R Ramakrishnan

1.8k citations
20 papers · 1.5k indexed · h-index 13
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers)Cancer, Lipids, and Metabolism (7 papers)Lipoproteins and Cardiovascular Health (7 papers)

In The Last Decade

R Ramakrishnan

19 papers receiving 1.5k citations

Peers

R Ramakrishnan
Comparison fields: 5 of 75
  • Surgery 837
  • Endocrinology, Diabetes and Metabolism 803
  • Cardiology and Cardiovascular Medicine 502
  • Molecular Biology 455
  • Cancer Research 325
Replace Taku Yamamura with:
Taku Yamamura Japan
Larbi Krimbou Canada
V. Atger France
Ba‐Bie Teng United States
Allen D. Cooper United States
M J Bamberger United States
Miek C. Jong Netherlands
Steven R. Silberman United States
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Citations per field
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Citations per year

Countries citing papers authored by R Ramakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by R Ramakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R Ramakrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of R Ramakrishnan. A scholar is included among the top collaborators of R Ramakrishnan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R Ramakrishnan. R Ramakrishnan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 165
3
Lipoprotein lipase -93T/G transition is associated with lower plasma triglyceride levels and increases promoter activity in vitro
1
4 98
5
RELATIONSHIP OF APOPROTEIN-B AND APOPROTEIN-CIII POLYMORPHISMS WITH POSTPRANDIAL LIPEMIA
1
6 116
7 66
8 192
9 403
10 4
11 80
12 99
13 11
14 155
15 19
16 13
17 7
18 12
19 86
20
Prediction of the parameters of whole body cholesterol metabolism in humans.
8

About R Ramakrishnan

R Ramakrishnan is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Biochemistry, having authored 20 papers that have together received 1.5k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Cancer, Lipids, and Metabolism (7 papers) and Lipoproteins and Cardiovascular Health (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (803 citations), Cardiology and Cardiovascular Medicine (502 citations) and Cancer Research (325 citations). R Ramakrishnan has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Henry N. Ginsberg, Jan L. Breslow, Neil S. Shachter, Ira J. Goldberg, A Walsh, George Steiner, Tetsu Ebara, Tony Hayek, Katriina Aalto‐Setälä and Tova Chajek‐Shaul. Their work appears in journals such as Journal of Clinical Investigation, Arteriosclerosis Thrombosis and Vascular Biology and Journal of Lipid Research.

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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