Arunkumar Arumugam
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
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- Cancer Cells and Metastasis
- Pancreatic and Hepatic Oncology Research
- Cancer-related Molecular Pathways
Papers in
- Oncology 17
- Cancer-related Molecular Pathways 6
- Cancer Risks and Factors 6
- Cancer Cells and Metastasis 4
- Pancreatic and Hepatic Oncology Research 3
- Co-authors
- Rajkumar Lakshmanaswamy (27 shared papers)Sushmita Nandy (19 shared papers)Ramadevi Subramani (16 shared papers)Alok Dwivedi (3 shared papers)Edward C. Saltzstein (3 shared papers)Elizabeth M. Gonzalez (3 shared papers)Mahesh Narayan (2 shared papers)Christina Gutierrez (5 shared papers)
- Journals
- Cancer Research (4 papers)Oncotarget (3 papers)BMC Cancer (2 papers)Cellular Physiology and Biochemistry (2 papers)Experimental & Molecular Medicine (2 papers)
- Partner nations
- United States
In The Last Decade
Arunkumar Arumugam
27 papers receiving 707 citations
Peers
Comparison fields: 5 of 78
- Cancer Research 204
- Oncology 227
- Molecular Biology 429
- Endocrinology, Diabetes and Metabolism 87
- Toxicology 14
Countries citing papers authored by Arunkumar Arumugam
This map shows the geographic impact of Arunkumar Arumugam'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 Arumugam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arunkumar Arumugam more than expected).
Fields of papers citing papers by Arunkumar Arumugam
This network shows the impact of papers produced by Arunkumar Arumugam. 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 Arumugam. The network helps show where Arunkumar Arumugam may publish in the future.
Co-authors
The 25 scholars most cited alongside Arunkumar Arumugam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 136 | |
| 2 | 2014 | 76 | |
| 3 | 2015 | 61 | |
| 4 | 2019 | 54 | |
| 5 | 2016 | 50 | |
| 6 | 2013 | 49 | |
| 7 | 2013 | 43 | |
| 8 | 2014 | 35 | |
| 9 | 2015 | 31 | |
| 10 | 2017 | 25 | |
| 11 | 2015 | 21 | |
| 12 | 2021 | 17 | |
| 13 | 2014 | 15 | |
| 14 | 2014 | 15 | |
| 15 | 2015 | 13 | |
| 16 | 2012 | 12 | |
| 17 | 2014 | 11 | |
| 18 | 2014 | 10 | |
| 19 | 2014 | 10 | |
| 20 | 2010 | 9 |
About Arunkumar Arumugam
Arunkumar Arumugam is a scholar working on Oncology, Molecular Biology, Cancer Research, Genetics and Endocrinology, Diabetes and Metabolism, having authored 27 papers that have together received 717 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (7 papers), Cancer-related Molecular Pathways (6 papers), Cancer Risks and Factors (6 papers), Cancer Cells and Metastasis (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), MicroRNA in disease regulation (3 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). The work is most often cited by research in Cancer Research (204 citations), Oncology (227 citations), Molecular Biology (429 citations), Endocrinology, Diabetes and Metabolism (87 citations) and Toxicology (14 citations). Arunkumar Arumugam has collaborated with scholars based in United States. Frequent co-authors include Rajkumar Lakshmanaswamy, Sushmita Nandy, Ramadevi Subramani, Alok Dwivedi, Edward C. Saltzstein, Elizabeth M. Gonzalez, Mahesh Narayan, Christina Gutierrez, Diego A. Pedroza and Laxman Gangwani. Their work appears in journals such as Cancer Research, Oncotarget, BMC Cancer, Cellular Physiology and Biochemistry and Experimental & Molecular Medicine.
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.