Vivek Jayaswal

1.0k citations
27 papers · 744 · h-index 16

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Paleontology top 10%
    • Evolution and Paleontology Studies

Papers in

    • Genomics and Phylogenetic Studies 9
    • Bioinformatics and Genomic Networks 4
    • RNA Research and Splicing 3
    • Gene expression and cancer classification 2
    • Circular RNAs in diseases 2
    • Genetic diversity and population structure 9

Vivek Jayaswal

27 papers receiving 737 citations

Peers

Vivek Jayaswal
Comparison fields: 5 of 81
  • Cancer Research 227
  • Paleontology 96
  • Molecular Biology 478
  • Genetics 185
  • Hematology 37
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Citations per field
00.5×6.9×
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Citations per year

Countries citing papers authored by Vivek Jayaswal

Since Specialization
Citations

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

Fields of papers citing papers by Vivek Jayaswal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vivek Jayaswal, 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 Vivek Jayaswal Line = papers co-authored together Vivek Jayaswal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201492
2 201259
3 201455
4 201154
5 201448
6 200844
7 201042
8 201440
9 200537
10 200933
11 202129
12 201529
13 200729
14 201123
15 201021
16 201615
17 201414
18 201413
19 200913
20 201312

About Vivek Jayaswal

Vivek Jayaswal is a scholar working on Molecular Biology, Genetics, Cancer Research, Paleontology and Ecology, Evolution, Behavior and Systematics, having authored 27 papers that have together received 744 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Genetic diversity and population structure (9 papers), MicroRNA in disease regulation (6 papers), Evolution and Paleontology Studies (4 papers), Bioinformatics and Genomic Networks (4 papers), RNA Research and Splicing (3 papers), Gene expression and cancer classification (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (227 citations), Paleontology (96 citations), Molecular Biology (478 citations), Genetics (185 citations) and Hematology (37 citations). Vivek Jayaswal has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include Lars S. Jermiin, John Robinson, Catalina A. Palma, Adam Bryant, Faisal Ababneh, Jean Yang, L. Poladian, D. F. David, Thomas K. F. Wong and José M. Ranz. Their work appears in journals such as Systematic Biology, Molecular Biology and Evolution, Pigment Cell & Melanoma Research, Molecular Cancer and Evolution.

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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