Kazuhiro Aoki

210 papers receiving 5.6k citations

Hit Papers

Coupling of bone resorption and formation by RANKL reverse signalling 2018 · 420 citations
4200+2+5Years since publication100200300400

Peers

Kazuhiro Aoki
Comparison fields: 5 of 164
  • Orthopedics and Sports Medicine 670
  • Cancer Research 994
  • Oncology 1.7k
  • Oral Surgery 377
  • Molecular Biology 3.1k
Replace Koichi Matsuo with:
Koichi Matsuo Japan
Songlin Wang China
Norio Amizuka Japan
Luc Malaval France
Petri Lehenkari Finland
Minoru Takagi Japan
Geert Carmeliet Belgium
Minghao Zheng Australia
T.J. Chambers United Kingdom
Stephen E. Harris United States
Kazuhiro Aoki relative to Koichi Matsuo Japan Koichi Matsuo's profile →
Citations per field
00.5×3.4×
Koichi Matsuo · 1×
Citations per year

Countries citing papers authored by Kazuhiro Aoki

Since Specialization
Citations

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

Fields of papers citing papers by Kazuhiro Aoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 227 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004446
2
Coupling of bone resorption and formation by RANKL reverse signalling
Hit paper breakdown →
2018420
3 2008290
4 2006287
5 2000269
6 2004233
7 2010207
8 2007186
9 2005143
10 1997142
11 2009139
12 2006113
13
Osteoclast formation and differentiation: an overview.
2012100
14 199994
15 201073
16 200962
17 200362
18 201362
19 201461
20 200953

About Kazuhiro Aoki

Kazuhiro Aoki is a scholar working on Molecular Biology, Oncology, Orthopedics and Sports Medicine, Surgery and Biomedical Engineering, having authored 227 papers that have together received 5.7k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (66 papers), Bone health and treatments (41 papers), NF-κB Signaling Pathways (19 papers), Bone health and osteoporosis research (16 papers), Ear Surgery and Otitis Media (13 papers), Bone Tissue Engineering Materials (12 papers), Sports Performance and Training (11 papers) and dental development and anomalies (11 papers). The work is most often cited by research in Orthopedics and Sports Medicine (670 citations), Cancer Research (994 citations), Oncology (1.7k citations), Oral Surgery (377 citations) and Molecular Biology (3.1k citations). Kazuhiro Aoki has collaborated with scholars based in Japan, United States and Sri Lanka. Frequent co-authors include Keiichi Ohya, Neil Alles, Niroshani S. Soysa, Hiroaki Saito, Eijiro Jimi, Roland Baron, Masud Khan, Natalie A. Sims, Hiroshi Takayanagi and Hidefumi Fukushima. Their work appears in journals such as Journal of Bone and Mineral Metabolism, Journal of Bone and Mineral Research, Bone, Biochemical and Biophysical Research Communications and The Journal of Dermatology.

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.

Explore authors with similar magnitude of impact