B. Radhakrishnamurthy

2.6k citations
104 papers · 2.3k · h-index 28

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 25
    • Peroxisome Proliferator-Activated Receptors 8
    • Proteoglycans and glycosaminoglycans research 35

B. Radhakrishnamurthy

102 papers receiving 2.0k citations

Peers

B. Radhakrishnamurthy
Comparison fields: 5 of 124
  • Cell Biology 941
  • Immunology and Allergy 182
  • Cancer Research 434
  • Endocrinology, Diabetes and Metabolism 343
  • Molecular Biology 880
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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 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1975143
2 1970133
3 1977129
4 1986120
5 1981118
6 1972117
7 197969
8 198157
9 197148
10 196848
11 199048
12 198246
13
Studies of biologic properties of proteoglycans from bovine aorta.
198046
14 196343
15
Serum-free and protein-bound sugars and cardiovascular complications in diabetes mellitus.
197637
16 196736
17 197135
18 198935
19 196835
20 198733

About B. Radhakrishnamurthy

B. Radhakrishnamurthy is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Endocrinology, Diabetes and Metabolism and Surgery, having authored 104 papers that have together received 2.3k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (35 papers), Glycosylation and Glycoproteins Research (25 papers), Protease and Inhibitor Mechanisms (18 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Connective tissue disorders research (9 papers), Peroxisome Proliferator-Activated Receptors (8 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers) and Cholesterol and Lipid Metabolism (7 papers). The work is most often cited by research in Cell Biology (941 citations), Immunology and Allergy (182 citations), Cancer Research (434 citations), Endocrinology, Diabetes and Metabolism (343 citations) and Molecular Biology (880 citations). B. Radhakrishnamurthy has collaborated with scholars based in United States, India and Netherlands. 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, G. S. Berenson and Berenson Gs. Their work appears in journals such as Experimental Biology and Medicine, Atherosclerosis, Analytical Biochemistry, American Journal of Clinical Nutrition and Archives of Biochemistry and Biophysics.

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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