Shiori Katayama

990 citations
14 papers · 763 indexed · h-index 10
  • Biomaterials top 10%
    • Electrospun Nanofibers in Biomedical Applications 3
    • Pluripotent Stem Cells Research 4
    • Angiogenesis and VEGF in Cancer 4
    • Microbial Metabolic Engineering and Bioproduction 3
    • Congenital heart defects research 3
    • Microbial metabolism and enzyme function 2
  • Surgery top 10%
    • Tissue Engineering and Regenerative Medicine 3
    • Axon Guidance and Neuronal Signaling 2

Shiori Katayama

14 papers receiving 756 citations

Peers

Shiori Katayama
Comparison fields: 5 of 78
  • Biomaterials 170
  • Molecular Biology 515
  • Surgery 313
  • Genetics 58
  • Cellular and Molecular Neuroscience 98
Replace Piera Smeriglio with:
Piera Smeriglio United States
Eleni Priglinger Austria
Suzanne Zeitouni United States
П. И. Макаревич Russia
Valeria Mezzano United States
Justus Stenzig Germany
S Kazemi Ashtiani Iran
Sharon L. Paige United States
Jantine Monshouwer‐Kloots Netherlands
Jan W. Buikema Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Shiori Katayama

Since Specialization
Citations

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

Fields of papers citing papers by Shiori Katayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Shiori Katayama, 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 Shiori Katayama Line = papers co-authored together Shiori Katayama links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20253
2 20234
3 20238
4 20212
5 201742
6 201568
7 2014216
8 201344
9 201238
10 2012117
11 201131
12 2010118
13 200954
14 200618

About Shiori Katayama

Shiori Katayama is a scholar working on Biomaterials, Molecular Biology and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 763 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Congenital heart defects research (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Microbial metabolism and enzyme function (2 papers) and Axon Guidance and Neuronal Signaling (2 papers). The work is most often cited by research in Biomaterials (170 citations), Molecular Biology (515 citations) and Surgery (313 citations). Shiori Katayama has collaborated with scholars based in Japan, Pakistan and United States. Frequent co-authors include Jun K. Yamashita, Kohei Yamamizu, Hidetoshi Masumoto, Tadashi Ikeda, Ryuzo Sakata, Hiroyuki Fukushima, Akira Marui, Teruo Okano, Takeshi Ikuno and Hideki Uosaki. Their work appears in journals such as Nucleic Acids Research, The Journal of Cell Biology and Blood.

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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