Tsuyoshi Uchiyama
- Molecular Biology
- Physiology
- Neurology top 10%
- Cardiology and Cardiovascular Medicine
- Cancer Research
- Co-authors
- Masahiko KurabayashiYoshio OhyamaRyozo NagaiKensaku KasugaTakeshi IkeuchiShoji KawazuToshihiro UtsugiMasashi Arai
- Topics
- Parkinson's Disease Mechanisms and Treatments (5 papers)Neurological disorders and treatments (4 papers)Angiogenesis and VEGF in Cancer (3 papers)
- Cited by
- NeurologyPhysiologyCancer Research
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONECirculation Research
- Partner nations
- Japan
In The Last Decade
Tsuyoshi Uchiyama
35 papers receiving 623 citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 244
- Physiology 170
- Neurology 149
- Cardiology and Cardiovascular Medicine 75
- Cancer Research 74
Countries citing papers authored by Tsuyoshi Uchiyama
This map shows the geographic impact of Tsuyoshi Uchiyama'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 Tsuyoshi Uchiyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsuyoshi Uchiyama more than expected).
Fields of papers citing papers by Tsuyoshi Uchiyama
This network shows the impact of papers produced by Tsuyoshi Uchiyama. 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 Tsuyoshi Uchiyama. The network helps show where Tsuyoshi Uchiyama may publish in the future.
Co-authorship network of co-authors of Tsuyoshi Uchiyama
This figure shows the co-authorship network connecting the top 25 collaborators of Tsuyoshi Uchiyama. A scholar is included among the top collaborators of Tsuyoshi Uchiyama 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 Tsuyoshi Uchiyama. Tsuyoshi Uchiyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 24 | |
| 5 | Detection of back magneto-cardiogram for heart disease using pico-Tesla resolution amorphous wire magneto-impedance sensor | 2 |
| 6 | 2 | |
| 7 | [Clinical efficacy of the novel antiepileptic agent levetiracetam: evaluation in patients with localization-related epilepsy]. | 0 |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 110 | |
| 11 | 3 | |
| 12 | 9 | |
| 13 | 30 | |
| 14 | 23 | |
| 15 | 5 | |
| 16 | 4 | |
| 17 | Transcriptional Stimulation of eNOS Gene by Beraprost Sodium, a Prostacyclin Analogue, Is Mediated through cAMP-Responsive Element in Vascular Endothelial Cells | 1 |
| 18 | 13 | |
| 19 | 41 | |
| 20 | 15 |
About Tsuyoshi Uchiyama
Tsuyoshi Uchiyama is a scholar working on Neurology, Physiology and Psychiatry and Mental health, having authored 40 papers that have together received 637 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (5 papers), Neurological disorders and treatments (4 papers) and Angiogenesis and VEGF in Cancer (3 papers). The work is most often cited by research in Neurology (149 citations), Physiology (170 citations) and Cancer Research (74 citations). Tsuyoshi Uchiyama has collaborated with scholars based in Japan. Frequent co-authors include Masahiko Kurabayashi, Yoshio Ohyama, Ryozo Nagai, Kensaku Kasuga, Takeshi Ikeuchi, Shoji Kawazu, Toshihiro Utsugi, Masashi Arai, Masatoyo Nishizawa and Takayoshi Tokutake. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Circulation Research.
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.