Makoto Yono

1.0k total citations
49 papers, 800 citations indexed

About

Makoto Yono is a scholar working on Urology, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Makoto Yono has authored 49 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Urology, 17 papers in Endocrinology, Diabetes and Metabolism and 13 papers in Epidemiology. Recurrent topics in Makoto Yono's work include Urinary Bladder and Prostate Research (33 papers), Hormonal and reproductive studies (15 papers) and Pelvic floor disorders treatments (9 papers). Makoto Yono is often cited by papers focused on Urinary Bladder and Prostate Research (33 papers), Hormonal and reproductive studies (15 papers) and Pelvic floor disorders treatments (9 papers). Makoto Yono collaborates with scholars based in Japan, United States and Belgium. Makoto Yono's co-authors include Shoichi Ueda, Masaki Yoshida, Jamshid Latifpour, Wataru Takahashi, Hiroshi Seshita, Masaki Yoshida, Yukio Homma, Akito Inadome, Harris E. Foster and Robert M. Weiss and has published in prestigious journals such as The Journal of Infectious Diseases, The Journal of Urology and Life Sciences.

In The Last Decade

Makoto Yono

47 papers receiving 776 citations

Peers

Makoto Yono
Comparison fields: 5 of 88
  • Urology 540
  • Rheumatology 222
  • Endocrinology, Diabetes and Metabolism 176
  • Epidemiology 164
  • Molecular Biology 130
Replace Akito Inadome with:
Akito Inadome Japan
Yat-Ching Tong Taiwan
Ana Cristina Martı́nez Spain
Kirk J. Pak United States
Shiva M. Nair Canada
Janet Stone United Kingdom
Maurizio Capelli Italy
Dieter Groneberg Germany
Meng Tang China
Andrew Winterborn Canada
Akito Inadome Japan View profile →
Citations per field, relative to Makoto Yono
Makoto Yono · 1×
Citations per year, relative to Makoto Yono
Makoto Yono · 1×

Countries citing papers authored by Makoto Yono

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Yono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Yono

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Yono. A scholar is included among the top collaborators of Makoto Yono 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 Makoto Yono. Makoto Yono 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
# Work Indexed citations
1 16
2 8
3 3
4 3
5 0
6 1
7 5
8 7
9 15
10 55
11 18
12 26
13 7
14 5
15 17
16 4
17 20
18 10
19 21
20 14

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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