Hiroshi Shibuyà

15.6k citations
136 papers · 12.1k indexed · 5 hit papers · h-index 49
Topics
Thyroid Cancer Diagnosis and Treatment (21 papers)Wnt/β-catenin signaling in development and cancer (19 papers)Cancer-related gene regulation (18 papers)
Partner nations
JapanUnited StatesCanada

In The Last Decade

Hiroshi Shibuyà

130 papers receiving 11.9k citations

Hit Papers

Identification of a Member of the MAPKKK Family as a Pote...1995202620052015199520032000199919962505007501000

Peers

Hiroshi Shibuyà
Comparison fields: 5 of 138
  • Molecular Biology 8.0k
  • Immunology 2.3k
  • Cancer Research 1.9k
  • Oncology 1.8k
  • Surgery 1.2k
Replace Frank J. Rauscher with:
Frank J. Rauscher United States
B. Robert Franza United States
Marc Piechaczyk France
Larry Kedes United States
Lewis A. Chodosh United States
Charles A. Montgomery United States
Bohdan Wasylyk France
Àngel Pellicer United States
Achim Leutz Germany
Gerard C. Grosveld United States
Hiroshi Shibuyà relative to Frank J. Rauscher United States Frank J. Rauscher's profile →
Citations per field
00.5×1.5×2.3×
Frank J. Rauscher · 1×
Citations per year

Countries citing papers authored by Hiroshi Shibuyà

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Shibuyà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Shibuyà

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Shibuyà. A scholar is included among the top collaborators of Hiroshi Shibuyà 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 Hiroshi Shibuyà. Hiroshi Shibuyà 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 3
2 18
3 9
4 3
5 86
6 124
7 31
8 255
9 116
10 33
11 29
12 81
13 36
14 116
15 164
16 60
17 59
18 0
19 0
20 5

About Hiroshi Shibuyà

Hiroshi Shibuyà is a scholar working on Aging, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 136 papers that have together received 12.1k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (21 papers), Wnt/β-catenin signaling in development and cancer (19 papers) and Cancer-related gene regulation (18 papers). The work is most often cited by research in Cancer Research (1.9k citations), Molecular Biology (8.0k citations) and Immunology (2.3k citations). Hiroshi Shibuyà has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Kunihiro Matsumoto, Naoto Ueno, Eisuke Nishida, Kenji Irie, Tadatsugu Taniguchi, Toshihiro Yamaguchi, Kyoko Shirakabe, Jun Ninomiya‐Tsuji, Michiru Nishita and Isao Oishi. Their work appears in journals such as Nature, Science and Cell.

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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