T. Yano

1.6k citations
48 papers · 1.3k indexed · h-index 18
Topics
Endometriosis Research and Treatment (8 papers)Reproductive System and Pregnancy (5 papers)Growth Hormone and Insulin-like Growth Factors (5 papers)

In The Last Decade

T. Yano

46 papers receiving 1.2k citations

Peers

T. Yano
Comparison fields: 5 of 98
  • Molecular Biology 581
  • Reproductive Medicine 395
  • Obstetrics and Gynecology 212
  • Oncology 204
  • Genetics 202
Replace Satoshi Ohira with:
Satoshi Ohira Japan
Xiang‐Xi Xu United States
Erling A. Høivik Norway
John P. Thomson United Kingdom
Kirsten Vang Nielsen Denmark
Xinqi Wu United States
Undraga Schagdarsurengin Germany
Satoshi Ichigo Japan
Takeshi Yamada Japan
Donghai Dai United States
T. Yano relative to Satoshi Ohira Japan Satoshi Ohira's profile →
Citations per field
00.5×3.1×
Satoshi Ohira · 1×
Citations per year

Countries citing papers authored by T. Yano

Since Specialization
Citations

This map shows the geographic impact of T. 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 T. Yano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Yano more than expected).

Fields of papers citing papers by T. Yano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Yano

This figure shows the co-authorship network connecting the top 25 collaborators of T. Yano. A scholar is included among the top collaborators of T. 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 T. Yano. T. 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 11
3 1
4 21
5 34
6 62
7 61
8 1
9 30
10 87
11 10
12 25
13 54
14 11
15
Clinical application of histoculture drug response assay (HDRA) - Distribution pattern of inhibition index and predictability of clinical chemo-therapy effects -
2
16 9
17 5
18 14
19 12
20 7

About T. Yano

T. Yano is a scholar working on Reproductive Medicine, Structural Biology and Obstetrics and Gynecology, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (8 papers), Reproductive System and Pregnancy (5 papers) and Growth Hormone and Insulin-like Growth Factors (5 papers). The work is most often cited by research in Reproductive Medicine (395 citations), Obstetrics and Gynecology (212 citations) and Cell Biology (142 citations). T. Yano has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Y. Taketani, Osamu Tsutsumi, Shunsuke Nakagawa, Andrew V. Schally, J. Pinski, Paul K. Nakane, Nobuyuki Kobayashi, Mikio Momoeda, Siniša Radulović and Katsutoshi Oda. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Cancer Research.

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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