Toshi Shioda

21.2k total citations · 5 hit papers
120 papers, 12.2k citations indexed

About

Toshi Shioda is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Toshi Shioda has authored 120 papers receiving a total of 12.2k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Molecular Biology, 30 papers in Genetics and 20 papers in Oncology. Recurrent topics in Toshi Shioda's work include CRISPR and Genetic Engineering (15 papers), Pluripotent Stem Cells Research (15 papers) and Epigenetics and DNA Methylation (13 papers). Toshi Shioda is often cited by papers focused on CRISPR and Genetic Engineering (15 papers), Pluripotent Stem Cells Research (15 papers) and Epigenetics and DNA Methylation (13 papers). Toshi Shioda collaborates with scholars based in United States, Japan and United Kingdom. Toshi Shioda's co-authors include Ana M. Soto, Frederick S. vom Saal, Kurt J. Isselbacher, Duk‐Hee Lee, Theo Colborn, David R. Jacobs, Wade V. Welshons, John Peterson Myers, Tyrone B. Hayes and Laura N. Vandenberg and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Toshi Shioda

119 papers receiving 12.0k citations

Hit Papers

Hormones and Endocrine-Disrupting Chemicals: Low-Dose Eff... 2010 2026 2015 2020 2012 2014 2010 2010 2010 500 1000 1.5k 2.0k

Peers

Toshi Shioda
Comparison fields: 5 of 163
  • Molecular Biology 6.5k
  • Cancer Research 2.7k
  • Oncology 2.7k
  • Health, Toxicology and Mutagenesis 2.4k
  • Genetics 1.5k
Replace Jun Kanno with:
Jun Kanno Japan
Matthew E. Burow United States
Lorenz Poellinger Sweden
Hajime Watanabe Japan
José Russo United States
Igor P. Pogribny United States
Shigeki Kuriyama Japan
Gail S. Prins United States
Paul T. van der Saag Netherlands
Roger R. Reddel Australia
Jun Kanno Japan View profile →
Citations per field, relative to Toshi Shioda
Toshi Shioda · 1×
Citations per year, relative to Toshi Shioda
Toshi Shioda · 1×

Countries citing papers authored by Toshi Shioda

Since Specialization
Citations

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

Fields of papers citing papers by Toshi Shioda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshi Shioda

This figure shows the co-authorship network connecting the top 25 collaborators of Toshi Shioda. A scholar is included among the top collaborators of Toshi Shioda 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 Toshi Shioda. Toshi Shioda 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
# Work Indexed citations
1 3
2 4
3 36
4 0
5 7
6 36
7 20
8 35
9
Circulating Tumor Cell Clusters Are Oligoclonal Precursors of Breast Cancer Metastasis breakdown →
1786
10 26
11 57
12 341
13
MicroRNA-33 and the SREBP Host Genes Cooperate to Control Cholesterol Homeostasis breakdown →
780
14 405
15 312
16 64
17 48
18 198
19 110
20 18

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026