Yasuo Terayama

5.8k total citations
145 papers, 3.9k citations indexed

About

Yasuo Terayama is a scholar working on Neurology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yasuo Terayama has authored 145 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Neurology, 34 papers in Epidemiology and 32 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yasuo Terayama's work include Cerebrovascular and Carotid Artery Diseases (29 papers), Acute Ischemic Stroke Management (24 papers) and Neurological Disease Mechanisms and Treatments (16 papers). Yasuo Terayama is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (29 papers), Acute Ischemic Stroke Management (24 papers) and Neurological Disease Mechanisms and Treatments (16 papers). Yasuo Terayama collaborates with scholars based in Japan, United States and Australia. Yasuo Terayama's co-authors include John Stirling Meyer, Chiaki Isobe, Makoto Sasaki, Jun Kawamura, Takashi Abe, Junko Takahashi, Susan Weathers, Chigumi Ohtsuka, Satoshi Takahashi and Tatsunori Murata and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Yasuo Terayama

138 papers receiving 3.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yasuo Terayama Japan 35 1.4k 735 658 652 587 145 3.9k
Peter Kapeller Austria 33 1.6k 1.1× 1.1k 1.5× 566 0.9× 962 1.5× 387 0.7× 55 4.0k
Hiroshi Yamauchi Japan 37 1.2k 0.8× 1.1k 1.4× 1.3k 1.9× 1.1k 1.8× 341 0.6× 149 4.8k
Mitsuhiro Yoshita Japan 33 1.2k 0.8× 551 0.7× 581 0.9× 699 1.1× 704 1.2× 70 3.6k
Reinhold Schmidt Austria 30 962 0.7× 629 0.9× 600 0.9× 582 0.9× 354 0.6× 80 3.1k
Fumio Gotoh Japan 32 1.2k 0.8× 647 0.9× 506 0.8× 509 0.8× 625 1.1× 141 3.1k
L. Creed Pettigrew United States 35 1.2k 0.8× 1.4k 2.0× 982 1.5× 239 0.4× 611 1.0× 84 5.7k
H. Radner Austria 26 526 0.4× 633 0.9× 553 0.8× 647 1.0× 807 1.4× 65 3.6k
Saima Hilal Singapore 39 909 0.6× 652 0.9× 641 1.0× 1.3k 2.0× 328 0.6× 205 4.5k
Setsuro Ibayashi Japan 39 1.5k 1.0× 1.7k 2.3× 1.2k 1.8× 358 0.5× 1.3k 2.2× 239 6.2k
Antoine M. Hakim Canada 35 980 0.7× 762 1.0× 421 0.6× 247 0.4× 296 0.5× 95 4.7k

Countries citing papers authored by Yasuo Terayama

Since Specialization
Citations

This map shows the geographic impact of Yasuo Terayama'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 Yasuo Terayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuo Terayama more than expected).

Fields of papers citing papers by Yasuo Terayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yasuo Terayama. 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 Yasuo Terayama. The network helps show where Yasuo Terayama may publish in the future.

