Teruo Nakadate

2.6k total citations
89 papers, 2.2k citations indexed

About

Teruo Nakadate is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Teruo Nakadate has authored 89 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 19 papers in Cellular and Molecular Neuroscience and 14 papers in Surgery. Recurrent topics in Teruo Nakadate's work include Receptor Mechanisms and Signaling (18 papers), Polyamine Metabolism and Applications (14 papers) and Neuropeptides and Animal Physiology (13 papers). Teruo Nakadate is often cited by papers focused on Receptor Mechanisms and Signaling (18 papers), Polyamine Metabolism and Applications (14 papers) and Neuropeptides and Animal Physiology (13 papers). Teruo Nakadate collaborates with scholars based in Japan, United States and Switzerland. Teruo Nakadate's co-authors include Ryuichi Kato, Satoshi Yamamoto, Toshio Nakaki, Eriko Aizu, Peter M. Blumberg, Ryuichi Kato, Takamura Muraki, Arco Y. Jeng, Takashi Sügimura and Ritsushi Kato and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Biochemical and Biophysical Research Communications.

In The Last Decade

Teruo Nakadate

88 papers receiving 2.1k citations

Peers

Teruo Nakadate
Comparison fields: 5 of 109
  • Molecular Biology 1.3k
  • Surgery 383
  • Cellular and Molecular Neuroscience 331
  • Physiology 315
  • Pharmacology 296
Replace Rosella Fulceri with:
Rosella Fulceri Italy
Kenichi Kitani Japan
Mark D. Leibowitz United States
Jaume Farrés Spain
F.A. Fitzpatrick United States
Shingo Yano Japan
Bin‐Nan Wu Taiwan
Ivana Serraino Italy
Valentin Gorboulev Germany
Steyner F. Côrtes Brazil
Rosella Fulceri Italy View profile →
Citations per field, relative to Teruo Nakadate
Teruo Nakadate · 1×
Citations per year, relative to Teruo Nakadate
Teruo Nakadate · 1×

Countries citing papers authored by Teruo Nakadate

Since Specialization
Citations

This map shows the geographic impact of Teruo Nakadate'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 Teruo Nakadate with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teruo Nakadate more than expected).

Fields of papers citing papers by Teruo Nakadate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Teruo Nakadate. 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 Teruo Nakadate. The network helps show where Teruo Nakadate may publish in the future.

Co-authorship network of co-authors of Teruo Nakadate

This figure shows the co-authorship network connecting the top 25 collaborators of Teruo Nakadate. A scholar is included among the top collaborators of Teruo Nakadate 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 Teruo Nakadate. Teruo Nakadate is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2
The Genotype of CYP2D6 Determines Cardiac Responsiveness to β-adrenergic Stimulation in patients Treated with Metoprolol, but not with Bisoprolol
3
3 12
4 8
5 1
6 15
7 13
8 32
9 99
10 12
11 22
12 41
13 45
14 14
15 5
16 177
17 7
18 8
19 82
20 6

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.

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2026