Hideyuki Hashimoto

1.1k citations
40 papers · 908 · h-index 15

Impact in

Papers in

Hideyuki Hashimoto

37 papers receiving 879 citations

Peers

Hideyuki Hashimoto
Comparison fields: 5 of 85
  • Radiology, Nuclear Medicine and Imaging 255
  • Endocrinology, Diabetes and Metabolism 174
  • Pathology and Forensic Medicine 160
  • Cancer Research 130
  • Otorhinolaryngology 24
Replace Baoliang Guo with:
Baoliang Guo China
Emanuela Esposito Italy
Jun–ei Obata Japan
Shuyan Du United States
Han‐Sung Kang South Korea
Wan Wook Kim South Korea
Marianna Maranghi Italy
Tommaso Fasano Italy
Therèse Heinonen Canada
Hideyuki Hashimoto relative to Baoliang Guo China Baoliang Guo's profile →
Citations per field
00.5×2.7×
Baoliang Guo · 1×
Citations per year

Countries citing papers authored by Hideyuki Hashimoto

Since Specialization
Citations

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

Fields of papers citing papers by Hideyuki Hashimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hideyuki 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 Hideyuki Hashimoto Line = papers co-authored together Hideyuki Hashimoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998199
2 1993115
3 199487
4 200569
5 199259
6 200544
7 200843
8 199837
9 201236
10 200823
11 200721
12 200820
13 200219
14 200015
15 200315
16 202313
17 202213
18 200013
19 199911
20 20218

About Hideyuki Hashimoto

Hideyuki Hashimoto is a scholar working on Cancer Research, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 40 papers that have together received 908 indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (9 papers), Breast Cancer Treatment Studies (7 papers), Lipid metabolism and disorders (5 papers), MRI in cancer diagnosis (4 papers), Medical Imaging Techniques and Applications (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Vasculitis and related conditions (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (255 citations), Endocrinology, Diabetes and Metabolism (174 citations), Pathology and Forensic Medicine (160 citations), Cancer Research (130 citations) and Otorhinolaryngology (24 citations). Hideyuki Hashimoto has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Takeshi Nagashima, Hiroshi Yagata, Nobuyuki Nakajima, Isamu Fukamachi, Masato Suzuki, Masaru Miyazaki, Junji Kobayashi, K Imazeki, Kimiichi Uno and Yasushi Saito. Their work appears in journals such as Breast Cancer, Cancer, Modern Rheumatology, Biochemical and Biophysical Research Communications and Clinica Chimica Acta.

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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