Shiori Katayama

23 total papers · 985 total citations
14 papers, 760 citations indexed

About

Shiori Katayama is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shiori Katayama has authored 14 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Shiori Katayama's work include Angiogenesis and VEGF in Cancer (4 papers), Pluripotent Stem Cells Research (4 papers) and Congenital heart defects research (3 papers). Shiori Katayama is often cited by papers focused on Angiogenesis and VEGF in Cancer (4 papers), Pluripotent Stem Cells Research (4 papers) and Congenital heart defects research (3 papers). Shiori Katayama collaborates with scholars based in Japan, United States and Pakistan. Shiori Katayama's co-authors include Jun K. Yamashita, Kohei Yamamizu, Tadashi Ikeda, Hidetoshi Masumoto, Ryuzo Sakata, Hiroyuki Fukushima, Teruo Okano, Akira Marui, Takeshi Ikuno and Hideki Uosaki and has published in prestigious journals such as Nucleic Acids Research, The Journal of Cell Biology and Blood.

In The Last Decade

Shiori Katayama

14 papers receiving 753 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shiori Katayama 515 312 172 166 98 14 760
Paola Aulino 603 1.2× 129 0.4× 93 0.5× 74 0.4× 50 0.5× 9 822
EunAh Lee 238 0.5× 161 0.5× 101 0.6× 131 0.8× 116 1.2× 25 764
Xi Lou 387 0.8× 369 1.2× 196 1.1× 172 1.0× 67 0.7× 23 728
Hyun‐Jin Yang 466 0.9× 215 0.7× 175 1.0× 84 0.5× 125 1.3× 16 833
Lingjun Rao 523 1.0× 214 0.7× 53 0.3× 198 1.2× 60 0.6× 12 707
Nicholas M. Oyster 365 0.7× 171 0.5× 81 0.5× 131 0.8× 102 1.0× 11 663
Farshad Babaeijandaghi 482 0.9× 260 0.8× 164 1.0× 156 0.9× 23 0.2× 11 855
Sandra Petrus-Reurer 635 1.2× 202 0.6× 65 0.4× 213 1.3× 97 1.0× 16 860
Akshay Bareja 485 0.9× 201 0.6× 83 0.5× 61 0.4× 45 0.5× 21 786
Francijna E. van den Hil 451 0.9× 219 0.7× 84 0.5× 342 2.1× 43 0.4× 16 781

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 of co-authors of Shiori Katayama

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

All Works

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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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