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.
Emerging geminivirus problems: A serious threat to crop production
2003567 citationsAnupam Varma, V. G. Malathiprofile →
Revision of Begomovirus taxonomy based on pairwise sequence comparisons
2015504 citationsJudith K. Brown, F. Murilo Zerbini et al.Archives of Virologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of V. G. Malathi'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 V. G. Malathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. G. Malathi more than expected).
This network shows the impact of papers produced by V. G. Malathi. 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 V. G. Malathi. The network helps show where V. G. Malathi may publish in the future.
Co-authorship network of co-authors of V. G. Malathi
This figure shows the co-authorship network connecting the top 25 collaborators of V. G. Malathi.
A scholar is included among the top collaborators of V. G. Malathi 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 V. G. Malathi. V. G. Malathi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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 →
11.
Biswas, Kajal Kumar, Anuradha Tarafdar, Anuj Kumar, Harsh Kumar Dikshit, & V. G. Malathi. (2009). Multiple infection in urdbean (Vigna mungo) in natural condition by begomovirus, tospovirus and urdbean leaf crinkle virus complex. Indian Phytopathology. 62(1). 75–82.13 indexed citations
12.
Malathi, V. G., et al.. (2008). Morphological and molecular differentiations among the green lacewings collected from cotton field in Delhi. Journal of Entomological Research. 32(4). 291–294.2 indexed citations
13.
Malathi, V. G., et al.. (2008). Infectivity of blackgram isolate of Mungbean yellow mosaic India virus on cowpea.. Indian Journal of Virology. 19(2). 191–195.1 indexed citations
Baliji, Surendranath, et al.. (2004). Yellow mosaic virus infecting soybean in northern India is distinct from the species infecting soybean in southern and western India. Current Science. 86(6). 845–850.61 indexed citations
16.
Kang, Soon-Suk, et al.. (2004). Quick detection of Cotton leaf curl virus. Indian Phytopathology. 57(2). 245–246.4 indexed citations
17.
Radhakrishnan, Girish, V. G. Malathi, & Ashok K. Varma. (2004). Detection of DNA A and DNA β associated with cotton leaf curl and some other plant diseases caused by whitefly transmitted geminiviruses. Indian Phytopathology. 57(1). 53–60.8 indexed citations
Mandal, Bikash, Anupam Varma, & V. G. Malathi. (1998). Some biological and genomic properties of pigeonpea isolate of mungbean yellow mosaic geminivirus. Indian Phytopathology. 51(2). 121–129.2 indexed citations
20.
Scher, Nancy S., et al.. (1976). Cyclic adenosine 3':5'-monophosphate phosphodiesterase activity in normal and chronic lymphocytic leukemia lymphocytes.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 36(11 Pt 1). 3958–62.8 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.