Arunkumar Arumugam

904 citations
23 papers · 756 · h-index 15

Impact in

    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • Cancer Cells and Metastasis

Papers in

    • Cancer-related Molecular Pathways 3
    • Pancreatic and Hepatic Oncology Research 3
    • Cancer Risks and Factors 2
    • Cancer, Hypoxia, and Metabolism 3

Arunkumar Arumugam

23 papers receiving 741 citations

Peers

Arunkumar Arumugam
Comparison fields: 5 of 74
  • Cancer Research 181
  • Oncology 198
  • Molecular Biology 390
  • Endocrinology, Diabetes and Metabolism 87
  • Toxicology 15
Replace Ramadevi Subramani with:
Ramadevi Subramani United States
Xuanfu Xu China
Jianguo Cao China
Ming‐Ting Lee Taiwan
Tae Woo Kim South Korea
Michael Carducci United States
Yanping Wang China
Abdul Basit Baba India
Devaraja Rajasekaran United States
Amit Kumar Verma India
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Citations per field
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Citations per year

Countries citing papers authored by Arunkumar Arumugam

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 24 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.

Border = papers with Arunkumar Arumugam Line = papers co-authored together Arunkumar Arumugam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016145
2 201477
3 201564
4 201959
5 201654
6 201353
7 201352
8 201437
9 201532
10 201726
11 201520
12 202118
13 201416
14 201415
15 201515
16 201414
17 201212
18 201410
19 201410
20 20109

About Arunkumar Arumugam

Arunkumar Arumugam is a scholar working on Oncology, Cancer Research, Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 23 papers that have together received 756 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), Cancer-related Molecular Pathways (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Insect Pest Control Strategies (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Cancer Risks and Factors (2 papers). The work is most often cited by research in Cancer Research (181 citations), Oncology (198 citations), Molecular Biology (390 citations), Endocrinology, Diabetes and Metabolism (87 citations) and Toxicology (15 citations). Arunkumar Arumugam has collaborated with scholars based in United States. Frequent co-authors include Rajkumar Lakshmanaswamy, Sushmita Nandy, Ramadevi Subramani, Alok Kumar Dwivedi, Edward C. Saltzstein, Elizabeth M. Gonzalez, Mahesh Narayan, Christina Gutierrez, Diego A. Pedroza and Laxman Gangwani. Their work appears in journals such as Oncotarget, Cellular Physiology and Biochemistry, Experimental & Molecular Medicine, Steroids and BMC Cancer.

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.

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