Tetsuya Hashimoto

100 papers receiving 1.4k citations

Peers

Tetsuya Hashimoto
Comparison fields: 5 of 114
  • Internal Medicine 133
  • Nephrology 112
  • Neurology 207
  • Cardiology and Cardiovascular Medicine 269
  • Epidemiology 398
Replace Ruidong Ye with:
Ruidong Ye China
Sachiro Watanabe Japan
Christian Troidl Germany
Shigeharu Takagi Japan
Sohail Q. Khan United Kingdom
Min‐Yu Lan Taiwan
Emmanuel Robin France
Fabrice Prunier France
Masaaki Uno Japan
Albert K.Y. Tsui Canada
Tetsuya Hashimoto relative to Ruidong Ye China Ruidong Ye's profile →
Citations per field
00.5×4.3×
Ruidong Ye · 1×
Citations per year

Countries citing papers authored by Tetsuya Hashimoto

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Hashimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tetsuya Hashimoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tetsuya Hashimoto Line = papers co-authored together Tetsuya Hashimoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016139
2 2010134
3 2008117
4 201142
5 200942
6 200040
7 200436
8 200435
9 201827
10
Immunohistochemical study of oncogene product ras p21, c-myc and growth factor EGF in breast carcinomas.
199227
11 201526
12 200625
13 200325
14 200423
15 200923
16 201122
17 201121
18 200619
19 201719
20 201819

About Tetsuya Hashimoto

Tetsuya Hashimoto is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Neurology, Surgery and Epidemiology, having authored 112 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (13 papers), Cardiac Imaging and Diagnostics (12 papers), Cardiovascular Function and Risk Factors (10 papers), Cerebrovascular and Carotid Artery Diseases (10 papers), Intracranial Aneurysms: Treatment and Complications (8 papers), Venous Thromboembolism Diagnosis and Management (6 papers), Dialysis and Renal Disease Management (6 papers) and Cardiac Valve Diseases and Treatments (5 papers). The work is most often cited by research in Internal Medicine (133 citations), Nephrology (112 citations), Neurology (207 citations), Cardiology and Cardiovascular Medicine (269 citations) and Epidemiology (398 citations). Tetsuya Hashimoto has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Toshihiko Ono, Jun‐ichi Kira, Hiroyuki Kobayashi, Masato Nishimura, Koji Okino, Hiroshi Yamagami, Hakuo Takahashi, Ḱazunori Toyoda, Hatsue Ishibashi‐Ueda and Mikito Hayakawa. Their work appears in journals such as Nephron Clinical Practice, Nephrology Dialysis Transplantation, Journal of Nephrology, Diseases of the Esophagus and Kidney International.

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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