Robin Ganesan

1.2k citations
12 papers · 935 indexed · h-index 8

Impact in

    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • RNA modifications and cancer
    • CRISPR and Genetic Engineering
    • Genomics and Phylogenetic Studies
    • Genomics and Chromatin Dynamics
  • Aging top 10%

Papers in

    • Microbial infections and disease research 1
    • RNA and protein synthesis mechanisms 10
    • RNA modifications and cancer 8
    • RNA Research and Splicing 8
    • Fungal and yeast genetics research 1
    • CRISPR and Genetic Engineering 1

Robin Ganesan

12 papers receiving 926 citations

Peers

Robin Ganesan
Comparison fields: 5 of 59
  • Molecular Biology 843
  • Aging 20
  • Plant Science 309
  • Physiology 106
  • Genetics 81
Replace Diane E. Cryderman with:
Diane E. Cryderman United States
Zemfira N. Karamysheva United States
Anna V. Kotrys Poland
Julie Parenteau Canada
Omar Torres‐Quesada Austria
Anna Y. Aksenova Russia
David C. Tack United States
Sara R. Heras Spain
Nicholas J. McGlincy United Kingdom
Brenda A. Peculis United States
Robin Ganesan relative to Diane E. Cryderman United States Diane E. Cryderman's profile →
Citations per field
00.5×1.5×
Diane E. Cryderman · 1×
Citations per year

Countries citing papers authored by Robin Ganesan

Since Specialization
Citations

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

Fields of papers citing papers by Robin Ganesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside Robin Ganesan, 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 Robin Ganesan Line = papers co-authored together Robin Ganesan links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 202423
2 20241
3 202210
4 202124
5 20184
6 20156
7 201319
8 201039
9 200659
10 20053
11 2004399
12 1993348

About Robin Ganesan

Robin Ganesan is a scholar working on Microbiology, Molecular Biology, Agronomy and Crop Science, Immunology and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 935 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (10 papers), RNA modifications and cancer (8 papers), RNA Research and Splicing (8 papers), Viral Infections and Immunology Research (1 paper), Telomeres, Telomerase, and Senescence (1 paper), Fungal and yeast genetics research (1 paper), CRISPR and Genetic Engineering (1 paper) and Microbial infections and disease research (1 paper). The work is most often cited by research in Molecular Biology (843 citations), Aging (20 citations), Plant Science (309 citations), Physiology (106 citations) and Genetics (81 citations). Robin Ganesan has collaborated with scholars based in United States. Frequent co-authors include Allan Jacobson, Nadia Amrani, Shubhendu Ghosh, Stéphanie Kervestin, David A. Mangus, Robert Levis, Fang-miin Sheen, Kathleen Houtchens, Feng He and Shuyun Dong. Their work appears in journals such as PLoS Genetics, RNA, Nature, Biochemical Society Transactions and Methods.

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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