Hiromi Kirisako

25 total papers · 2.0k total citations
20 papers, 1.5k citations indexed

About

Hiromi Kirisako is a scholar working on Epidemiology, Cell Biology and Molecular Biology. According to data from OpenAlex, Hiromi Kirisako has authored 20 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 11 papers in Cell Biology and 10 papers in Molecular Biology. Recurrent topics in Hiromi Kirisako's work include Autophagy in Disease and Therapy (17 papers), Endoplasmic Reticulum Stress and Disease (8 papers) and Cellular transport and secretion (6 papers). Hiromi Kirisako is often cited by papers focused on Autophagy in Disease and Therapy (17 papers), Endoplasmic Reticulum Stress and Disease (8 papers) and Cellular transport and secretion (6 papers). Hiromi Kirisako collaborates with scholars based in Japan, China and United States. Hiromi Kirisako's co-authors include Hitoshi Nakatogawa, Yoshinori Ohsumi, Keisuke Mochida, Yayoi Kimura, Hisashi Hirano, Yu Oikawa, Tetsuya Kotani, Michiko Koizumi, Machiko Sakoh‐Nakatogawa and Nobuo N. Noda and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Hiromi Kirisako

19 papers receiving 1.5k citations

Hit Papers

Receptor-mediated selecti... 2015 2026 2018 2022 2015 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Hiromi Kirisako 1.1k 745 727 171 129 20 1.5k
Martina Schuschnig 1.1k 0.9× 578 0.8× 640 0.9× 200 1.2× 124 1.0× 19 1.3k
Wei-Lien Yen 1.2k 1.1× 594 0.8× 683 0.9× 168 1.0× 160 1.2× 11 1.5k
Tomoko Funakoshi 978 0.9× 602 0.8× 1.1k 1.6× 123 0.7× 133 1.0× 25 1.8k
Chika Kondo‐Kakuta 1.2k 1.1× 712 1.0× 639 0.9× 225 1.3× 126 1.0× 9 1.4k
Zhiyuan Yao 1.3k 1.1× 396 0.5× 901 1.2× 153 0.9× 172 1.3× 17 1.8k
Julia Romanov 1.1k 1.0× 470 0.6× 843 1.2× 161 0.9× 107 0.8× 14 1.5k
Koichiro Takeshige 930 0.8× 594 0.8× 870 1.2× 104 0.6× 108 0.8× 12 1.7k
Roswitha Krick 799 0.7× 630 0.8× 625 0.9× 119 0.7× 133 1.0× 23 1.2k
Takao Hanada 1.1k 1.0× 383 0.5× 870 1.2× 179 1.0× 104 0.8× 15 1.6k
Alf Håkon Lystad 1.1k 0.9× 471 0.6× 662 0.9× 207 1.2× 160 1.2× 26 1.5k

Countries citing papers authored by Hiromi Kirisako

Since Specialization
Citations

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

Fields of papers citing papers by Hiromi Kirisako

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiromi Kirisako

This figure shows the co-authorship network connecting the top 25 collaborators of Hiromi Kirisako. A scholar is included among the top collaborators of Hiromi Kirisako 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 Hiromi Kirisako. Hiromi Kirisako 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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