam S. Mohapatra, et al.. (2022). Identification of SARS-CoV-2 Spike Palmitoylation Inhibitors That Results in Release of Attenuated Virus with Reduced Infectivity. Viruses. 14(3). 531–531. 32 indexed citations
6.
Veettil, Mohanan Valiya, Arunava Roy, Dipanjan Dutta, et al.. (2020). Kaposi’s Sarcoma-Associated Herpesvirus Infection Induces the Expression of Neuroendocrine Genes in Endothelial Cells. Journal of Virology. 94(8). 13 indexed citations
7.
Kumar, Binod, Mohanan Valiya Veettil, Arunava Roy, & Bala Chandran. (2019). Proximity Ligation Assay (PLA) to Determine the Endosomal Localization of ESCRT Subunit in Virus-Infected Cells. Methods in molecular biology. 1998. 63–72. 3 indexed citations
8.
Roy, Arunava, et al.. (2017). Interferon-γ-inducible protein 16 (IFI16) is required for the maintenance of Epstein-Barr virus latency. Virology Journal. 14(1). 221–221. 36 indexed citations
9.
Kumar, Binod, Dipanjan Dutta, Jawed Iqbal, et al.. (2016). ESCRT-I Protein Tsg101 Plays a Role in the Post-macropinocytic Trafficking and Infection of Endothelial Cells by Kaposi’s Sarcoma-Associated Herpesvirus. PLoS Pathogens. 12(10). e1005960–e1005960. 32 indexed citations
10.
Iqbal, Jawed, Mairaj Ahmed Ansari, Binod Kumar, et al.. (2016). Histone H2B-IFI16 Recognition of Nuclear Herpesviral Genome Induces Cytoplasmic Interferon-β Responses. PLoS Pathogens. 12(10). e1005967–e1005967. 48 indexed citations
11.
Ghosh, Sourish, Sriparna Mukherjee, Nabonita Sengupta, et al.. (2016). Network analysis reveals common host protein/s modulating pathogenesis of neurotropic viruses. Scientific Reports. 6(1). 32593–32593. 13 indexed citations
12.
Ansari, Mairaj Ahmed, Sujoy Dutta, Mohanan Valiya Veettil, et al.. (2015). Herpesvirus Genome Recognition Induced Acetylation of Nuclear IFI16 Is Essential for Its Cytoplasmic Translocation, Inflammasome and IFN-β Responses. PLoS Pathogens. 11(7). e1005019–e1005019. 108 indexed citations
13.
Chakraborty, Arpita, Amit Bera, Arghya Mukherjee, et al.. (2015). Changing bacterial profile of Sundarbans, the world heritage mangrove: Impact of anthropogenic interventions. World Journal of Microbiology and Biotechnology. 31(4). 593–610. 31 indexed citations
14.
Naskar, Debdut, et al.. (2014). Wnt5a–Rac1–NF-κB Homeostatic Circuitry Sustains Innate Immune Functions in Macrophages. The Journal of Immunology. 192(9). 4386–4397. 58 indexed citations
15.
Basak, Pijush, Sudip Nag, Anish Bhattacharyya, et al.. (2014). Spatiotemporal Analysis of Bacterial Diversity in Sediments of Sundarbans Using Parallel 16S rRNA Gene Tag Sequencing. Microbial Ecology. 69(3). 500–511. 62 indexed citations
16.
Roy, Arunava, Prasenjit Chakraborty, Smarajit Polley, Dhrubajyoti Chattopadhyay, & Siddhartha Roy. (2013). A peptide targeted against phosphoprotein and leader RNA interaction inhibits growth of Chandipura virus – An emerging rhabdovirus. Antiviral Research. 100(2). 346–355. 8 indexed citations
17.
19.
Roy, Arunava, et al.. (2010). Arg235 is an essential catalytic residue of Bacillus pumilus DKS1 pectate lyase to degum ramie fibre. Biodegradation. 22(1). 153–161. 21 indexed citations
20.
Mukhopadhyay, Subhradip, Arunava Roy, Dhrubajyoti Chattopadhyay, et al.. (2009). Characterization of the structure of the phosphoprotein of Chandipura virus, a negative stranded RNA virus probing intratryptophan energy transfer using single and double tryptophan mutants. Biochimie. 92(2). 136–146. 8 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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