K. Eguchi

2.0k citations
90 papers · 1.7k · 1 hit paper · h-index 17

Impact in

Papers in

K. Eguchi

86 papers receiving 1.6k citations

K. Eguchi's Hit Papers

Peripheral lung cancer: screening and detection with low-dose spiral CT versus radiography. 1996 · 688 citations
6880+10+20Years since publication200400600

Peers

K. Eguchi
Comparison fields: 5 of 103
  • Pulmonary and Respiratory Medicine 1.1k
  • Radiology, Nuclear Medicine and Imaging 653
  • Oncology 250
  • Computer Vision and Pattern Recognition 139
  • Artificial Intelligence 179
Replace N. Moriyama with:
N. Moriyama Japan
Tamim Niazi Canada
Jeroen Veltman Netherlands
Hester van Boven Netherlands
Thibaud Coroller United States
Stefano Trebeschi Netherlands
Regina J. Hooley United States
Faina Shtern United States
Sherif Mehralivand United States
Urs J. Muehlematter Switzerland
K. Eguchi relative to N. Moriyama Japan N. Moriyama's profile →
Citations per field
00.5×1.5×
N. Moriyama · 1×
Citations per year

Countries citing papers authored by K. Eguchi

Since Specialization
Citations

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

Fields of papers citing papers by K. Eguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Peripheral lung cancer: screening and detection with low-dose spiral CT versus radiography.
Hit paper breakdown →
1996688
2 1998202
3 199874
4 200357
5 199842
6 200228
7 200827
8 201326
9 200926
10 198025
11 198724
12 200423
13 199921
14 200221
15 200020
16 199518
17 200217
18 200216
19 202015
20 201915

About K. Eguchi

K. Eguchi is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Oncology and Artificial Intelligence, having authored 90 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (37 papers), Radiomics and Machine Learning in Medical Imaging (31 papers), Medical Imaging Techniques and Applications (18 papers), Lung Cancer Treatments and Mutations (13 papers), Medical Image Segmentation Techniques (12 papers), AI in cancer detection (12 papers), Lung Cancer Research Studies (9 papers) and Advanced X-ray and CT Imaging (8 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.1k citations), Radiology, Nuclear Medicine and Imaging (653 citations), Oncology (250 citations), Computer Vision and Pattern Recognition (139 citations) and Artificial Intelligence (179 citations). K. Eguchi has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Hironobu Ohmatsu, N. Moriyama, Masahiro Kaneko, Ryutaro Kakinuma, Takashi Naruke, K Suemasu, Yoshiki Kawata, Noboru Niki, H. Satoh and Keizo Kanazawa. Their work appears in journals such as Lung Cancer, Japanese Journal of Clinical Oncology, IEEE Transactions on Nuclear Science, British Journal of Cancer and Clinical Rheumatology.

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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