Nobutoshi Sugiyama
- Cardiology and Cardiovascular Medicine top 5%
- Internal Medicine top 2%
- Hematology top 5%
- Molecular Biology
- Surgery
- Co-authors
- Taketoshi FurugohriToshiro ShibanoY MorishimaYuko HondaTakayasu NagaharaK. IsobeIgor F. TsigelnySteven M. Sine
- Topics
- Blood Coagulation and Thrombosis Mechanisms (9 papers)Atrial Fibrillation Management and Outcomes (6 papers)Protease and Inhibitor Mechanisms (4 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Nobutoshi Sugiyama
17 papers receiving 542 citations
Peers
Comparison fields: 5 of 72
- Cardiology and Cardiovascular Medicine 305
- Internal Medicine 199
- Hematology 172
- Molecular Biology 128
- Surgery 60
Countries citing papers authored by Nobutoshi Sugiyama
This map shows the geographic impact of Nobutoshi 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 Nobutoshi Sugiyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobutoshi Sugiyama more than expected).
Fields of papers citing papers by Nobutoshi Sugiyama
This network shows the impact of papers produced by Nobutoshi 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 Nobutoshi Sugiyama. The network helps show where Nobutoshi Sugiyama may publish in the future.
Co-authorship network of co-authors of Nobutoshi Sugiyama
This figure shows the co-authorship network connecting the top 25 collaborators of Nobutoshi Sugiyama. A scholar is included among the top collaborators of Nobutoshi 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 Nobutoshi Sugiyama. Nobutoshi 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 | 49 | |
| 3 | 246 | |
| 4 | 3 | |
| 5 | 34 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 14 | |
| 9 | 6 | |
| 10 | 28 | |
| 11 | [Low-dose levodopa therapy of autistic disorder: evaluation of clinical effectiveness]. | 4 |
| 12 | 71 | |
| 13 | Immunohistochemical distribution of lipoprotein epitopes in xanthomata from patients with familial hypercholesterolemia. | 21 |
| 14 | 45 | |
| 15 | 15 | |
| 16 | 5 | |
| 17 | 1 |
About Nobutoshi Sugiyama
Nobutoshi Sugiyama is a scholar working on Hematology, Internal Medicine and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 553 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (9 papers), Atrial Fibrillation Management and Outcomes (6 papers) and Protease and Inhibitor Mechanisms (4 papers). The work is most often cited by research in Internal Medicine (199 citations), Hematology (172 citations) and Cardiology and Cardiovascular Medicine (305 citations). Nobutoshi Sugiyama has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Taketoshi Furugohri, Toshiro Shibano, Y Morishima, Yuko Honda, Takayasu Nagahara, K. Isobe, Igor F. Tsigelny, Steven M. Sine, Palmer Taylor and Yasushi Abiko. Their work appears in journals such as Blood, Biophysical Journal and European Journal of Pharmacology.
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.