Co-authorship network of co-authors of Yasuo Terayama

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuo Terayama. A scholar is included among the top collaborators of Yasuo Terayama 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 Yasuo Terayama. Yasuo Terayama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shimizu, Mie, et al.. (2021). Influence of PAR-1 in patients with non-valvular atrial fibrillation: The antiplatelet effect of dabigatran. Thrombosis Research. 201. 123–130. 4 indexed citations
2.
Ito, Kenji, Chigumi Ohtsuka, Kunihiro Yoshioka, et al.. (2019). Differentiation Between Multiple System Atrophy and Other Spinocerebellar Degenerations Using Diffusion Kurtosis Imaging. Academic Radiology. 26(11). e333–e339. 7 indexed citations
3.
Narumi, Shinsuke, Haruna Miyazawa, Hisashi Yonezawa, et al.. (2016). Case of McLeod syndrome with a novel genetic mutation. Neurology and Clinical Neuroscience. 4(3). 115–117. 2 indexed citations
4.
Sasaki, Makoto, Kohei Ito, Hideki Ohba, et al.. (2016). Intracranial Plaque Characterization in Patients with Acute Ischemic Stroke Using Pre- and Post-Contrast Three-Dimensional Magnetic Resonance Vessel Wall Imaging. Journal of Stroke and Cerebrovascular Diseases. 25(6). 1425–1430. 14 indexed citations
5.
Narumi, Shinsuke, Makoto Sasaki, Haruna Miyazawa, et al.. (2016). T1-Weighted Magnetic Resonance Carotid Plaque Imaging: a Comparison between Conventional and Fast Spin-Echo Techniques. Journal of Stroke and Cerebrovascular Diseases. 26(2). 273–279. 2 indexed citations
6.
Ito, Kenji, Masako Kudo, Makoto Sasaki, et al.. (2015). Detection of changes in the periaqueductal gray matter of patients with episodic migraine using quantitative diffusion kurtosis imaging: preliminary findings. Neuroradiology. 58(2). 115–120. 25 indexed citations
7.
Sasaki, Makoto, Hideki Ohba, Shinsuke Narumi, et al.. (2014). Detection of Vessel Wall Lesions in Spontaneous Symptomatic Vertebrobasilar Artery Dissection Using T1-weighted 3-dimensional Imaging. Journal of Stroke and Cerebrovascular Diseases. 23(9). 2419–2424. 24 indexed citations
8.
Sasaki, Makoto, et al.. (2014). Carotid Plaque Characteristics on Magnetic Resonance Plaque Imaging Following Long-term Cilostazol Therapy. Journal of Stroke and Cerebrovascular Diseases. 23(9). 2425–2430. 5 indexed citations
9.
Zou, Kun, Junjun Liu, Atsushi Watanabe, et al.. (2013). Aβ43 Is the Earliest-Depositing Aβ Species in APP Transgenic Mouse Brain and Is Converted to Aβ41 by Two Active Domains of ACE. American Journal Of Pathology. 182(6). 2322–2331. 40 indexed citations
10.
Narumi, Shinsuke, Makoto Sasaki, Hiroyuki Ohba, et al.. (2013). Predicting Carotid Plaque Characteristics Using Quantitative Color-Coded T1-Weighted MR Plaque Imaging: Correlation with Carotid Endarterectomy Specimens. American Journal of Neuroradiology. 35(4). 766–771. 18 indexed citations
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Nagane, Yuriko, et al.. (2005). Efficacy of Low-Dose FK506 in the Treatment of Myasthenia gravis – A Randomized Pilot Study. European Neurology. 53(3). 146–150. 77 indexed citations
14.
Gotoh, Fumio, Yasuo Terayama, & Takahiro Amano. (2001). Development of a Novel, Weighted, Quantifiable Stroke Scale. Stroke. 32(8). 1800–1807. 32 indexed citations
15.
Meyer, John Stirling, et al.. (1998). Risk Factors for Cerebral Degenerative Changes and Dementia. European Neurology. 39(Suppl. 1). 7–16. 29 indexed citations
16.
Meyer, JS, et al.. (1998). Age-Related Cerebrovascular Disease Alters the Symptomatic Course of Migraine. Cephalalgia. 18(4). 202–208. 15 indexed citations
17.
Takashima, Shutaro, et al.. (1994). CT changes associated with normal aging of the human brain. Journal of the Neurological Sciences. 123(1-2). 200–208. 34 indexed citations
18.
Tomita, Minoru, Fumio Gotoh, Norio Tanahashi, et al.. (1990). Diffusion of Oxygen and Hydrogen Gas is Faster Through a Layer of Suspended Cultured C6 Cells than Through the Medium. Advances in experimental medicine and biology. 277. 115–120.
19.
Kumagai, Masahiko, et al.. (1987). Effects of Aspirin on the Cochlear Nerve Excitability. 18(1). 53–55.
20.

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.

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