V. Ramesh

41 papers receiving 638 citations

Peers

V. Ramesh
Comparison fields: 5 of 113
  • Pathology and Forensic Medicine 112
  • Endocrinology, Diabetes and Metabolism 100
  • Obstetrics and Gynecology 45
  • Nutrition and Dietetics 79
  • Hepatology 39
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Citations per year

Countries citing papers authored by V. Ramesh

Since Specialization
Citations

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

Fields of papers citing papers by V. Ramesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prevalence & risk factors of pre-hypertension & hypertension in an affluent north Indian population.
2008111
2 201288
3 201454
4
T1 and M1 polymorphism in glutathione S-transferase gene and coronary artery disease in North Indian population.
200446
5 201629
6
Effectiveness of mandatory transmissible diseases screening in Indian blood donors.
199528
7 200626
8 199826
9 199325
10 202223
11
Absence of factor V Leiden (G1691A) mutation, FII G20210A allele in coronary artery disease in North India.
200322
12 200815
13 201314
14 198114
15 202114
16 201613
17 198013
18 199412
19
Genetic predisposition of E-selectin gene (S128R) polymorphism in patients with coronary artery disease (CAD).
200912
20 200511

About V. Ramesh

V. Ramesh is a scholar working on Materials Chemistry, Epidemiology, Molecular Biology, Electrical and Electronic Engineering and Endocrinology, Diabetes and Metabolism, having authored 44 papers that have together received 681 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Conducting polymers and applications (4 papers), Enzyme Production and Characterization (4 papers), Advanced Photocatalysis Techniques (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Hepatitis B Virus Studies (3 papers), Vitamin D Research Studies (3 papers) and Enzyme Catalysis and Immobilization (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (112 citations), Endocrinology, Diabetes and Metabolism (100 citations), Obstetrics and Gynecology (45 citations), Nutrition and Dietetics (79 citations) and Hepatology (39 citations). V. Ramesh has collaborated with scholars based in India, Germany and United Kingdom. Frequent co-authors include Eesh Bhatia, Subhash Yadav, Vijayalakshmi Bhatia, Chanan Singh, Agarwal Ak, Nakul Sinha, Beena Bansal, Harish Singh, Nikumani Choudhury and Priya Saxena. Their work appears in journals such as Ceramics International, Journal of Alloys and Compounds, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Materials Science and Engineering B and British Journal Of Nutrition.

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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