Takeshi Horio
- Cardiology and Cardiovascular Medicine top 0.5%
- Molecular Biology top 2%
- Physiology top 1%
- Cellular and Molecular Neuroscience top 1%
- Pulmonary and Respiratory Medicine top 2%
- Co-authors
- Yuhei KawanoFumiki YoshiharaKenji KangawaMasakazu KohnoKoji YokokawaToshio NishikimiHiroyuki OkamotoKiichiro Danno
- Topics
- Neuropeptides and Animal Physiology (35 papers)Heart Failure Treatment and Management (34 papers)Receptor Mechanisms and Signaling (32 papers)
- Partner nations
- JapanUnited StatesNew Zealand
In The Last Decade
Takeshi Horio
302 papers receiving 9.6k citations
Peers
Comparison fields: 5 of 153
- Cardiology and Cardiovascular Medicine 3.2k
- Molecular Biology 2.9k
- Physiology 1.5k
- Cellular and Molecular Neuroscience 1.4k
- Pulmonary and Respiratory Medicine 1.3k
Countries citing papers authored by Takeshi Horio
This map shows the geographic impact of Takeshi Horio'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 Takeshi Horio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Horio more than expected).
Fields of papers citing papers by Takeshi Horio
This network shows the impact of papers produced by Takeshi Horio. 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 Takeshi Horio. The network helps show where Takeshi Horio may publish in the future.
Co-authorship network of co-authors of Takeshi Horio
This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Horio. A scholar is included among the top collaborators of Takeshi Horio 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 Takeshi Horio. Takeshi Horio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 91 | |
| 3 | 7 | |
| 4 | OE-136 Prognostic Value of Combination of Adrenomedullin and Brain Natriuretic Peptide in Patients with Stable Cardiovasculer Disease(OE23,Heart Failure (Pathophysiology) (M),Oral Presentation (English),The 73rd Annual Scientific Meeting of The Japanese Circulation Society) | 8 |
| 5 | 3 | |
| 6 | 16 | |
| 7 | 63 | |
| 8 | 29 | |
| 9 | 17 | |
| 10 | 19 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 2 | |
| 18 | 0 | |
| 19 | 0 | |
| 20 | 12 |
About Takeshi Horio
Takeshi Horio is a scholar working on Dermatology, Cardiology and Cardiovascular Medicine and Immunology and Allergy, having authored 308 papers that have together received 10.0k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (35 papers), Heart Failure Treatment and Management (34 papers) and Receptor Mechanisms and Signaling (32 papers). The work is most often cited by research in Dermatology (1.3k citations), Cardiology and Cardiovascular Medicine (3.2k citations) and Nephrology (626 citations). Takeshi Horio has collaborated with scholars based in Japan, United States and New Zealand. Frequent co-authors include Yuhei Kawano, Fumiki Yoshihara, Kenji Kangawa, Masakazu Kohno, Koji Yokokawa, Toshio Nishikimi, Hiroyuki Okamoto, Kiichiro Danno, Tadanao Takeda and Shuichi Takishita. Their work appears in journals such as Nature, Circulation and The Journal of Immunology.
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.