Shailesh R. Agarwal
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Cardiology and Cardiovascular Medicine
- Cell Biology
- Computer Networks and Communications
- Co-authors
- Robert D. HarveyColleen E. ClancyRennolds S. OstromSarah CalaghanD. MacDougallTimothy JohnstoneArthur M. KellerPei‐Chi Yang
- Topics
- Receptor Mechanisms and Signaling (12 papers)Phosphodiesterase function and regulation (10 papers)Cardiac electrophysiology and arrhythmias (6 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Shailesh R. Agarwal
19 papers receiving 565 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 425
- Cellular and Molecular Neuroscience 143
- Cardiology and Cardiovascular Medicine 112
- Cell Biology 59
- Computer Networks and Communications 47
Countries citing papers authored by Shailesh R. Agarwal
This map shows the geographic impact of Shailesh R. Agarwal'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 Shailesh R. Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shailesh R. Agarwal more than expected).
Fields of papers citing papers by Shailesh R. Agarwal
This network shows the impact of papers produced by Shailesh R. Agarwal. 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 Shailesh R. Agarwal. The network helps show where Shailesh R. Agarwal may publish in the future.
Co-authorship network of co-authors of Shailesh R. Agarwal
This figure shows the co-authorship network connecting the top 25 collaborators of Shailesh R. Agarwal. A scholar is included among the top collaborators of Shailesh R. Agarwal 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 Shailesh R. Agarwal. Shailesh R. Agarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 6 | |
| 4 | 9 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 31 | |
| 8 | 79 | |
| 9 | 30 | |
| 10 | 71 | |
| 11 | 67 | |
| 12 | 19 | |
| 13 | 71 | |
| 14 | 60 | |
| 15 | 40 | |
| 16 | Integration of E-Learning and Knowledge Management. | 24 |
| 17 | 16 | |
| 18 | 3 | |
| 19 | 34 |
About Shailesh R. Agarwal
Shailesh R. Agarwal is a scholar working on Information Systems and Management, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 19 papers that have together received 583 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (12 papers), Phosphodiesterase function and regulation (10 papers) and Cardiac electrophysiology and arrhythmias (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (143 citations), Molecular Biology (425 citations) and Cardiology and Cardiovascular Medicine (112 citations). Shailesh R. Agarwal has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Robert D. Harvey, Colleen E. Clancy, Rennolds S. Ostrom, Sarah Calaghan, D. MacDougall, Timothy Johnstone, Arthur M. Keller, Pei‐Chi Yang, Darrell Woelk and Richard C. V. Tyser. Their work appears in journals such as PLoS ONE, Scientific Reports and Biophysical Journal.
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.