B. Radhakrishnamurthy

2.6k citations
101 papers · 2.2k · h-index 27

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 25
    • Peroxisome Proliferator-Activated Receptors 8
    • Proteoglycans and glycosaminoglycans research 34

B. Radhakrishnamurthy

100 papers receiving 2.0k citations

Peers

B. Radhakrishnamurthy
Comparison fields: 5 of 120
  • Cell Biology 900
  • Immunology and Allergy 184
  • Cancer Research 420
  • Endocrinology, Diabetes and Metabolism 369
  • Molecular Biology 864
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Citations per year

Countries citing papers authored by B. Radhakrishnamurthy

Since Specialization
Citations

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

Fields of papers citing papers by B. Radhakrishnamurthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1975135
2 1970126
3 1977120
4 1981115
5 1986111
6 1972107
7 197966
8 199048
9 198147
10
Studies of biologic properties of proteoglycans from bovine aorta.
198045
11 197145
12 198244
13 196843
14 196342
15
Serum-free and protein-bound sugars and cardiovascular complications in diabetes mellitus.
197636
16 198935
17 197134
18 196734
19 196832
20 198731

About B. Radhakrishnamurthy

B. Radhakrishnamurthy is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Endocrinology, Diabetes and Metabolism and Surgery, having authored 101 papers that have together received 2.2k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (34 papers), Glycosylation and Glycoproteins Research (25 papers), Protease and Inhibitor Mechanisms (17 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Peroxisome Proliferator-Activated Receptors (8 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Connective tissue disorders research (8 papers) and Diet, Metabolism, and Disease (7 papers). The work is most often cited by research in Cell Biology (900 citations), Immunology and Allergy (184 citations), Cancer Research (420 citations), Endocrinology, Diabetes and Metabolism (369 citations) and Molecular Biology (864 citations). B. Radhakrishnamurthy has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Gerald S. Berenson, S R Srinivasan, Edward R. Dalferes, Parakat Vijayagopal, Patrick Dolan, H. Ruiz, Larry S. Webber, Alfredo Lopez‐S, David S. Freedman and G. S. Berenson. Their work appears in journals such as Experimental Biology and Medicine, Atherosclerosis, American Journal of Clinical Nutrition, Archives of Biochemistry and Biophysics and Analytical Biochemistry.

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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