Praveen Sethupathy

11.4k citations
65 papers · 6.3k indexed · 3 hit papers · h-index 31

Praveen Sethupathy

65 papers receiving 6.2k citations

Hit Papers

Potential etiologic and functional implications of genome...2.8k200520262012201950010001.5k2.0k2.5k

Peers

Praveen Sethupathy
Comparison fields: 5 of 138
  • Cancer Research 2.3k
  • Genetics 1.9k
  • Molecular Biology 4.3k
  • Immunology 438
  • Aging 31
Replace Juan Sandoval with:
Juan Sandoval Spain
Federico Canzian Germany
Kazuhiro Ikeda Japan
Yaoting Gui China
Christine Perret France
Khalid Zuberi Canada
Stefan Enroth Sweden
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Praveen Sethupathy relative to Juan Sandoval Spain Juan Sandoval's profile →
Citations per field
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Citations per year

Countries citing papers authored by Praveen Sethupathy

Since Specialization
Citations

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

Fields of papers citing papers by Praveen Sethupathy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20234
2 20233
3 202249
4 202264
5 20228
6 20216
7 201919
8 201860
9 201827
10 201750
11 2017104
12 201633
13 201537
14 201563
15 201440
16 20135
17 201341
18 201117
19
Potential etiologic and functional implications of genome-wide association loci for human diseases and traitsbreakdown →
20092820
20
TarBase: A comprehensive database of experimentally supported animal microRNA targetsbreakdown →
2005556

About Praveen Sethupathy

Praveen Sethupathy is a scholar working on Cancer Research, Molecular Biology and Environmental Chemistry, having authored 65 papers that have together received 6.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (37 papers), Cancer-related molecular mechanisms research (25 papers), RNA modifications and cancer (17 papers), RNA Research and Splicing (13 papers), Circular RNAs in diseases (10 papers), Pancreatic function and diabetes (6 papers), RNA regulation and disease (5 papers) and Arsenic contamination and mitigation (4 papers). The work is most often cited by research in Cancer Research (2.3k citations), Genetics (1.9k citations) and Molecular Biology (4.3k citations). Praveen Sethupathy has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Francis S. Collins, Teri A. Manolio, Lucia A. Hindorff, Heather Junkins, Erin M. Ramos, Artemis G. Hatzigeorgiou, Hisashi Iizasa, Kazuko Nishikura, Yukio Kawahara and Boris Zinshteyn. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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