Arunkumar Sundaram
Impact in
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
Papers in
-
- RNA and protein synthesis mechanisms 5
- RNA regulation and disease 3
- RNA modifications and cancer 3
- RNA Research and Splicing 3
-
- Birth, Development, and Health 3
- Co-authors
- Malaiyalam Mariappan (3 shared papers)Suhila Appathurai (3 shared papers)Rachel Plumb (3 shared papers)Chris M. Grant (2 shared papers)Robert J. Keenan (5 shared papers)Frank Zhong (3 shared papers)Harbindar Jeet Singh (4 shared papers)Siew-Keah Lee (4 shared papers)
- Journals
- Journal of Physiology and Biochemistry (3 papers)eLife (2 papers)Fungal Genetics and Biology (1 paper)Cell Reports (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- United StatesMalaysiaUnited Kingdom
In The Last Decade
Arunkumar Sundaram
16 papers receiving 467 citations
Peers
Comparison fields: 5 of 67
- Cell Biology 180
- Structural Biology 9
- Molecular Biology 270
- Endocrine and Autonomic Systems 18
- Epidemiology 77
Countries citing papers authored by Arunkumar Sundaram
This map shows the geographic impact of Arunkumar Sundaram'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 Arunkumar Sundaram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arunkumar Sundaram more than expected).
Fields of papers citing papers by Arunkumar Sundaram
This network shows the impact of papers produced by Arunkumar Sundaram. 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 Arunkumar Sundaram. The network helps show where Arunkumar Sundaram may publish in the future.
Co-authors
The 25 scholars most cited alongside Arunkumar Sundaram, 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 | 2020 | 89 | |
| 2 | 2022 | 64 | |
| 3 | 2018 | 63 | |
| 4 | 2017 | 49 | |
| 5 | 2020 | 37 | |
| 6 | 2014 | 31 | |
| 7 | 2012 | 27 | |
| 8 | 2014 | 24 | |
| 9 | 2010 | 24 | |
| 10 | 2011 | 19 | |
| 11 | 2024 | 18 | |
| 12 | 2013 | 10 | |
| 13 | 2011 | 6 | |
| 14 | 2025 | 3 | |
| 15 | Expression analysis of transcription factors CTCF ( CCCTC- binding factor), BORIS (Brother of the Regulator Imprinted Sites) and YB-1 (Y- box binding factor 1) in osteosarcoma and glioma cell lines: Physical Interaction of CTCF~YB-1 in vivo. | 2012 | 2 |
| 16 | 2021 | 1 |
About Arunkumar Sundaram
Arunkumar Sundaram is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Epidemiology, Cell Biology and Biochemistry, having authored 16 papers that have together received 467 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Birth, Development, and Health (3 papers), RNA regulation and disease (3 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers) and Circadian rhythm and melatonin (2 papers). The work is most often cited by research in Cell Biology (180 citations), Structural Biology (9 citations), Molecular Biology (270 citations), Endocrine and Autonomic Systems (18 citations) and Epidemiology (77 citations). Arunkumar Sundaram has collaborated with scholars based in United States, Malaysia and United Kingdom. Frequent co-authors include Malaiyalam Mariappan, Suhila Appathurai, Rachel Plumb, Chris M. Grant, Robert J. Keenan, Frank Zhong, Harbindar Jeet Singh, Siew-Keah Lee, K. N. S. Sirajudeen and Ramanujan S. Hegde. Their work appears in journals such as Journal of Physiology and Biochemistry, eLife, Fungal Genetics and Biology, Cell Reports and Nature Structural & Molecular Biology.
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.