M.R.V. Murthy

1.5k citations
71 papers · 1.3k · h-index 17

Impact in

Papers in

    • RNA and protein synthesis mechanisms 18
    • RNA modifications and cancer 8
    • DNA and Nucleic Acid Chemistry 6
    • DNA Repair Mechanisms 5
    • Chemical Synthesis and Analysis 5
    • Metabolism and Genetic Disorders 9

M.R.V. Murthy

63 papers receiving 1.1k citations

Peers

M.R.V. Murthy
Comparison fields: 5 of 108
  • Applied Mathematics 172
  • Biochemistry 106
  • Clinical Biochemistry 82
  • Computational Theory and Mathematics 162
  • Endocrinology, Diabetes and Metabolism 138
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Citations per year

Countries citing papers authored by M.R.V. Murthy

Since Specialization
Citations

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

Fields of papers citing papers by M.R.V. Murthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1968194
2 1990152
3 200588
4 196582
5 196673
6 200455
7 197853
8 197247
9 196539
10 199530
11 196327
12 196626
13 197225
14 198423
15 196321
16 198517
17 197917
18 197815
19 196314
20 199414

About M.R.V. Murthy

M.R.V. Murthy is a scholar working on Molecular Biology, Clinical Biochemistry, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Spectroscopy, having authored 71 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (18 papers), Metabolism and Genetic Disorders (9 papers), RNA modifications and cancer (8 papers), Lipid metabolism and disorders (6 papers), DNA and Nucleic Acid Chemistry (6 papers), DNA Repair Mechanisms (5 papers), Chemical Synthesis and Analysis (5 papers) and Mass Spectrometry Techniques and Applications (5 papers). The work is most often cited by research in Applied Mathematics (172 citations), Biochemistry (106 citations), Clinical Biochemistry (82 citations), Computational Theory and Mathematics (162 citations) and Endocrinology, Diabetes and Metabolism (138 citations). M.R.V. Murthy has collaborated with scholars based in Canada, United States and India. Frequent co-authors include G. Stampacchia, D.A. Rappoport, Marc-Édouard Mirault, Alexandre Patenaude, Pierre Julien, G. H. Rao, Hans-W. Ackermann, Heather Henderson, Ghislaine O. Roederer and T. Bruin. Their work appears in journals such as Analytical Biochemistry, Journal of Neurochemistry, Journal of Economic Entomology, Atherosclerosis and Canadian Journal of Microbiology.

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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