Arjun N. Sasikumar

453 citations
6 papers · 339 · h-index 6

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Cancer-related gene regulation
    • Fungal and yeast genetics research

Papers in

    • RNA and protein synthesis mechanisms 3
    • RNA modifications and cancer 3
    • RNA Research and Splicing 2
    • Fungal and yeast genetics research 2
    • Genetics, Aging, and Longevity in Model Organisms 2

Arjun N. Sasikumar

6 papers receiving 335 citations

Peers

Arjun N. Sasikumar
Comparison fields: 5 of 76
  • Aging 25
  • Molecular Biology 243
  • Cancer Research 33
  • Plant Science 49
  • Cell Biology 21
Replace Min Hsu with:
Min Hsu United States
Rebecca Ponder United States
Edel M. Hyland United States
Julia B. Smirnova United Kingdom
David Thybert United Kingdom
Edward J. Miracco United States
Jacqueline Franke Germany
Nithu Sara John United Kingdom
Mathieu Catala Canada
Arjun N. Sasikumar relative to Min Hsu United States Min Hsu's profile →
Citations per field
00.5×1.5×1.9×
Min Hsu · 1×
Citations per year

Countries citing papers authored by Arjun N. Sasikumar

Since Specialization
Citations

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

Fields of papers citing papers by Arjun N. Sasikumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arjun N. Sasikumar. 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 Arjun N. Sasikumar. The network helps show where Arjun N. Sasikumar may publish in the future.

Co-authors

The 21 scholars most cited alongside Arjun N. Sasikumar, 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 Arjun N. Sasikumar Line = papers co-authored together Arjun N. Sasikumar links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About Arjun N. Sasikumar

Arjun N. Sasikumar is a scholar working on Molecular Biology, Aging, Biological Psychiatry, Oncology and Plant Science, having authored 6 papers that have together received 339 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Fungal and yeast genetics research (2 papers), Tryptophan and brain disorders (1 paper), Peptidase Inhibition and Analysis (1 paper) and Plant Disease Resistance and Genetics (1 paper). The work is most often cited by research in Aging (25 citations), Molecular Biology (243 citations), Cancer Research (33 citations), Plant Science (49 citations) and Cell Biology (21 citations). Arjun N. Sasikumar has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Terri Goss Kinzy, Winder B. Perez, Anthony M. Esposito, Jenna Hutton, Maria K. Mateyak, Brian K. Kennedy, Rachel B. Brem, Paul R. Copeland, Dongming He and Silvi Rouskin. Their work appears in journals such as Journal of Visualized Experiments, Science Advances, Wiley Interdisciplinary Reviews - RNA, Experimental Gerontology and Journal of Biological Chemistry.

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.

Explore authors with similar magnitude of impact