Katsuya Tanabe

1.5k citations
28 papers · 1.1k indexed · h-index 15
Topics
Pancreatic function and diabetes (21 papers)Endoplasmic Reticulum Stress and Disease (13 papers)Genetics and Neurodevelopmental Disorders (9 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
Partner nations
JapanUnited StatesCanada

In The Last Decade

Katsuya Tanabe

27 papers receiving 1.1k citations

Peers

Katsuya Tanabe
Comparison fields: 5 of 74
  • Molecular Biology 544
  • Surgery 540
  • Cell Biology 344
  • Genetics 273
  • Epidemiology 188
Replace Hiromi Yokota‐Hashimoto with:
Hiromi Yokota‐Hashimoto Japan
Isabelle Briaud United States
Scott B. Widenmaier Canada
Mohammed Bensellam Australia
Cristina Alarcón United States
Yoshiharu Tsubamoto Japan
Shao-Nian Yang Sweden
Cris M. Welling United States
Terumasa Okada United States
Corentin Cras‐Méneur United States
Katsuya Tanabe relative to Hiromi Yokota‐Hashimoto Japan Hiromi Yokota‐Hashimoto's profile →
Citations per field
00.5×1.5×1.9×
Hiromi Yokota‐Hashimoto · 1×
Citations per year

Countries citing papers authored by Katsuya Tanabe

Since Specialization
Citations

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

Fields of papers citing papers by Katsuya Tanabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katsuya Tanabe

This figure shows the co-authorship network connecting the top 25 collaborators of Katsuya Tanabe. A scholar is included among the top collaborators of Katsuya Tanabe 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 Katsuya Tanabe. Katsuya Tanabe 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 5
3 1
4 3
5 11
6 5
7 0
8 47
9 54
10 38
11 86
12 62
13 77
14 194
15 97
16 68
17 65
18 5
19 118
20 1

About Katsuya Tanabe

Katsuya Tanabe is a scholar working on Cell Biology, Surgery and Physiology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (21 papers), Endoplasmic Reticulum Stress and Disease (13 papers) and Genetics and Neurodevelopmental Disorders (9 papers). The work is most often cited by research in Cell Biology (344 citations), Endocrine and Autonomic Systems (137 citations) and Aging (23 citations). Katsuya Tanabe has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Yukio Tanizawa, M. Alan Permutt, Ernesto Bernal‐Mizrachi, Yoshitomo Oka, Corentin Cras‐Méneur, Shigeru Okuya, Sara C. Martinez, Nada A. Abumrad, Akira Matsutani and James R. Woodgett. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

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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