Venkatesh Kumar

1.3k total citations · 1 hit paper
7 papers, 487 citations indexed

About

Venkatesh Kumar is a scholar working on Molecular Biology, Ecology and Infectious Diseases. According to data from OpenAlex, Venkatesh Kumar has authored 7 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Ecology and 1 paper in Infectious Diseases. Recurrent topics in Venkatesh Kumar's work include Genomics and Phylogenetic Studies (4 papers), Bacteriophages and microbial interactions (2 papers) and RNA and protein synthesis mechanisms (2 papers). Venkatesh Kumar is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Bacteriophages and microbial interactions (2 papers) and RNA and protein synthesis mechanisms (2 papers). Venkatesh Kumar collaborates with scholars based in United States, Sweden and South Africa. Venkatesh Kumar's co-authors include Ben Murrell, Darren P. Martin, Arvind Varsani, Gerrit Botha, Philippe Roumagnac, Suresh Maslamoney, Mohsen Imani, Tajana Rosing, Zhuowen Zou and Sahand Salamat and has published in prestigious journals such as Nucleic Acids Research, PLoS Computational Biology and Virus Evolution.

In The Last Decade

Venkatesh Kumar

7 papers receiving 482 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.

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. Virus Evolution profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Venkatesh Kumar United States	5	169	154	126	88	72	7	487
Pejman Naraghi‐Arani United States	11	168 1.0×	151 1.0×	48 0.4×	133 1.5×	25 0.3×	19	584
Bishnupriya Bhattacharya United Kingdom	13	353 2.1×	76 0.5×	28 0.2×	108 1.2×	28 0.4×	20	749
Gerrit Botha South Africa	11	179 1.1×	145 0.9×	116 0.9×	178 2.0×	2 0.0×	22	664
Xinyuan Qiao China	15	304 1.8×	13 0.1×	264 2.1×	100 1.1×	12 0.2×	36	557
Ailie Robinson United Kingdom	12	43 0.3×	58 0.4×	28 0.2×	40 0.5×	11 0.2×	13	535
Olga Mangana Greece	14	185 1.1×	78 0.5×	15 0.1×	71 0.8×	17 0.2×	16	474
Motoki Goto Japan	6	160 0.9×	204 1.3×	47 0.4×	483 5.5×	11 0.2×	9	942
V. V. S. Suryanarayana India	15	145 0.9×	21 0.1×	99 0.8×	174 2.0×	6 0.1×	69	610
Ottavio Portanti Italy	17	384 2.3×	129 0.8×	53 0.4×	102 1.2×	8 0.1×	42	709

Countries citing papers authored by Venkatesh Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Venkatesh Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Venkatesh Kumar

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

All Works

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7 of 7 papers shown

1.

Lytras, Spyros, Oscar A. MacLean, David L. Robertson, et al.. (2022). Conserved recombination patterns across coronavirus subgenera. Virus Evolution. 8(2). veac054–veac054. 22 indexed citations

2.

Imani, Mohsen, Zhuowen Zou, Sahand Salamat, et al.. (2021). Revisiting HyperDimensional Learning for FPGA and Low-Power Architectures. 221–234. 64 indexed citations

3.

Martin, Darren P., Arvind Varsani, Philippe Roumagnac, et al.. (2020). RDP5: a computer program for analyzing recombination in, and removing signals of recombination from, nucleotide sequence datasets. Virus Evolution. 7(1). veaa087–veaa087. 338 indexed citations breakdown →

4.

Kumar, Venkatesh, Thomas Vollbrecht, Sanjay Mohan, et al.. (2019). Long-read amplicon denoising. Nucleic Acids Research. 47(18). e104–e104. 20 indexed citations

5.

Gupta, Saransh, Mohsen Imani, Behnam Khaleghi, Venkatesh Kumar, & Tajana Rosing. (2019). RAPID: A ReRAM Processing in-Memory Architecture for DNA Sequence Alignment. 1–6. 40 indexed citations

6.

Eren, Kemal, Steven Weaver, Melissa Smith, et al.. (2018). Full-Length Envelope Analyzer (FLEA): A tool for longitudinal analysis of viral amplicons. PLoS Computational Biology. 14(12). e1006498–e1006498. 2 indexed citations

7.

Kumar, Venkatesh & Ashwini Kumar. (2012). Construction of Appropriate Benchmark Index for Mutual Funds: Specific Reference to Tax Saver Funds. 2(1). 74–90. 1 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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