S Krishnamurthi
- Molecular Biology
- Hematology top 10%
- Genetics top 10%
- Pharmacology
- Physiology
- Co-authors
- Vijay V. KakkarV V KakkarSunil JosephJohn WestwickCaroline Wheeler‐JonesYatin PatelEllis EllisGary F. Marks
- Topics
- Platelet Disorders and Treatments (7 papers)Antiplatelet Therapy and Cardiovascular Diseases (7 papers)Protein Kinase Regulation and GTPase Signaling (7 papers)
- Cited by
- HematologyGeneticsPharmacology
- Journals
- SHILAP Revista de lepidopterologíaBiochemical JournalBiochemical and Biophysical Research Communications
- Partner nations
- United KingdomUnited StatesMalaysia
In The Last Decade
S Krishnamurthi
25 papers receiving 338 citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 176
- Hematology 117
- Genetics 82
- Pharmacology 68
- Physiology 67
Countries citing papers authored by S Krishnamurthi
This map shows the geographic impact of S Krishnamurthi'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 Krishnamurthi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Krishnamurthi more than expected).
Fields of papers citing papers by S Krishnamurthi
This network shows the impact of papers produced by S Krishnamurthi. 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 Krishnamurthi. The network helps show where S Krishnamurthi may publish in the future.
Co-authorship network of co-authors of S Krishnamurthi
This figure shows the co-authorship network connecting the top 25 collaborators of S Krishnamurthi. A scholar is included among the top collaborators of S Krishnamurthi 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 S Krishnamurthi. S Krishnamurthi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 19 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | Cardiomyopathy in pregnancy: 2 case reports. | 2 |
| 6 | 24 | |
| 7 | 2 | |
| 8 | 14 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | 18 | |
| 12 | 13 | |
| 13 | 2 | |
| 14 | 20 | |
| 15 | 18 | |
| 16 | Effect of the polyamine-spermine on agonist-induced human platelet activation--specific inhibition of "aggregation-independent" events induced by thrombin, but not by collagen, thromboxane mimetic, phorbol ester or calcium ionophore. | 19 |
| 17 | 16 | |
| 18 | 35 | |
| 19 | 1 | |
| 20 | Platelet activation during steady state sickle cell disease. | 57 |
About S Krishnamurthi
S Krishnamurthi is a scholar working on Hematology, Pharmacology and Genetics, having authored 26 papers that have together received 357 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (7 papers), Antiplatelet Therapy and Cardiovascular Diseases (7 papers) and Protein Kinase Regulation and GTPase Signaling (7 papers). The work is most often cited by research in Hematology (117 citations), Genetics (82 citations) and Pharmacology (68 citations). S Krishnamurthi has collaborated with scholars based in United Kingdom, United States and Malaysia. Frequent co-authors include Vijay V. Kakkar, V V Kakkar, Sunil Joseph, John Westwick, Caroline Wheeler‐Jones, Yatin Patel, Ellis Ellis, Gary F. Marks, Kakkar Vv and Leopoldo Raij. Their work appears in journals such as SHILAP Revista de lepidopterología, Biochemical Journal and Biochemical and Biophysical Research Communications.
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.