K. Doi

29 papers receiving 576 citations

Peers

K. Doi
Comparison fields: 5 of 116
  • Radiology, Nuclear Medicine and Imaging 188
  • Artificial Intelligence 262
  • Health Information Management 29
  • Computer Vision and Pattern Recognition 85
  • Health Informatics 5
Replace Siqi Li with:
Siqi Li China
Brij Mohan Kumar Singh India
Donato Cascio Italy
Ruoxi Yu United States
Barbara Y. Croft United States
Daniel Jiménez‐Carretero Spain
Janet E. Bailey United States
Hiam Alquran Jordan
Qingling Sun China
Walaa Gouda Saudi Arabia
K. Doi relative to Siqi Li China Siqi Li's profile →
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Citations per year

Countries citing papers authored by K. Doi

Since Specialization
Citations

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

Fields of papers citing papers by K. Doi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993365
2 199852
3 199937
4 197225
5 198616
6 198114
7 200513
8 199810
9
Prolonged oval cell proliferation with Ito cell activation and extracellular matrix accumulation in galactosamine-induced acute hepatitis in mini rats.
199710
10
Rapid induction of atherosclerosis in rabbits.
199210
11 19808
12 19927
13 20026
14
Histopathological changes occasionally found in the peripheral nerve of chickens free from Marek's disease.
19735
15 19884
16 19904
17
[An autopsy case of membranous lipodystrophy (Nasu)].
19844
18
Model based classification of linear structures for digital mammograms
19964
19 20083
20 19903

About K. Doi

K. Doi is a scholar working on Genetics, Molecular Biology, Aerospace Engineering, Dermatology and Cardiology and Cardiovascular Medicine, having authored 29 papers that have together received 617 indexed citations. Recurring topics across this work include AI in cancer detection (3 papers), Skin Protection and Aging (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Herpesvirus Infections and Treatments (2 papers), Infrared Target Detection Methodologies (2 papers), Hair Growth and Disorders (2 papers), Particle accelerators and beam dynamics (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (188 citations), Artificial Intelligence (262 citations), Health Information Management (29 citations), Computer Vision and Pattern Recognition (85 citations) and Health Informatics (5 citations). K. Doi has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Charles E. Metz, Carl J. Vyborny, Maryellen L. Giger, Robert A. Schmidt, Yanpeng Wu, Shigehiko Katsuragawa, Heber MacMahon, Laurence Monnier‐Cholley, Junji Morishita and Takayuki Ishida. Their work appears in journals such as Laboratory Animals, Physics in Medicine and Biology, Veterinary Pathology, Radiology and Cryogenics.

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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