Arun Ramani

4.5k citations
39 papers · 2.2k · h-index 17

Impact in

  • Aging top 2%
    • Bioinformatics and Genomic Networks
    • RNA Research and Splicing
    • Biomedical Text Mining and Ontologies
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Microbial Metabolic Engineering and Bioproduction
    • Machine Learning in Bioinformatics

Papers in

    • RNA modifications and cancer 7
    • RNA Research and Splicing 6
    • Biomedical Text Mining and Ontologies 6
    • Bioinformatics and Genomic Networks 6
    • Genomics and Phylogenetic Studies 5
    • RNA and protein synthesis mechanisms 4

Arun Ramani

36 papers receiving 2.1k citations

Peers

Arun Ramani
Comparison fields: 5 of 115
  • Aging 123
  • Molecular Biology 1.9k
  • Computational Theory and Mathematics 207
  • Genetics 256
  • Artificial Intelligence 282
Replace Michael Livstone with:
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Debra S. Goldberg United States
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Teresa Reguly Canada
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Matthew Hibbs United States
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Arun Ramani relative to Michael Livstone United States Michael Livstone's profile →
Citations per field
00.5×2.9×
Michael Livstone · 1×
Citations per year

Countries citing papers authored by Arun Ramani

Since Specialization
Citations

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

Fields of papers citing papers by Arun Ramani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006288
2 2004287
3 2004245
4 2010185
5 2005172
6 2003156
7 2019133
8 2010128
9 200986
10 200863
11 201455
12 201451
13 201841
14 201239
15 201936
16 202226
17 200625
18
Learning to Extract Proteins and their Interactions from Medline Abstracts
200316
19 201615
20 200613

About Arun Ramani

Arun Ramani is a scholar working on Molecular Biology, Genetics, Cancer Research, Aging and Artificial Intelligence, having authored 39 papers that have together received 2.2k indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), RNA Research and Splicing (6 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Cancer Genomics and Diagnostics (6 papers), Biomedical Text Mining and Ontologies (6 papers), Bioinformatics and Genomic Networks (6 papers), Genomics and Phylogenetic Studies (5 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Aging (123 citations), Molecular Biology (1.9k citations), Computational Theory and Mathematics (207 citations), Genetics (256 citations) and Artificial Intelligence (282 citations). Arun Ramani has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Edward M. Marcotte, Traver Hart, Răzvan Bunescu, Raymond J. Mooney, Andrew Fraser, Rohit J. Kate, Yuk Wah Wong, Insuk Lee, Peer Bork and Lars Juhl Jensen. Their work appears in journals such as Genome Research, Nature Communications, The American Journal of Human Genetics, Genome biology and Bioinformatics.

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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