S. N. Prasanna Murthy
- Cell Biology top 2%
- Skin and Cellular Biology Research 6
- Hemoglobin structure and function 3
- Physiology top 5%
- Erythrocyte Function and Pathophysiology 12
- Alzheimer's disease research and treatments 3
-
- Blood properties and coagulation 26
- Hematology top 5%
- Platelet Disorders and Treatments 3
- Molecular Biology top 10%
-
- Liver physiology and pathology 4
-
- Hibiscus Plant Research Studies 2
- Co-authors
- L. LórándTheodore L. SteckI-Hsun TsaiRajinder KaulHeinz KöhlerRobert D. GoldmanPauline T. VelascoJ. H. P. Wilson
- Journals
- Proceedings of the National Academy of Sciences (10 papers)Journal of Biological Chemistry (8 papers)Biochemical and Biophysical Research Communications (4 papers)
- Partner nations
- United StatesAustraliaRussia
In The Last Decade
S. N. Prasanna Murthy
46 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 102
- Cell Biology 578
- Physiology 597
- Pulmonary and Respiratory Medicine 701
- Hematology 151
- Molecular Biology 771
Countries citing papers authored by S. N. Prasanna Murthy
This map shows the geographic impact of S. N. Prasanna 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 S. N. Prasanna Murthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. N. Prasanna Murthy more than expected).
Fields of papers citing papers by S. N. Prasanna Murthy
This network shows the impact of papers produced by S. N. Prasanna 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 S. N. Prasanna Murthy. The network helps show where S. N. Prasanna Murthy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside S. N. Prasanna Murthy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 94 | |
| 2 | 2012 | 1 | |
| 3 | 2011 | 207 | |
| 4 | 2011 | 61 | |
| 5 | 2011 | 3 | |
| 6 | 2010 | 22 | |
| 7 | 2010 | 13 | |
| 8 | 2010 | 79 | |
| 9 | 2006 | 16 | |
| 10 | 2001 | 130 | |
| 11 | 2000 | 29 | |
| 12 | 1999 | 37 | |
| 13 | 1998 | 15 | |
| 14 | 1998 | 43 | |
| 15 | 1998 | 61 | |
| 16 | 1997 | 23 | |
| 17 | 1993 | 69 | |
| 18 | 1992 | 14 | |
| 19 | 1992 | 3 | |
| 20 | 1982 | 184 |
About S. N. Prasanna Murthy
S. N. Prasanna Murthy is a scholar working on Pulmonary and Respiratory Medicine, Cell Biology and Physiology, having authored 46 papers that have together received 2.1k indexed citations. Recurring topics across this work include Blood properties and coagulation (26 papers), Erythrocyte Function and Pathophysiology (12 papers), Skin and Cellular Biology Research (6 papers), Liver physiology and pathology (4 papers), Alzheimer's disease research and treatments (3 papers), Platelet Disorders and Treatments (3 papers), Hemoglobin structure and function (3 papers) and Hibiscus Plant Research Studies (2 papers). The work is most often cited by research in Cell Biology (578 citations), Physiology (597 citations) and Pulmonary and Respiratory Medicine (701 citations). S. N. Prasanna Murthy has collaborated with scholars based in United States, Australia and Russia. Frequent co-authors include L. Lóránd, Theodore L. Steck, I-Hsun Tsai, Rajinder Kaul, Heinz Köhler, Robert D. Goldman, Pauline T. Velasco, J. H. P. Wilson, Jon W. Lomasney and James T. Radek. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Bioorganic & Medicinal Chemistry Letters and Experimental Eye 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.