Ram Madhavan

26 papers receiving 232 citations

Peers

Ram Madhavan
Comparison fields: 5 of 55
  • Dermatology 33
  • Epidemiology 106
  • Cell Biology 41
  • Hepatology 15
  • Hematology 18
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Dilek Seçkin Türkiye
F. Taillard France
Thomas Sylwestrowicz Canada
Carl Janssen Belgium
Hikotaro Yoshida Japan
Geeti Khullar India
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Sumir Kumar India
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Citations per field
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Citations per year

Countries citing papers authored by Ram Madhavan

Since Specialization
Citations

This map shows the geographic impact of Ram Madhavan'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 Ram Madhavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ram Madhavan more than expected).

Fields of papers citing papers by Ram Madhavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ram Madhavan. 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 Ram Madhavan. The network helps show where Ram Madhavan may publish in the future.

Co-authors

The 25 scholars most cited alongside Ram Madhavan, 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 Ram Madhavan Line = papers co-authored together Ram Madhavan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015103
2 201722
3 201621
4
Progressive systemic sclerosis in south India.
199119
5
Prealbumin rather than albumin is a more sensitive indicator of acute liver disease.
199314
6
Pattern of rheumatic diseases in south India. IV. Clinical profile of juvenile rheumatoid arthritis.
199012
7 20217
8
Pattern of rheumatic diseases in south India. V. Ankylosing spondylitis. A clinical and radiological study.
19907
9
In-vitro Alpha-glucosidase Inhibitory Activity of Abraga Chendhooram, a Siddha Drug
20126
10 20205
11
Fibrodysplasia (myositis) ossificans progressiva in Dominica.
19894
12 20223
13 19703
14 20212
15 20172
16 20162
17 20172
18 20162
19 20202
20 20192

About Ram Madhavan

Ram Madhavan is a scholar working on Pulmonary and Respiratory Medicine, Hepatology, Radiology, Nuclear Medicine and Imaging, Complementary and alternative medicine and Surgery, having authored 33 papers that have together received 246 indexed citations. Recurring topics across this work include Phytochemicals and Medicinal Plants (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Ethnobotanical and Medicinal Plants Studies (2 papers), Colorectal Cancer Surgical Treatments (2 papers), Head and Neck Cancer Studies (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Essential Oils and Antimicrobial Activity (2 papers). The work is most often cited by research in Dermatology (33 citations), Epidemiology (106 citations), Cell Biology (41 citations), Hepatology (15 citations) and Hematology (18 citations). Ram Madhavan has collaborated with scholars based in India and Malaysia. Frequent co-authors include Parasuraman Ganeshkumar, R Porkodi, P. Balasubramaniam, Rajesh Nair, Sivasubramanian Ramakrishnan, Debnarayan Dutta, Rajeshwari Subramaniam, Hannah R. Vasanthi, S. Ramakrishnan and Bhaskar Gurram. Their work appears in journals such as Radiotherapy and Oncology, Radiation Oncology Journal, International Journal of Radiation Oncology*Biology*Physics, Journal of Cancer Research and Therapeutics and The Indian Journal of Pediatrics.

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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