Haruka Chino

57 total papers · 2.4k total citations
38 papers, 1.8k citations indexed

About

Haruka Chino is a scholar working on Epidemiology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Haruka Chino has authored 38 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 10 papers in Molecular Biology and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Haruka Chino's work include Neurobiology and Insect Physiology Research (8 papers), Endoplasmic Reticulum Stress and Disease (7 papers) and Autophagy in Disease and Therapy (6 papers). Haruka Chino is often cited by papers focused on Neurobiology and Insect Physiology Research (8 papers), Endoplasmic Reticulum Stress and Disease (7 papers) and Autophagy in Disease and Therapy (6 papers). Haruka Chino collaborates with scholars based in Japan, United States and Canada. Haruka Chino's co-authors include Noboru Mizushima, Roger Downer, Ken Kitazawa, Tohru Natsume, Tomohisa Hatta, G.R. Wyatt, Yasuo Chinzei, L Gilbert, K. Takahashi and Michio Yazawa and has published in prestigious journals such as Nature, Nature Communications and The EMBO Journal.

In The Last Decade

Haruka Chino

37 papers receiving 1.8k citations

Hit Papers

Wetting regulates autopha... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Haruka Chino 593 585 530 395 358 38 1.8k
Jacques Beaulaton 711 1.2× 328 0.6× 185 0.3× 173 0.4× 178 0.5× 25 1.4k
Zeyu Jiang 967 1.6× 702 1.2× 182 0.3× 66 0.2× 239 0.7× 50 2.3k
Esther Caparrós 1.1k 1.8× 299 0.5× 357 0.7× 163 0.4× 79 0.2× 34 2.3k
Martha J. Larsen 696 1.2× 322 0.6× 177 0.3× 120 0.3× 91 0.3× 37 1.5k
Philip D. Charles 993 1.7× 109 0.2× 315 0.6× 103 0.3× 162 0.5× 50 2.0k
Vivian Zhang 848 1.4× 203 0.3× 349 0.7× 66 0.2× 298 0.8× 52 2.4k
Péter Deák 1.7k 2.9× 298 0.5× 253 0.5× 1.1k 2.8× 141 0.4× 52 2.2k
Yu Sun 1.3k 2.2× 151 0.3× 93 0.2× 167 0.4× 287 0.8× 66 2.1k
Stephen C. Pak 846 1.4× 103 0.2× 224 0.4× 293 0.7× 70 0.2× 53 1.9k
Jason Karpac 677 1.1× 474 0.8× 109 0.2× 94 0.2× 373 1.0× 26 1.7k

Countries citing papers authored by Haruka Chino

Since Specialization
Citations

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

Fields of papers citing papers by Haruka Chino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haruka Chino

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