Darshankumar T. Pathak

509 citations
9 papers · 412 · h-index 8

Impact in

    • Vibrio bacteria research studies
  • Genetics top 10%
    • Bacterial Genetics and Biotechnology
    • Evolution and Genetic Dynamics

Papers in

    • Bacterial biofilms and quorum sensing 7
    • Genomics and Phylogenetic Studies 1
    • Bacterial Genetics and Biotechnology 4
    • Evolution and Genetic Dynamics 1

Darshankumar T. Pathak

9 papers receiving 412 citations

Peers

Darshankumar T. Pathak
Comparison fields: 5 of 46
  • Endocrinology 142
  • Genetics 201
  • Microbiology 29
  • Ecology 126
  • Molecular Biology 249
Replace Pengbo Cao with:
Pengbo Cao United States
Christine Kaimer Germany
Wesley P. Black United States
Mark Burkart United States
Jingbo Kan United States
Imke G. de Jong Netherlands
Brian J. Cantwell United States
Randy M. Morgenstein United States
Anupama Khare United States
Shira Omer Bendori Israel
Darshankumar T. Pathak relative to Pengbo Cao United States Pengbo Cao's profile →
Citations per field
00.5×2.7×
Pengbo Cao · 1×
Citations per year

Countries citing papers authored by Darshankumar T. Pathak

Since Specialization
Citations

This map shows the geographic impact of Darshankumar T. Pathak'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 Darshankumar T. Pathak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darshankumar T. Pathak more than expected).

Fields of papers citing papers by Darshankumar T. Pathak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darshankumar T. Pathak. 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 Darshankumar T. Pathak. The network helps show where Darshankumar T. Pathak may publish in the future.

Co-authors

The 8 scholars most cited alongside Darshankumar T. Pathak, 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 Darshankumar T. Pathak Line = papers co-authored together Darshankumar T. Pathak links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201295
2 201369
3 201150
4 201547
5 201444
6 201641
7 201233
8 201231
9 20202

About Darshankumar T. Pathak

Darshankumar T. Pathak is a scholar working on Molecular Biology, Genetics, Endocrinology, Ecology and Sociology and Political Science, having authored 9 papers that have together received 412 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (7 papers), Vibrio bacteria research studies (5 papers), Bacterial Genetics and Biotechnology (4 papers), Genomics and Phylogenetic Studies (1 paper), Evolution and Genetic Dynamics (1 paper), Bacterial Infections and Vaccines (1 paper), Microbial Community Ecology and Physiology (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Endocrinology (142 citations), Genetics (201 citations), Microbiology (29 citations), Ecology (126 citations) and Molecular Biology (249 citations). Darshankumar T. Pathak has collaborated with scholars based in United States. Frequent co-authors include Daniel Wall, Xueming Wei, Christopher N. Vassallo, Daniel H. Haft, Dietlind L. Gerloff, David M. Zuckerman, Egbert Hoiczyk and Pengbo Cao. Their work appears in journals such as Journal of Bacteriology, PLoS Genetics, Proceedings of the National Academy of Sciences, Research in Microbiology and Microbiology.

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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