Koichi Yamaguchi
- Pulmonary and Respiratory Medicine top 5%
- Neurology top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery top 10%
- Nephrology top 2%
- Co-authors
- Hitoshi KatayamaKazuki MatsuuraT TakashimaP SeezTakenori KozukaTetsuo GotohTakaaki HosoyaTamami Haku
- Topics
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (10 papers)Asthma and respiratory diseases (9 papers)Advancements in PLL and VCO Technologies (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of ImmunologyNeurology
- Partner nations
- JapanUnited StatesPoland
In The Last Decade
Koichi Yamaguchi
106 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Pulmonary and Respiratory Medicine 549
- Neurology 495
- Radiology, Nuclear Medicine and Imaging 412
- Surgery 371
- Nephrology 292
Countries citing papers authored by Koichi Yamaguchi
This map shows the geographic impact of Koichi 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 Koichi Yamaguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Yamaguchi more than expected).
Fields of papers citing papers by Koichi Yamaguchi
This network shows the impact of papers produced by Koichi 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 Koichi Yamaguchi. The network helps show where Koichi Yamaguchi may publish in the future.
Co-authorship network of co-authors of Koichi Yamaguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Yamaguchi. A scholar is included among the top collaborators of Koichi 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 Koichi Yamaguchi. Koichi 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 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | Smart Grid Optimization by Deep Reinforcement Learning over Discrete and Continuous Action Space | 5 |
| 6 | Hybrid Policy Gradient for Deep Reinforcement Learning | 1 |
| 7 | Epicutaneous Immunotherapy for Food Allergy: A Randomized, Double-Blind, Placebo-Controlled Cross-Over Study | 0 |
| 8 | 10 | |
| 9 | 32 | |
| 10 | 56 | |
| 11 | 11 | |
| 12 | 20 | |
| 13 | 27 | |
| 14 | 20 | |
| 15 | 9 | |
| 16 | 43 | |
| 17 | 27 | |
| 18 | 1 | |
| 19 | Neuroradiological diagnosis of trigeminal neuralgia and hemifacial spasm | 1 |
| 20 | 15 |
About Koichi Yamaguchi
Koichi Yamaguchi is a scholar working on Neurology, Internal Medicine and Nephrology, having authored 114 papers that have together received 2.9k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (10 papers), Asthma and respiratory diseases (9 papers) and Advancements in PLL and VCO Technologies (8 papers). The work is most often cited by research in Nephrology (292 citations), Immunology and Allergy (215 citations) and Neurology (495 citations). Koichi Yamaguchi has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Hitoshi Katayama, Kazuki Matsuura, T Takashima, P Seez, Takenori Kozuka, Tetsuo Gotoh, Takaaki Hosoya, Tamami Haku, Takeo Kato and Masayoshi Kowada. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Neurology.
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.