Kouji Yano

1.2k citations
41 papers · 872 indexed · 1 hit paper · h-index 8
Topics
Stochastic processes and statistical mechanics (20 papers)Stochastic processes and financial applications (13 papers)Mathematical Dynamics and Fractals (12 papers)
Partner nations
JapanFranceUnited States

In The Last Decade

Kouji Yano

33 papers receiving 851 citations

Hit Papers

Osteoclast differentiation factor is a ligand for osteopr...19982026200720161998100200300400500

Peers

Kouji Yano
Comparison fields: 5 of 88
  • Molecular Biology 560
  • Oncology 435
  • Orthopedics and Sports Medicine 176
  • Rheumatology 111
  • Cancer Research 106
Replace Carmen Chillón with:
Carmen Chillón Spain
Nicola Calvani Italy
S. Rubin Canada
Melissa C. Larson United States
Klaus Hollmig United States
Mike Fero United States
Raymond Powles United Kingdom
James S. Blachly United States
Tomohiko Aihara Japan
E.L. Kwak United States
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Citations per field
00.5×1.7×
Carmen Chillón · 1×
Citations per year

Countries citing papers authored by Kouji Yano

Since Specialization
Citations

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

Fields of papers citing papers by Kouji Yano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kouji Yano

This figure shows the co-authorship network connecting the top 25 collaborators of Kouji Yano. A scholar is included among the top collaborators of Kouji Yano based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kouji Yano. Kouji Yano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 1
4 0
5 9
6 1
7 0
8 6
9 21
10 4
11 3
12 3
13 0
14 3
15 5
16 17
17 7
18 50
19 1
20 74

About Kouji Yano

Kouji Yano is a scholar working on Mathematical Physics, Finance and Management Science and Operations Research, having authored 41 papers that have together received 872 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (20 papers), Stochastic processes and financial applications (13 papers) and Mathematical Dynamics and Fractals (12 papers). The work is most often cited by research in Orthopedics and Sports Medicine (176 citations), Oncology (435 citations) and Mathematical Physics (93 citations). Kouji Yano has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Toshio Suda, Kanji Higashio, N. Shima, Masaaki Goto, Tomonori Morinaga, Nobuyuki Udagawa, Nobuhiro Takahashi, Shin-ichi Mochizuki, Hisataka Yasuda and N. Nakagawa. Their work appears in journals such as Biochemical and Biophysical Research Communications, Bone and Journal of Mathematical Analysis and Applications.

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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