V. Ramesh

46 papers receiving 1.3k citations

Peers

V. Ramesh
Comparison fields: 5 of 105
  • Cardiology and Cardiovascular Medicine 776
  • Cellular and Molecular Neuroscience 383
  • Sensory Systems 73
  • Molecular Biology 1.0k
  • Physiology 36
Replace Renate Paddenberg with:
Renate Paddenberg Germany
Tomoyuki Wada Japan
Ying Fu United States
Márta Szaszák Germany
Henry Danahay United Kingdom
Steve Sorota United States
Colin Wickenden United Kingdom
M. Molina Spain
Maki Takahashi Japan
S. J. White United Kingdom
V. Ramesh relative to Renate Paddenberg Germany Renate Paddenberg's profile →
Citations per field
00.5×4.7×
Renate Paddenberg · 1×
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 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999473
2 1998236
3 2000158
4 1998107
5 200159
6 199858
7 200627
8 199921
9 200618
10 199518
11 201618
12 201214
13 201014
14 200810
15 20139
16 20169
17 20048
18 20218
19 20246
20 20225

About V. Ramesh

V. Ramesh is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Molecular Biology, Surgery and Infectious Diseases, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (7 papers), Ion channel regulation and function (7 papers), Analytical Methods in Pharmaceuticals (3 papers), melanin and skin pigmentation (3 papers), Fungal Infections and Studies (3 papers), Bone Tumor Diagnosis and Treatments (3 papers), Analytical Chemistry and Chromatography (2 papers) and Cerebrospinal fluid and hydrocephalus (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (776 citations), Cellular and Molecular Neuroscience (383 citations), Sensory Systems (73 citations), Molecular Biology (1.0k citations) and Physiology (36 citations). V. Ramesh has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Clara Franzini‐Armstrong, Feliciano Protasi, C Franzini-Armstrong, Vinod Sharma, Larry R. Jones, Yvonne M. Kobayashi, Lars Nilausen Cleemann, Yuichiro Suzuki, Martin Morad and Avninder Singh. Their work appears in journals such as Annals of the New York Academy of Sciences, International Journal of STD & AIDS, Journal of Molecular and Cellular Cardiology, Clinical Nephrology and Journal of Clinical Investigation.

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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