Keiko Shioda

580 total citations
19 papers, 387 citations indexed

About

Keiko Shioda is a scholar working on Molecular Biology, Genetics and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Keiko Shioda has authored 19 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Keiko Shioda's work include Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (6 papers) and Animal Genetics and Reproduction (5 papers). Keiko Shioda is often cited by papers focused on Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (6 papers) and Animal Genetics and Reproduction (5 papers). Keiko Shioda collaborates with scholars based in United States, Israel and Japan. Keiko Shioda's co-authors include Toshi Shioda, Kathryn R. Coser, Kurt J. Isselbacher, Junko Odajima, Wei‐Lan Yeh, Kristen Renee McSweeney, Haley Ellis, Jacob H. Hanna, Konrad Hochedlinger and Ben S. Wittner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Nature Methods.

In The Last Decade

Keiko Shioda

18 papers receiving 384 citations

Peers

Keiko Shioda
Comparison fields: 5 of 61
  • Molecular Biology 272
  • Genetics 142
  • Oncology 56
  • Cancer Research 43
  • Health, Toxicology and Mutagenesis 33
Jorge Merlet France
Chiara Vasco Italy
Lin‐Yu Lu China
Gabriel W. Intano United States
Magda Carolina Sánchez Colombia
Elizabeth M. Boehm United States
Victoria L. Buettner United States
Mariko Yamane Japan
H. Heilbronner Germany
S A Narod Canada
Jorge Merlet France View profile →
Citations per field, relative to Keiko Shioda
Keiko Shioda · 1×
Citations per year, relative to Keiko Shioda
Keiko Shioda · 1×

Countries citing papers authored by Keiko Shioda

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Shioda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Shioda

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 6
2 0
3 7
4 16
5 4
6 16
7 9
8 2
9 6
10 69
11 39
12 25
13 32
14 62
15 25
16 1
17 13
18 54
19
Constituents of the Leaves of Catalpa ovata G. DON
1

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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