Hirohumi Suzuki
- Endocrine and Autonomic Systems top 5%
- Cognitive Neuroscience top 10%
- Molecular Biology
- Cellular and Molecular Neuroscience
- Physiology
- Co-authors
- Toshiharu YamamotoHaruko UemuraTakenori YamamotoAkio KondoAya MatsumotoMaximiliano CánepaSakaé KikuyamaYuki Takemoto
- Topics
- Regulation of Appetite and Obesity (13 papers)Neuropeptides and Animal Physiology (9 papers)Sleep and Wakefulness Research (9 papers)
In The Last Decade
Hirohumi Suzuki
42 papers receiving 434 citations
Peers
Comparison fields: 5 of 76
- Endocrine and Autonomic Systems 165
- Cognitive Neuroscience 111
- Molecular Biology 110
- Cellular and Molecular Neuroscience 97
- Physiology 58
Countries citing papers authored by Hirohumi Suzuki
This map shows the geographic impact of Hirohumi Suzuki'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 Hirohumi Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hirohumi Suzuki more than expected).
Fields of papers citing papers by Hirohumi Suzuki
This network shows the impact of papers produced by Hirohumi Suzuki. 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 Hirohumi Suzuki. The network helps show where Hirohumi Suzuki may publish in the future.
Co-authorship network of co-authors of Hirohumi Suzuki
This figure shows the co-authorship network connecting the top 25 collaborators of Hirohumi Suzuki. A scholar is included among the top collaborators of Hirohumi Suzuki 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 Hirohumi Suzuki. Hirohumi Suzuki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 31 | |
| 4 | 32 | |
| 5 | 11 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | Transgenic mice expressing an intestine-specific secretory protein, IBCAP, demonstrates pancreatic beta cell augmenting activity | 1 |
| 9 | 9 | |
| 10 | 1 | |
| 11 | 17 | |
| 12 | 23 | |
| 13 | 18 | |
| 14 | 11 | |
| 15 | 21 | |
| 16 | 12 | |
| 17 | 16 | |
| 18 | 19 | |
| 19 | 19 | |
| 20 | CALCIUM SUPPLEMENT ATTENUATES BLOOD-PRESSURE INCREASE IN NACL-LOADED PATIENTS WITH ESSENTIAL-HYPERTENSION | 1 |
About Hirohumi Suzuki
Hirohumi Suzuki is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 45 papers that have together received 437 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (13 papers), Neuropeptides and Animal Physiology (9 papers) and Sleep and Wakefulness Research (9 papers). The work is most often cited by research in Endocrine and Autonomic Systems (165 citations), Cognitive Neuroscience (111 citations) and Cellular and Molecular Neuroscience (97 citations). Hirohumi Suzuki has collaborated with scholars based in Japan, Pakistan and Argentina. Frequent co-authors include Toshiharu Yamamoto, Haruko Uemura, Takenori Yamamoto, Akio Kondo, Aya Matsumoto, Maximiliano Cánepa, Sakaé Kikuyama, Yuki Takemoto, Paula G. Vissio and Yurika Miyoshi. Their work appears in journals such as Circulation, Brain Research and Diabetologia.
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.