Muthukrishnan Renganathan
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Neurology top 5%
- Co-authors
- Stephen G. WaxmanTheodore CumminsOsvaldo DelbonoMarı́a Laura MessiSulayman D. Dib‐HajjJoel A. BlackRaimund I. HerzogFabio Aglieco
- Topics
- Ion channel regulation and function (25 papers)Neuroscience and Neuropharmacology Research (8 papers)Photosynthetic Processes and Mechanisms (8 papers)
- Partner nations
- United StatesIndia
In The Last Decade
Muthukrishnan Renganathan
42 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 1.9k
- Cellular and Molecular Neuroscience 1.0k
- Physiology 965
- Cardiology and Cardiovascular Medicine 284
- Neurology 228
Countries citing papers authored by Muthukrishnan Renganathan
This map shows the geographic impact of Muthukrishnan Renganathan'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 Muthukrishnan Renganathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muthukrishnan Renganathan more than expected).
Fields of papers citing papers by Muthukrishnan Renganathan
This network shows the impact of papers produced by Muthukrishnan Renganathan. 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 Muthukrishnan Renganathan. The network helps show where Muthukrishnan Renganathan may publish in the future.
Co-authorship network of co-authors of Muthukrishnan Renganathan
This figure shows the co-authorship network connecting the top 25 collaborators of Muthukrishnan Renganathan. A scholar is included among the top collaborators of Muthukrishnan Renganathan 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 Muthukrishnan Renganathan. Muthukrishnan Renganathan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 14 | |
| 3 | 72 | |
| 4 | 129 | |
| 5 | 69 | |
| 6 | 39 | |
| 7 | 107 | |
| 8 | 91 | |
| 9 | 10 | |
| 10 | 85 | |
| 11 | 40 | |
| 12 | 23 | |
| 13 | 85 | |
| 14 | 36 | |
| 15 | 32 | |
| 16 | 126 | |
| 17 | 60 | |
| 18 | 13 | |
| 19 | 59 | |
| 20 | 17 |
About Muthukrishnan Renganathan
Muthukrishnan Renganathan is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Aging, having authored 42 papers that have together received 2.5k indexed citations. Recurring topics across this work include Ion channel regulation and function (25 papers), Neuroscience and Neuropharmacology Research (8 papers) and Photosynthetic Processes and Mechanisms (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.0k citations), Sensory Systems (182 citations) and Physiology (965 citations). Muthukrishnan Renganathan has collaborated with scholars based in United States and India. Frequent co-authors include Stephen G. Waxman, Theodore Cummins, Osvaldo Delbono, Marı́a Laura Messi, Sulayman D. Dib‐Hajj, Joel A. Black, Raimund I. Herzog, Fabio Aglieco, Richard A. Dilley and Matthew Craner. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and Neurology.
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.