Thomas Netticadan
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Physiology top 10%
- Pathology and Forensic Medicine top 10%
- Biochemistry top 2%
- Co-authors
- Rana M. TemsahNaranjan S. DhallaLiping YuVincenzo PanagiaVijayan ElimbanDonald ChapmanKen‐ichi KawabataMitsuru Osada
- Topics
- Cardiac Ischemia and Reperfusion (4 papers)Cardiac electrophysiology and arrhythmias (3 papers)Neuroscience and Neuropharmacology Research (2 papers)
- Journals
- Biochemical and Biophysical Research CommunicationsJournal of Pharmacology and Experimental TherapeuticsLife Sciences
- Partner nations
- Canada
In The Last Decade
Thomas Netticadan
7 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Molecular Biology 478
- Cardiology and Cardiovascular Medicine 328
- Physiology 264
- Pathology and Forensic Medicine 208
- Biochemistry 188
Countries citing papers authored by Thomas Netticadan
This map shows the geographic impact of Thomas Netticadan'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 Thomas Netticadan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Netticadan more than expected).
Fields of papers citing papers by Thomas Netticadan
This network shows the impact of papers produced by Thomas Netticadan. 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 Thomas Netticadan. The network helps show where Thomas Netticadan may publish in the future.
Co-authorship network of co-authors of Thomas Netticadan
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Netticadan. A scholar is included among the top collaborators of Thomas Netticadan 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 Thomas Netticadan. Thomas Netticadan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Effect of beta-adrenoceptor blockers on sarcoplasmic reticular function and gene expression in the ischemic-reperfused heart. | 30 |
| 2 | Role of oxidative stress in cardiovascular diseasesbreakdown → | 1196 |
| 3 | 7 | |
| 4 | 22 | |
| 5 | 11 | |
| 6 | 49 | |
| 7 | 11 |
About Thomas Netticadan
Thomas Netticadan is a scholar working on Developmental Neuroscience, Pathology and Forensic Medicine and Clinical Biochemistry, having authored 7 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (4 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Biochemistry (188 citations), Cardiology and Cardiovascular Medicine (328 citations) and Pathology and Forensic Medicine (208 citations). Thomas Netticadan has collaborated with scholars based in Canada. Frequent co-authors include Rana M. Temsah, Naranjan S. Dhalla, Liping Yu, Vincenzo Panagia, Naranjan S. Dhalla, Vijayan Elimban, Donald Chapman, Ken‐ichi Kawabata, Mitsuru Osada and Kiminori Kato. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Pharmacology and Experimental Therapeutics and Life Sciences.
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.