Arjun N. Sasikumar
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
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- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Cancer-related gene regulation
- Fungal and yeast genetics research
- Epigenetics and DNA Methylation
Papers in
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- RNA modifications and cancer 3
- RNA and protein synthesis mechanisms 3
- Fungal and yeast genetics research 2
- RNA Research and Splicing 2
- Microbial Metabolic Engineering and Bioproduction 1
- Aging 2
- Genetics, Aging, and Longevity in Model Organisms 2
- Co-authors
- Terri Goss Kinzy (4 shared papers)Winder B. Perez (1 shared paper)Rachel B. Brem (2 shared papers)Anthony M. Esposito (2 shared papers)Paul R. Copeland (2 shared papers)Jenna Hutton (2 shared papers)Brian K. Kennedy (2 shared papers)Maria K. Mateyak (2 shared papers)
- Journals
- Journal of Visualized Experiments (2 papers)Experimental Gerontology (1 paper)Journal of Biological Chemistry (1 paper)Science Advances (1 paper)Wiley Interdisciplinary Reviews - RNA (1 paper)
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Arjun N. Sasikumar
6 papers receiving 338 citations
Peers
Comparison fields: 5 of 75
- Aging 23
- Molecular Biology 220
- Cancer Research 26
- Biological Psychiatry 3
- Biotechnology 11
Countries citing papers authored by Arjun N. Sasikumar
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
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 20 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 219 | |
| 2 | 2020 | 53 | |
| 3 | 2010 | 40 | |
| 4 | 2010 | 11 | |
| 5 | 2013 | 10 | |
| 6 | 2019 | 9 |
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 342 indexed citations. Recurring topics across this work include RNA modifications and cancer (3 papers), RNA and protein synthesis mechanisms (3 papers), Fungal and yeast genetics research (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), RNA Research and Splicing (2 papers), Tryptophan and brain disorders (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper) and Plant Disease Resistance and Genetics (1 paper). The work is most often cited by research in Aging (23 citations), Molecular Biology (220 citations), Cancer Research (26 citations), Biological Psychiatry (3 citations) and Biotechnology (11 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, Rachel B. Brem, Anthony M. Esposito, Paul R. Copeland, Jenna Hutton, Brian K. Kennedy, Maria K. Mateyak, Dongming He and Changhui Deng. Their work appears in journals such as Journal of Visualized Experiments, Experimental Gerontology, Journal of Biological Chemistry, Science Advances and Wiley Interdisciplinary Reviews - RNA.
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.