Shailesh V. Date

2.3k citations
19 papers · 1.4k · h-index 12

Impact in

    • Bioinformatics and Genomic Networks
    • Genomics and Phylogenetic Studies
    • Microbial Metabolic Engineering and Bioproduction
    • Gene expression and cancer classification
    • Gene Regulatory Network Analysis
    • Machine Learning in Bioinformatics
  • Hepatology top 10%
    • Hepatitis C virus research

Papers in

    • Bioinformatics and Genomic Networks 7
    • Genomics and Phylogenetic Studies 5
    • Microbial Metabolic Engineering and Bioproduction 3
    • Machine Learning in Bioinformatics 3
    • Protist diversity and phylogeny 3
    • Protein Structure and Dynamics 2
    • Microbial Community Ecology and Physiology 3

Shailesh V. Date

19 papers receiving 1.3k citations

Peers

Shailesh V. Date
Comparison fields: 5 of 136
  • Molecular Biology 889
  • Hepatology 94
  • Aging 17
  • Infectious Diseases 123
  • Virology 27
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Citations per field
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Pavel Skums · 1×
Citations per year

Countries citing papers authored by Shailesh V. Date

Since Specialization
Citations

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

Fields of papers citing papers by Shailesh V. Date

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shailesh V. Date. 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 Shailesh V. Date. The network helps show where Shailesh V. Date may publish in the future.

Co-authors

The 25 scholars most cited alongside Shailesh V. Date, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shailesh V. Date Line = papers co-authored together Shailesh V. Date links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2004541
2 2003174
3 2004174
4 2013103
5 201376
6 202262
7 200849
8 201644
9 201337
10 200534
11 201617
12 200812
13 200711
14 20149
15 20239
16 20218
17 20085
18 20032
19 20192

About Shailesh V. Date

Shailesh V. Date is a scholar working on Molecular Biology, Ecology, Infectious Diseases, Parasitology and Hepatology, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Genomics and Phylogenetic Studies (5 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Machine Learning in Bioinformatics (3 papers), Protist diversity and phylogeny (3 papers), Microbial Community Ecology and Physiology (3 papers), Antimicrobial Resistance in Staphylococcus (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Molecular Biology (889 citations), Hepatology (94 citations), Aging (17 citations), Infectious Diseases (123 citations) and Virology (27 citations). Shailesh V. Date has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Edward M. Marcotte, Alex Tamas Adai, Insuk Lee, Man‐Wah Tan, Min Jian Xu, David P. Arnott, Xiaohong Cui, Summer Park, Qui T. Phung and Mark R. Schleiss. Their work appears in journals such as Science, Journal of Molecular Biology, The Journal of Infectious Diseases, mBio and Nature Biotechnology.

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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