Yuko Shinohara

715 citations
18 papers · 584 indexed · h-index 13
Topics
Estrogen and related hormone effects (4 papers)Microbial metabolism and enzyme function (3 papers)Neuropeptides and Animal Physiology (3 papers)
Partner nations
JapanUnited States

In The Last Decade

Yuko Shinohara

18 papers receiving 566 citations

Peers

Yuko Shinohara
Comparison fields: 5 of 94
  • Molecular Biology 255
  • Pollution 155
  • Cellular and Molecular Neuroscience 118
  • Genetics 115
  • Ecology 76
Replace Lee‐Fen Hsu with:
Lee‐Fen Hsu Taiwan
Wookbong Kwon South Korea
Lavinia Casati Italy
Vidhya R. Rao United States
Guo Shao China
Morteza Seifi Iran
Sabrina Colafarina Italy
Su Feng China
Mariachiara Zuccarini Italy
Haiyu Zhao China
Yuko Shinohara relative to Lee‐Fen Hsu Taiwan Lee‐Fen Hsu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yuko Shinohara

Since Specialization
Citations

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

Fields of papers citing papers by Yuko Shinohara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuko Shinohara

This figure shows the co-authorship network connecting the top 25 collaborators of Yuko Shinohara. A scholar is included among the top collaborators of Yuko Shinohara 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 Yuko Shinohara. Yuko Shinohara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 6
2 14
3 11
4 8
5 24
6 25
7 40
8 33
9 22
10 151
11 24
12 36
13 68
14
Gamma-aminobutyric acid as a promoting factor of cancer metastasis; induction of matrix metalloproteinase production is potentially its underlying mechanism.
82
15 11
16 15
17 12
18 2

About Yuko Shinohara

Yuko Shinohara is a scholar working on Pollution, Geriatrics and Gerontology and Physiology, having authored 18 papers that have together received 584 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), Microbial metabolism and enzyme function (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Pollution (155 citations), Cellular and Molecular Neuroscience (118 citations) and Industrial and Manufacturing Engineering (44 citations). Yuko Shinohara has collaborated with scholars based in Japan and United States. Frequent co-authors include Osami Yagi, Tawan Limpiyakorn, Futoshi Kurisu, Yumiko Toyohira, Nobuyuki Yanagihara, Ken-ichirou Morohashi, Minhui Liu, Shigeru Nishimura, Hiroo Uchiyama and Seiji Shioda. Their work appears in journals such as Blood, Biochemical and Biophysical Research Communications and Endocrinology.

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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