Yuichiro Hayashi

1.6k citations
83 papers · 1.2k indexed · h-index 19

Yuichiro Hayashi

76 papers receiving 1.1k citations

Peers

Yuichiro Hayashi
Comparison fields: 5 of 142
  • Aging 49
  • Endocrine and Autonomic Systems 133
  • Cancer Research 131
  • Oncology 209
  • Pulmonary and Respiratory Medicine 206
Replace Alvin C. Lin with:
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Fei Zhong China
Lu Han China
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Yansong Gu United States
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Citations per field
00.5×2.9×
Alvin C. Lin · 1×
Citations per year

Countries citing papers authored by Yuichiro Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Yuichiro Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20238
2 20213
3 202117
4 20219
5 202039
6
Quantitative Evaluation of Organ Surface Reconstruction from Stereo Laparoscopic Images
20182
7
Investigation of extracting interlobular septa with Radial Structure Tensor (RST) in micro-CT images
20180
8 20181
9 201643
10 201613
11 20167
12
Development of segmentation method of bile duct from abdominal CT volumes by using Support Vector Machine
20150
13 20156
14 201472
15
An explanation of an afterimage rotation illusion by focusing time of retinal ON/OFF response
20141
16 201240
17 20111
18 20095
19 20081
20 20080

About Yuichiro Hayashi

Yuichiro Hayashi is a scholar working on Oncology, Endocrine and Autonomic Systems and Aging, having authored 83 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (9 papers), Cancer Immunotherapy and Biomarkers (6 papers), Luminescence and Fluorescent Materials (6 papers), Plasma Diagnostics and Applications (4 papers), Photoreceptor and optogenetics research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Manufacturing Process and Optimization (3 papers). The work is most often cited by research in Aging (49 citations), Endocrine and Autonomic Systems (133 citations) and Cancer Research (131 citations). Yuichiro Hayashi has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yoshitaka Fukada, Kamon Sanada, Kenzo Soejima, Tomoko Betsuyaku, Yuko Harada, Toshiyuki Okano, Takahiro Kumamaru, Michio Yazawa, David L. Brautigan and Masumi Eto. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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