Tetsu Yoshida

1.9k citations
22 papers · 1.5k · h-index 17

Impact in

Papers in

    • Pluripotent Stem Cells Research 4
    • Retinal Development and Disorders 4
    • RNA Research and Splicing 3
    • Genomics and Chromatin Dynamics 2
    • Pancreatic function and diabetes 7

Tetsu Yoshida

22 papers receiving 1.5k citations

Peers

Tetsu Yoshida
Comparison fields: 5 of 90
  • Developmental Neuroscience 181
  • Endocrinology 152
  • Molecular Biology 1.0k
  • Molecular Medicine 73
  • Cancer Research 186
Replace Jennifer C. Hocking with:
Jennifer C. Hocking Canada
Christopher A. Jones United States
Mai Nguyen‐Chi France
Anna Pistocchi Italy
Jem Efe United States
Steven A. Vokes United States
Stone Elworthy United Kingdom
Caterina Catalanotto Italy
Daisuke Sakai Japan
Helen E. Abud Australia
Tetsu Yoshida relative to Jennifer C. Hocking Canada Jennifer C. Hocking's profile →
Citations per field
00.5×3.2×
Jennifer C. Hocking · 1×
Citations per year

Countries citing papers authored by Tetsu Yoshida

Since Specialization
Citations

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

Fields of papers citing papers by Tetsu Yoshida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tetsu Yoshida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tetsu Yoshida Line = papers co-authored together Tetsu Yoshida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001376
2 2002284
3 2000118
4 200490
5 200885
6 201482
7 199970
8 201155
9 201851
10 199847
11 199441
12 200834
13 201126
14 200926
15 200325
16 201219
17 201119
18 201314
19 200911
20 201111

About Tetsu Yoshida

Tetsu Yoshida is a scholar working on Molecular Biology, Surgery, Genetics, Cellular and Molecular Neuroscience and Ecology, having authored 22 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Pluripotent Stem Cells Research (4 papers), Retinal Development and Disorders (4 papers), Bacterial Genetics and Biotechnology (3 papers), RNA Research and Splicing (3 papers), MicroRNA in disease regulation (2 papers), Genomics and Chromatin Dynamics (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Developmental Neuroscience (181 citations), Endocrinology (152 citations), Molecular Biology (1.0k citations), Molecular Medicine (73 citations) and Cancer Research (186 citations). Tetsu Yoshida has collaborated with scholars based in Japan, United States and Bulgaria. Frequent co-authors include Hideyuki Okano, Teruya Komano, Akinori Tokunaga, Gerry Weinmaster, Katsuhiko Mikoshiba, Takao Imai, Mitsuhiro Hashimoto, Masato Nakafuku, Nobuhisa Furuya and Su-Ryang Kim. Their work appears in journals such as Journal of Bacteriology, PLoS ONE, Molecular Microbiology, Scientific Reports and Differentiation.

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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