Koji Ohnuki

577 citations
55 papers · 389 · h-index 10

Impact in

  • Oncology top 10%
    • Global Cancer Incidence and Screening
    • Colorectal Cancer Screening and Detection
    • Cancer Risks and Factors
    • Breast Cancer Treatment Studies

Papers in

Koji Ohnuki

38 papers receiving 347 citations

Peers

Koji Ohnuki
Comparison fields: 5 of 46
  • Oncology 199
  • Cancer Research 69
  • Health Informatics 3
  • Pathology and Forensic Medicine 37
  • Pulmonary and Respiratory Medicine 66
Replace May Mei‐Sheng Ku with:
May Mei‐Sheng Ku United Kingdom
Ellen Paap Netherlands
B. Séradour France
Wendy Wu China
Wendy Wu Sweden
Vicky Majpruz Canada
Jeroen J. van den Broek Netherlands
Robert A Smith United States
Yanjun Hou United States
Irma Saarenmaa Finland
Koji Ohnuki relative to May Mei‐Sheng Ku United Kingdom May Mei‐Sheng Ku's profile →
Citations per field
00.5×3.3×
May Mei‐Sheng Ku · 1×
Citations per year

Countries citing papers authored by Koji Ohnuki

Since Specialization
Citations

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

Fields of papers citing papers by Koji Ohnuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201657
2 200854
3 201449
4 199527
5 200626
6 199921
7 202120
8 201516
9 200915
10 200510
11 20148
12 20247
13
Breast Cancer Imaging by Mammography : Effects of Age and Breast Composition
20035
14 20125
15 19974
16
20064
17 19974
18
Questionnaires for Screening Digital Mammography in Japan : Part 2
20083
19
20083
20 20053

About Koji Ohnuki

Koji Ohnuki is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Artificial Intelligence, Pathology and Forensic Medicine and Cancer Research, having authored 55 papers that have together received 389 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (18 papers), AI in cancer detection (11 papers), Digital Radiography and Breast Imaging (9 papers), Breast Lesions and Carcinomas (9 papers), Breast Cancer Treatment Studies (8 papers), Colorectal Cancer Screening and Detection (6 papers), Cervical Cancer and HPV Research (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Oncology (199 citations), Cancer Research (69 citations), Health Informatics (3 citations), Pathology and Forensic Medicine (37 citations) and Pulmonary and Respiratory Medicine (66 citations). Koji Ohnuki has collaborated with scholars based in Japan, United States and Tunisia. Frequent co-authors include Noriaki Ohuchi, Ichiro Tsuji, Takanori Ishida, Yoshikazu Nishino, Akihiko Suzuki, Yoshio Kasahara, Masakazu Amari, Masaaki Kawai, Shinichi Kuriyama and Tomio Nakayama. Their work appears in journals such as Breast Cancer, Cancer Science, The Journal of Steroid Biochemistry and Molecular Biology, Japanese Journal of Clinical Oncology and The Oncologist.

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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