Ramesh Ramakrishnan

2.9k citations
43 papers · 2.4k · h-index 24

Impact in

Papers in

    • Gene expression and cancer classification 9
    • Molecular Biology Techniques and Applications 8
    • Advanced biosensing and bioanalysis techniques 7
    • Single-cell and spatial transcriptomics 5
    • Advanced Biosensing Techniques and Applications 4
    • Virus-based gene therapy research 10

Ramesh Ramakrishnan

43 papers receiving 2.3k citations

Peers

Ramesh Ramakrishnan
Comparison fields: 5 of 142
  • Genetics 712
  • Horticulture 18
  • Virology 77
  • Molecular Biology 1.2k
  • Epidemiology 478
Replace Robert J. Pryor with:
Robert J. Pryor United States
Nathalie Sauvonnet France
A. Fawad Faruqi United States
Nathan A. Tanner United States
E. D. Sverdlov Russia
Robert Palais United States
Gina L. Costa United States
Luis L. P. daSilva Brazil
Martha F. Kramer United States
Evelyn Niday Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Ramesh Ramakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Ramesh Ramakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008317
2 2008257
3 1998205
4 2010175
5 2002165
6 1996149
7 2009138
8 200989
9 201085
10 200883
11 199476
12 201565
13 199461
14 201061
15 199354
16 201050
17 201543
18 200239
19 199636
20 201427

About Ramesh Ramakrishnan

Ramesh Ramakrishnan is a scholar working on Molecular Biology, Genetics, Epidemiology, Biomedical Engineering and Virology, having authored 43 papers that have together received 2.4k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (11 papers), Virus-based gene therapy research (10 papers), Gene expression and cancer classification (9 papers), Molecular Biology Techniques and Applications (8 papers), Advanced biosensing and bioanalysis techniques (7 papers), Single-cell and spatial transcriptomics (5 papers), Cancer Genomics and Diagnostics (4 papers) and Advanced Biosensing Techniques and Applications (4 papers). The work is most often cited by research in Genetics (712 citations), Horticulture (18 citations), Virology (77 citations), Molecular Biology (1.2k citations) and Epidemiology (478 citations). Ramesh Ramakrishnan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Robert C. Jones, Jian Qin, Simant Dube, Sandra L. Spurgeon, D J Fink, Joseph C. Glorioso, Peggy Marconi, Michael Levine, Pietro Luigi Poliani and Alain Mir. Their work appears in journals such as Journal of Virology, PLoS ONE, Nucleic Acids Research, Clinical Chemistry and Resuscitation.

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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