Arvind Varsani

29.7k total citations · 9 hit papers
381 papers, 15.4k citations indexed

About

Arvind Varsani is a scholar working on Plant Science, Animal Science and Zoology and Endocrinology. According to data from OpenAlex, Arvind Varsani has authored 381 papers receiving a total of 15.4k indexed citations (citations by other indexed papers that have themselves been cited), including 274 papers in Plant Science, 126 papers in Animal Science and Zoology and 114 papers in Endocrinology. Recurrent topics in Arvind Varsani's work include Plant Virus Research Studies (267 papers), Animal Virus Infections Studies (126 papers) and Plant and Fungal Interactions Research (113 papers). Arvind Varsani is often cited by papers focused on Plant Virus Research Studies (267 papers), Animal Virus Infections Studies (126 papers) and Plant and Fungal Interactions Research (113 papers). Arvind Varsani collaborates with scholars based in South Africa, United States and New Zealand. Arvind Varsani's co-authors include Darren P. Martin, Brejnev Muhire, F. Murilo Zerbini, Mart Krupovìč, Simona Kraberger, Philippe Roumagnac, Pierre Lefeuvre, Andrew M. Kropinski, Jesús Navas‐Castillo and Edward P. Rybicki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Arvind Varsani

363 papers receiving 15.2k citations

Hit Papers

SDT: A Virus Classificati... 2014 2026 2018 2022 2014 2021 2015 2017 2017 400 800 1.2k
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.

  1. SDT: A Virus Classification Tool Based on Pairwise Sequence Alignment and Identity Calculation
    2014 1.2k citations Arvind Varsani, Darren P. Martin et al. profile →
  2. VirSorter2: a multi-classifier, expert-guided approach to detect diverse DNA and RNA viruses
    2021 682 citations Arvind Varsani, Matthew B. Sullivan et al. profile →
  3. Revision of Begomovirus taxonomy based on pairwise sequence comparisons
    2015 504 citations Judith K. Brown, F. Murilo Zerbini et al. Archives of Virology profile →
  4. Changes to taxonomy and the International Code of Virus Classification and Nomenclature ratified by the International Committee on Taxonomy of Viruses (2017)
    2017 496 citations Elliot J. Lefkowitz, Balázs Harrach et al. Archives of Virology profile →
  5. ICTV Virus Taxonomy Profile: Geminiviridae
    2017 488 citations F. Murilo Zerbini, R. W. Briddon et al. profile →
  6. VIRIDIC—A Novel Tool to Calculate the Intergenomic Similarities of Prokaryote-Infecting Viruses
    2020 479 citations Arvind Varsani, Andrew M. Kropinski et al. Viruses profile →
  7. Global Organization and Proposed Megataxonomy of the Virus World
    2020 381 citations Mart Krupovìč, Arvind Varsani et al. profile →
  8. RDP5: a computer program for analyzing recombination in, and removing signals of recombination from, nucleotide sequence datasets
    2020 338 citations Darren P. Martin, Arvind Varsani et al. profile →
  9. Revisiting the taxonomy of the family Circoviridae: establishment of the genus Cyclovirus and removal of the genus Gyrovirus
    2017 300 citations Mya Breitbart, Balázs Harrach et al. Archives of Virology profile →

Author Peers

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

Author Last Decade Papers Cites
Arvind Varsani 10.0k 3.8k 3.7k 3.7k 2.7k 381 15.4k
Darren P. Martin 11.4k 1.1× 4.2k 1.1× 3.1k 0.8× 1.5k 0.4× 3.2k 1.2× 245 17.5k
Mart Krupovìč 4.8k 0.5× 1.9k 0.5× 1.1k 0.3× 7.4k 2.0× 2.1k 0.8× 255 11.9k
Mya Breitbart 4.1k 0.4× 1.4k 0.4× 2.0k 0.5× 9.4k 2.6× 3.1k 1.2× 148 14.3k
Sergey Nurk 4.6k 0.5× 2.6k 0.7× 449 0.1× 6.9k 1.9× 2.6k 1.0× 13 22.6k
Frank Pasmans 1.5k 0.2× 1.2k 0.3× 3.3k 0.9× 1.8k 0.5× 3.4k 1.3× 444 15.0k
Andrey D. Prjibelski 4.6k 0.5× 2.8k 0.7× 412 0.1× 6.4k 1.8× 2.6k 1.0× 25 22.5k
Mǎng Shī 2.0k 0.2× 809 0.2× 2.5k 0.7× 1.0k 0.3× 5.6k 2.1× 166 9.8k
Nikolay Vyahhi 5.2k 0.5× 3.2k 0.8× 384 0.1× 7.0k 1.9× 2.8k 1.0× 7 24.8k
Max A. Alekseyev 4.1k 0.4× 2.5k 0.7× 359 0.1× 5.7k 1.5× 2.3k 0.9× 35 19.9k
Alexander Sirotkin 3.8k 0.4× 2.5k 0.7× 360 0.1× 5.5k 1.5× 2.3k 0.9× 22 19.1k

