Prashanth Athri

486 citations
20 papers · 354 · h-index 10

Impact in

    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • DNA and Nucleic Acid Chemistry
    • Genomics and Phylogenetic Studies

Papers in

Prashanth Athri

19 papers receiving 348 citations

Peers

Prashanth Athri
Comparison fields: 5 of 74
  • Molecular Biology 259
  • Health Informatics 5
  • Computational Theory and Mathematics 55
  • Toxicology 9
  • Aging 4
Replace Prashant K. Khade with:
Prashant K. Khade United States
Jinchao Yu France
Matthieu Chartier Canada
Marcelino Arciniega Germany
Juan Pablo Arcon Argentina
Ronnie Maharaj United States
Finton Sirockin Switzerland
Jenifer Borgognoni United Kingdom
Sandeep K. Talapatra United Kingdom
Elke Michalsky Germany
Prashanth Athri relative to Prashant K. Khade United States Prashant K. Khade's profile →
Citations per field
00.5×
Prashant K. Khade · 1×
Citations per year

Countries citing papers authored by Prashanth Athri

Since Specialization
Citations

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

Fields of papers citing papers by Prashanth Athri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2010129
2 201736
3 200936
4 201027
5 200627
6 201818
7 200917
8 202016
9 202211
10 201010
11 20227
12 20184
13 20234
14 20203
15 20163
16 20242
17 20202
18 20221
19 20181
20 20200

About Prashanth Athri

Prashanth Athri is a scholar working on Molecular Biology, Computational Theory and Mathematics, Infectious Diseases, Organic Chemistry and Epidemiology, having authored 20 papers that have together received 354 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (3 papers), Machine Learning in Bioinformatics (2 papers), Genomics and Phylogenetic Studies (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Machine Learning in Materials Science (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Molecular Biology (259 citations), Health Informatics (5 citations), Computational Theory and Mathematics (55 citations), Toxicology (9 citations) and Aging (4 citations). Prashanth Athri has collaborated with scholars based in India, United States and Switzerland. Frequent co-authors include W. David Wilson, Moritz Gerstung, Michael Stadler, Christian Beisel, Renato Paro, Daniel Enderle, Tanja Wenzler, Richard R. Tidwell, Gowri Srinivasa and Amol C. Shetty. Their work appears in journals such as BMC Bioinformatics, Briefings in Bioinformatics, European Journal of Medicinal Chemistry, Journal of the American Chemical Society and Annals of Human Genetics.

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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