Y Sugiyama
- Oncology top 10%
- Pharmacology top 1%
- Pulmonary and Respiratory Medicine top 10%
- Immunology
- Surgery
- Co-authors
- Katsuhisa OshikawaTakeshi IwatsuboShin‐ichi KanamitsuYukiko NakajimaKen ItoKen YanagisawaShoji KudohHajime Maeda
- Topics
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers)Asthma and respiratory diseases (5 papers)Drug Transport and Resistance Mechanisms (4 papers)
- Cited by
- PharmacologyOncologyImmunology
- Journals
- Journal of Pharmacology and Experimental TherapeuticsThe Annual Review of Pharmacology and ToxicologyEuropean Respiratory Journal
- Partner nations
- JapanUnited States
In The Last Decade
Y Sugiyama
25 papers receiving 885 citations
Peers
Comparison fields: 5 of 87
- Oncology 302
- Pharmacology 284
- Pulmonary and Respiratory Medicine 220
- Immunology 205
- Surgery 140
Countries citing papers authored by Y Sugiyama
This map shows the geographic impact of Y Sugiyama'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 Y Sugiyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y Sugiyama more than expected).
Fields of papers citing papers by Y Sugiyama
This network shows the impact of papers produced by Y Sugiyama. 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 Y Sugiyama. The network helps show where Y Sugiyama may publish in the future.
Co-authorship network of co-authors of Y Sugiyama
This figure shows the co-authorship network connecting the top 25 collaborators of Y Sugiyama. A scholar is included among the top collaborators of Y Sugiyama 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 Y Sugiyama. Y Sugiyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 28 | |
| 4 | 34 | |
| 5 | 84 | |
| 6 | 20 | |
| 7 | 13 | |
| 8 | 0 | |
| 9 | 24 | |
| 10 | 126 | |
| 11 | 47 | |
| 12 | 33 | |
| 13 | 13 | |
| 14 | 2 | |
| 15 | 27 | |
| 16 | 5 | |
| 17 | 41 | |
| 18 | 12 | |
| 19 | 100 | |
| 20 | [Angiotensin I converting enzyme activity in patients with spontaneous pneumothorax and in rabbits with artificial pneumothorax (author's transl)]. | 1 |
About Y Sugiyama
Y Sugiyama is a scholar working on Health Informatics, Pharmacology and Oncology, having authored 27 papers that have together received 912 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers), Asthma and respiratory diseases (5 papers) and Drug Transport and Resistance Mechanisms (4 papers). The work is most often cited by research in Pharmacology (284 citations), Oncology (302 citations) and Immunology (205 citations). Y Sugiyama has collaborated with scholars based in Japan and United States. Frequent co-authors include Katsuhisa Oshikawa, Takeshi Iwatsubo, Shin‐ichi Kanamitsu, Yukiko Nakajima, Ken Ito, Ken Yanagisawa, Shoji Kudoh, Hajime Maeda, Harumi Suzaki and Fumimaro Takaku. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, The Annual Review of Pharmacology and Toxicology and European Respiratory Journal.
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.