Countries citing papers authored by Arvind Varsani

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Varsani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arvind Varsani

This figure shows the co-authorship network connecting the top 25 collaborators of Arvind Varsani. A scholar is included among the top collaborators of Arvind Varsani 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 Arvind Varsani. Arvind Varsani 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.
Kraberger, Simona, et al.. (2025). Characterization, phylogeny and prevalence of the coding-complete genomes of aviadenoviruses and siadenovirus in young racing pigeons. Virology. 603. 110400–110400. 2 indexed citations
2.
Kraberger, Simona, et al.. (2024). Two Lineages of Papillomaviruses Identified from Caracals (Caracal caracal) in South Africa. Viruses. 16(5). 701–701. 1 indexed citations
3.
Lett, Jean‐Michel, et al.. (2024). Movement of the A-strain maize streak virus in and out of Madagascar. Virology. 600. 110222–110222. 2 indexed citations
4.
Morandini, Virginia, Katie M. Dugger, Annie E. Schmidt, et al.. (2024). Sex‐specific recruitment rates contribute to male‐biased sex ratio in Adélie penguins. Ecology and Evolution. 14(2). e10859–e10859. 3 indexed citations
5.
Faleye, Temitope O. C., et al.. (2022). Surveillance of rhinovirus diversity among a university community identifies multiple types from all three species including an unassigned rhinovirus A genotype. Influenza and Other Respiratory Viruses. 17(1). e13057–e13057. 2 indexed citations
6.
Varsani, Arvind, et al.. (2022). Viral Aggregation: The Knowns and Unknowns. Viruses. 14(2). 438–438. 24 indexed citations
7.
Fischhoff, Ilya R., Adrian A. Castellanos, João Rodrigues, Arvind Varsani, & Barbara A. Han. (2021). Predicting the zoonotic capacity of mammals to transmit SARS-CoV-2. Proceedings of the Royal Society B Biological Sciences. 288(1963). 20211651–20211651. 47 indexed citations
8.
Dutilh, Bas E., Arvind Varsani, Yigang Tong, et al.. (2021). Perspective on taxonomic classification of uncultivated viruses. Current Opinion in Virology. 51. 207–215. 35 indexed citations
9.
Schmidlin, Kara, et al.. (2021). Circular DNA viruses identified in short-finned pilot whale and orca tissue samples. Virology. 559. 156–164. 6 indexed citations
10.
Yaron, Jordan R., Sriram Ambadapadi, Scott A. Tibbetts, et al.. (2020). Immune protection is dependent on the gut microbiome in a lethal mouse gammaherpesviral infection. Scientific Reports. 10(1). 2371–2371. 18 indexed citations
11.
Nasr, Imen Hamdi, et al.. (2019). First report of barley yellow dwarf virus in maize in Tunisia. Journal of Plant Pathology. 102(1). 227–227. 3 indexed citations
12.
Siddell, Stuart G., Peter J. Walker, Elliot J. Lefkowitz, et al.. (2019). Binomial nomenclature for virus species: a consultation. Archives of Virology. 165(2). 519–525. 45 indexed citations
13.
Alcock, Joe, et al.. (2019). Kombucha: a novel model system for cooperation and conflict in a complex multi-species microbial ecosystem. PeerJ. 7. e7565–e7565. 122 indexed citations
14.
Morandini, Virginia, Katie M. Dugger, Grant Ballard, et al.. (2019). Identification of a Novel Adélie Penguin Circovirus at Cape Crozier (Ross Island, Antarctica). Viruses. 11(12). 1088–1088. 17 indexed citations
15.
Nasr, Imen Hamdi, et al.. (2017). Barley yellow dwarf virus in barley crops in Tunisia: Prevalence and molecular characterization. Phytopathologia Mediterranea. 56(1). 111–118. 5 indexed citations
16.
Brown, Judith K., F. Murilo Zerbini, Jesús Navas‐Castillo, et al.. (2015). Revision of Begomovirus taxonomy based on pairwise sequence comparisons. Archives of Virology. 160(6). 1593–1619. 504 indexed citations breakdown →
17.
McFarlane, S. A., Patrick Govender, M. J. Way, et al.. (2014). Report on maize streak virus in the South African sugar industry. International sugar journal. 116(1385). 348–354. 1 indexed citations
18.
Pang, Liping, Kata Farkas, G BENNETT, et al.. (2014). Mimicking Retention and Transport of Rotavirus and Adenovirus in Sand Media Using DNA-labeled, Protein-coated Silica Nanoparticles. EGUGA. 3213. 2 indexed citations
19.
20.
Monjane, Adérito L., Eric van der Walt, Arvind Varsani, Edward P. Rybicki, & Darren P. Martin. (2011). Recombination hotspots and host susceptibility modulate the adaptive value of recombination during maize streak virus evolution. SHILAP Revista de lepidopterología. 13 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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