Hiroyuki Ishida

3.2k citations
78 papers · 2.5k indexed · 1 hit paper · h-index 20

Hiroyuki Ishida

71 papers receiving 2.4k citations

Hit Papers

Primary structure and expression from complementary DNA o...9681989202620012013250500750

Peers

Hiroyuki Ishida
Comparison fields: 5 of 133
  • Physiology 178
  • Sensory Systems 119
  • Cardiology and Cardiovascular Medicine 548
  • Cellular and Molecular Neuroscience 423
  • Molecular Biology 1.4k
Replace Tommie V. McCarthy with:
Tommie V. McCarthy Ireland
Lisa Stehno‐Bittel United States
Cheng He China
Takahiro Yamada Japan
Jacques‐Antoine Haefliger Switzerland
Thomas Schaffner Switzerland
Eric W. Brunskill United States
Lynda A. Sellers United Kingdom
Frank C. Dorsey United States
M. Richard Sayen United States
Hiroyuki Ishida relative to Tommie V. McCarthy Ireland Tommie V. McCarthy's profile →
Citations per field
00.5×1.6×
Tommie V. McCarthy · 1×
Citations per year

Countries citing papers authored by Hiroyuki Ishida

Since Specialization
Citations

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

Fields of papers citing papers by Hiroyuki Ishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20250
5 20231
6 20223
7
Required Performance of Road Projection Lamp for Vehicle Reversing
20211
8
Analyzing Driver’s Gaze Behavior Influenced by Road Projection Lamp
20211
9 20211
10 201519
11 200941
12 200829
13 200729
14 200635
15 20052
16
Recognition of low-resolution characters by a generative learning method
200513
17 200351
18 199711
19 199515
20 1988140

About Hiroyuki Ishida

Hiroyuki Ishida is a scholar working on Oncology, Computer Graphics and Computer-Aided Design and Anesthesiology and Pain Medicine, having authored 78 papers that have together received 2.5k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (14 papers), Estrogen and related hormone effects (7 papers), Renal cell carcinoma treatment (5 papers), Pancreatitis Pathology and Treatment (5 papers), Synthesis and biological activity (4 papers), Synthesis of Organic Compounds (4 papers), Robotics and Sensor-Based Localization (4 papers) and Steroid Chemistry and Biochemistry (4 papers). The work is most often cited by research in Physiology (178 citations), Sensory Systems (119 citations) and Cardiology and Cardiovascular Medicine (548 citations). Hiroyuki Ishida has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Shosaku Numa, Tadaaki Hirose, Naoto Minamino, Hisayuki Matsuo, Seiichiro Nishimura, Hiroshi Takeshima, Kenji Kangawa, Takeshi Matsumoto, Masamichi Ueda and Masao Hanaoka. Their work appears in journals such as Nature, JAMA and SHILAP Revista de lepidopterología.

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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