Kansei Komaki

1.6k citations
69 papers · 1.3k · h-index 20

Impact in

Papers in

    • Breast Cancer Treatment Studies 20
    • Cancer, Lipids, and Metabolism 6
    • HER2/EGFR in Cancer Research 6
    • Bone health and treatments 5

Kansei Komaki

66 papers receiving 1.2k citations

Peers

Kansei Komaki
Comparison fields: 5 of 89
  • Cancer Research 463
  • Pathology and Forensic Medicine 368
  • Dermatology 152
  • Oncology 334
  • Endocrinology, Diabetes and Metabolism 156
Replace Dawid Murawa with:
Dawid Murawa Poland
R. Uren Australia
Massimo Calabrese Italy
Samuel W. Beenken United States
Satoshi Matsusaka Japan
Wenjun Yi China
Laurine Verset Belgium
Dariusz Lange Poland
Sathiyamoorthy Selvarajan Singapore
Kansei Komaki relative to Dawid Murawa Poland Dawid Murawa's profile →
Citations per field
00.5×3.5×
Dawid Murawa · 1×
Citations per year

Countries citing papers authored by Kansei Komaki

Since Specialization
Citations

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

Fields of papers citing papers by Kansei Komaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007137
2 1988131
3 199398
4 198586
5 199069
6 200451
7 199351
8 200643
9 201032
10 201032
11 199129
12 200127
13 199726
14 199025
15 199325
16
Incidence of ultrasonographically-detected thyroid nodules in healthy adults.
199321
17 199421
18 199920
19 199820
20
Molecular epidemiology of breast cancers in northern and southern Japan: the frequency, clustering, and patterns of p53 gene mutations differ among these two low-risk populations.
199620

About Kansei Komaki

Kansei Komaki is a scholar working on Cancer Research, Oncology, Genetics, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 69 papers that have together received 1.3k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (20 papers), Breast Lesions and Carcinomas (19 papers), Estrogen and related hormone effects (18 papers), Thyroid Cancer Diagnosis and Treatment (10 papers), Cancer and Skin Lesions (9 papers), Cancer, Lipids, and Metabolism (6 papers), HER2/EGFR in Cancer Research (6 papers) and Bone health and treatments (5 papers). The work is most often cited by research in Cancer Research (463 citations), Pathology and Forensic Medicine (368 citations), Dermatology (152 citations), Oncology (334 citations) and Endocrinology, Diabetes and Metabolism (156 citations). Kansei Komaki has collaborated with scholars based in Japan, United States and Pakistan. Frequent co-authors include Yasumasa Monden, Tadaoki Morimoto, Haruo Sugano, Hidemi Furusawa, Tadashi Uyama, Hitoshi Miki, Y Monden, Yukiko Yasuda, Y. Konishi and Atsushi Umemoto. Their work appears in journals such as Journal of Surgical Oncology, Surgery Today, Breast Cancer, Breast Cancer Research and Treatment and Chemical Research in Toxicology.

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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