Vijay Muthukumar
Impact in
- Endocrinology top 5%
- Plant and Fungal Interactions Research
Papers in
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- Chromatin Remodeling and Cancer 4
-
- Plant and Fungal Interactions Research 3
- Co-authors
- Courtney T. Griffin (6 shared papers)Carol D. Curtis (1 shared paper)Reema B. Davis (1 shared paper)Terry Magnuson (1 shared paper)Ulrich Melcher (3 shared papers)Bruce A. Roe (3 shared papers)Akhtar Ali (3 shared papers)Graham B. Wiley (3 shared papers)
- Journals
- Virus Research (1 paper)Disease Models & Mechanisms (1 paper)Phytopathology (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Journal of the American Heart Association (1 paper)
- Partner nations
- United StatesPolandIreland
In The Last Decade
Vijay Muthukumar
9 papers receiving 298 citations
Peers
Comparison fields: 5 of 50
- Endocrinology 99
- Horticulture 4
- Plant Science 131
- Molecular Biology 159
- Cancer Research 26
Countries citing papers authored by Vijay Muthukumar
This map shows the geographic impact of Vijay Muthukumar'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 Vijay Muthukumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vijay Muthukumar more than expected).
Fields of papers citing papers by Vijay Muthukumar
This network shows the impact of papers produced by Vijay Muthukumar. 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 Vijay Muthukumar. The network helps show where Vijay Muthukumar may publish in the future.
Co-authors
The 23 scholars most cited alongside Vijay Muthukumar, 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 | 2011 | 92 | |
| 2 | 2009 | 65 | |
| 3 | 2008 | 44 | |
| 4 | 2015 | 26 | |
| 5 | 2020 | 24 | |
| 6 | 2011 | 23 | |
| 7 | 2019 | 14 | |
| 8 | 2017 | 10 | |
| 9 | 2020 | 4 | |
| 10 | Metagenomics for the Identification Of Plant Viruses in the Tallgrass Prairie Preserve | 2014 | 0 |
About Vijay Muthukumar
Vijay Muthukumar is a scholar working on Molecular Biology, Endocrinology, Plant Science, Pathology and Forensic Medicine and Immunology, having authored 10 papers that have together received 302 indexed citations. Recurring topics across this work include Chromatin Remodeling and Cancer (4 papers), Plant and Fungal Interactions Research (3 papers), Plant Virus Research Studies (3 papers), interferon and immune responses (2 papers), Cancer Mechanisms and Therapy (2 papers), Plant Disease Resistance and Genetics (2 papers), MicroRNA in disease regulation (1 paper) and Gestational Trophoblastic Disease Studies (1 paper). The work is most often cited by research in Endocrinology (99 citations), Horticulture (4 citations), Plant Science (131 citations), Molecular Biology (159 citations) and Cancer Research (26 citations). Vijay Muthukumar has collaborated with scholars based in United States, Poland and Ireland. Frequent co-authors include Courtney T. Griffin, Carol D. Curtis, Reema B. Davis, Terry Magnuson, Ulrich Melcher, Bruce A. Roe, Akhtar Ali, Graham B. Wiley, Michael W. Palmer and Tao Ding. Their work appears in journals such as Virus Research, Disease Models & Mechanisms, Phytopathology, Arteriosclerosis Thrombosis and Vascular Biology and Journal of the American Heart Association.
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.