Muralidharan Jayaraman
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism 7
- Cancer-related molecular mechanisms research 4
- Toxicology top 5%
- Bioactive Compounds and Antitumor Agents 2
- Molecular Biology top 10%
- Sphingolipid Metabolism and Signaling 8
- Protein Kinase Regulation and GTPase Signaling 6
- Receptor Mechanisms and Signaling 3
- Cell Biology top 10%
- Caveolin-1 and cellular processes 5
- Cellular transport and secretion 3
- Sensory Systems top 10%
- Co-authors
- Danny N. DhanasekaranJi Hee HaYong Sang SongRangasudhagar RadhakrishnanCiro IsidoroV. RadhikaKendall BlumerKatherine Moxley
- Journals
- Journal of Biological Chemistry (1 paper)Nature Communications (1 paper)Cancer Research (2 papers)
- Partner nations
- United StatesSouth KoreaItaly
In The Last Decade
Muralidharan Jayaraman
38 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 107
- Cancer Research 283
- Toxicology 39
- Molecular Biology 756
- Cell Biology 151
- Sensory Systems 42
Countries citing papers authored by Muralidharan Jayaraman
This map shows the geographic impact of Muralidharan Jayaraman'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 Muralidharan Jayaraman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muralidharan Jayaraman more than expected).
Fields of papers citing papers by Muralidharan Jayaraman
This network shows the impact of papers produced by Muralidharan Jayaraman. 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 Muralidharan Jayaraman. The network helps show where Muralidharan Jayaraman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Muralidharan Jayaraman, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 8 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 11 | |
| 9 | 2021 | 9 | |
| 10 | 2020 | 37 | |
| 11 | 2020 | 14 | |
| 12 | 2018 | 68 | |
| 13 | 2018 | 92 | |
| 14 | 2017 | 137 | |
| 15 | 2014 | 35 | |
| 16 | 2011 | 68 | |
| 17 | 2009 | 6 | |
| 18 | 2007 | 35 | |
| 19 | 2007 | 96 | |
| 20 | 2003 | 5 |
About Muralidharan Jayaraman
Muralidharan Jayaraman is a scholar working on Cancer Research, Cell Biology and Toxicology, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (8 papers), Cancer, Hypoxia, and Metabolism (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Caveolin-1 and cellular processes (5 papers), Cancer-related molecular mechanisms research (4 papers), Cellular transport and secretion (3 papers), Receptor Mechanisms and Signaling (3 papers) and Bioactive Compounds and Antitumor Agents (2 papers). The work is most often cited by research in Cancer Research (283 citations), Toxicology (39 citations) and Molecular Biology (756 citations). Muralidharan Jayaraman has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include Danny N. Dhanasekaran, Ji Hee Ha, Yong Sang Song, Rangasudhagar Radhakrishnan, Ciro Isidoro, V. Radhika, Kendall Blumer, Katherine Moxley, Jeremy D. Ward and Mingda Yan. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Cancer Research.
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.