N. Yamaguchi
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Physiology
- Surgery
- Co-authors
- Réginald NadeauJacques de ChamplainRamez ChahineRania GaspoLouis LamarcheDaniel LamontagneKoichiro KawashimaFrançois Péronnet
- Topics
- Neuropeptides and Animal Physiology (10 papers)Cardiac Ischemia and Reperfusion (9 papers)Cardiac electrophysiology and arrhythmias (6 papers)
- Cited by
- Cardiology and Cardiovascular MedicineCellular and Molecular NeuroscienceApplied Mathematics
- Partner nations
- CanadaJapanUnited Kingdom
In The Last Decade
N. Yamaguchi
58 papers receiving 845 citations
Peers
Comparison fields: 5 of 104
- Cardiology and Cardiovascular Medicine 293
- Molecular Biology 281
- Cellular and Molecular Neuroscience 180
- Physiology 171
- Surgery 97
Countries citing papers authored by N. Yamaguchi
This map shows the geographic impact of N. Yamaguchi'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 N. Yamaguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Yamaguchi more than expected).
Fields of papers citing papers by N. Yamaguchi
This network shows the impact of papers produced by N. Yamaguchi. 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 N. Yamaguchi. The network helps show where N. Yamaguchi may publish in the future.
Co-authorship network of co-authors of N. Yamaguchi
This figure shows the co-authorship network connecting the top 25 collaborators of N. Yamaguchi. A scholar is included among the top collaborators of N. Yamaguchi 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 N. Yamaguchi. N. Yamaguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 19 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 23 | |
| 10 | 50 | |
| 11 | 24 | |
| 12 | 14 | |
| 13 | 13 | |
| 14 | 4 | |
| 15 | 9 | |
| 16 | 64 | |
| 17 | 23 | |
| 18 | 12 | |
| 19 | 6 | |
| 20 | Comparison of the malondialdehyde formation in megakaryocytes and platelets after in vivo and in vitro administration of aspirin. | 1 |
About N. Yamaguchi
N. Yamaguchi is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Applied Mathematics, having authored 60 papers that have together received 912 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (10 papers), Cardiac Ischemia and Reperfusion (9 papers) and Cardiac electrophysiology and arrhythmias (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (293 citations), Cellular and Molecular Neuroscience (180 citations) and Applied Mathematics (93 citations). N. Yamaguchi has collaborated with scholars based in Canada, Japan and United Kingdom. Frequent co-authors include Réginald Nadeau, Jacques de Champlain, Ramez Chahine, Rania Gaspo, Louis Lamarche, Daniel Lamontagne, Koichiro Kawashima, François Péronnet, A. Adam and D. Regoli. Their work appears in journals such as Gastroenterology, Circulation Research and Journal of Applied Physiology.
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.