Mamoru Kiyoki

61 papers receiving 1.3k citations

Peers

Mamoru Kiyoki
Comparison fields: 5 of 105
  • Orthopedics and Sports Medicine 314
  • Pathology and Forensic Medicine 296
  • Oncology 379
  • Dermatology 120
  • Endocrinology, Diabetes and Metabolism 147
Replace Mohammed P. Akhter with:
Mohammed P. Akhter United States
Nicola Maruotti Italy
Seiki Wada Japan
Jia Cao China
Satoshi Yokose Japan
Yosuke Kanno Japan
Yu‐Wen Su China
A. Barbier France
G B Boder United States
Tetsuya Kawane Japan
Mamoru Kiyoki relative to Mohammed P. Akhter United States Mohammed P. Akhter's profile →
Citations per field
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Mohammed P. Akhter · 1×
Citations per year

Countries citing papers authored by Mamoru Kiyoki

Since Specialization
Citations

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

Fields of papers citing papers by Mamoru Kiyoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995119
2 1980109
3 1986100
4 199065
5 199164
6 199262
7 199461
8 199059
9 199647
10 199344
11 199440
12 200137
13 200137
14 199837
15 199032
16 199831
17 199628
18 199527
19 199424
20 197824

About Mamoru Kiyoki

Mamoru Kiyoki is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Orthopedics and Sports Medicine and Radiology, Nuclear Medicine and Imaging, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bone health and treatments (12 papers), Vitamin D Research Studies (11 papers), Bone health and osteoporosis research (8 papers), Blood Coagulation and Thrombosis Mechanisms (6 papers), Estrogen and related hormone effects (6 papers), Inflammatory mediators and NSAID effects (6 papers), Bone Metabolism and Diseases (6 papers) and Radiopharmaceutical Chemistry and Applications (5 papers). The work is most often cited by research in Orthopedics and Sports Medicine (314 citations), Pathology and Forensic Medicine (296 citations), Oncology (379 citations), Dermatology (120 citations) and Endocrinology, Diabetes and Metabolism (147 citations). Mamoru Kiyoki has collaborated with scholars based in Japan and United States. Frequent co-authors include Yoshiaki Azuma, Tomohiro Ohta, Tatsuyuki Naruchi, Masahiro Tsuchimoto, Koji Hashimoto, Kunio Matsumoto, Kunihiko Yoshikawa, Noriyoshi Kurihara, Masayoshi Kumegawa and Kohtaro Kawashima. Their work appears in journals such as Archives of Dermatological Research, The Journal of Dermatology, Bone, Journal of Pharmacology and Experimental Therapeutics and Calcified Tissue International.

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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