Hiroki Mano

951 citations
63 papers · 728 · h-index 15

Impact in

  • Cell Biology top 10%
    • Hippo pathway signaling and YAP/TAZ
    • Cellular Mechanics and Interactions
  • Hematology top 10%
    • Chronic Myeloid Leukemia Treatments

Papers in

Hiroki Mano

62 papers receiving 721 citations

Peers

Hiroki Mano
Comparison fields: 5 of 93
  • Cell Biology 157
  • Hematology 74
  • Aging 11
  • Pathology and Forensic Medicine 96
  • Modeling and Simulation 25
Replace Shengtao Zhu with:
Shengtao Zhu China
Haoran Zhu China
Jiao Yang China
Malini Mukherjee United States
Yuko Yamaguchi Japan
Liye Zhang China
Fabian Spill United Kingdom
Kazuhiko Matsuoka Japan
Luyan Shen China
Hiroki Mano relative to Shengtao Zhu China Shengtao Zhu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hiroki Mano

Since Specialization
Citations

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

Fields of papers citing papers by Hiroki Mano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012128
2 199573
3 201839
4
The C-terminal SH3 domain of the mouse c-Crk protein negatively regulates tyrosine-phosphorylation of Crk associated p130 in rat 3Y1 cells.
199439
5 200734
6
The Tec family protein-tyrosine kinases: a subset of kinases for a subset of signalings.
199932
7 201127
8 200920
9 202119
10 200917
11 201716
12 202015
13 199915
14 200015
15 201114
16 201714
17 200814
18 201014
19 201013
20 201712

About Hiroki Mano

Hiroki Mano is a scholar working on Mechanical Engineering, Mechanics of Materials, Pathology and Forensic Medicine, Molecular Biology and Cell Biology, having authored 63 papers that have together received 728 indexed citations. Recurring topics across this work include Vitamin D Research Studies (21 papers), Lubricants and Their Additives (13 papers), Metal and Thin Film Mechanics (12 papers), Tribology and Wear Analysis (12 papers), Biotin and Related Studies (11 papers), Metal Alloys Wear and Properties (6 papers), bioluminescence and chemiluminescence research (5 papers) and Adhesion, Friction, and Surface Interactions (4 papers). The work is most often cited by research in Cell Biology (157 citations), Hematology (74 citations), Aging (11 citations), Pathology and Forensic Medicine (96 citations) and Modeling and Simulation (25 citations). Hiroki Mano has collaborated with scholars based in Japan, United States and Croatia. Frequent co-authors include Atsushi Korenaga, Takashi Murakami, Toshiyuki Sakaki, Miki Nakano, Shinya Sasaki, Susumu Ishikawa, Shinichi Ikushiro, Atsushi Kittaka, Kaori Yasuda and Takashi Shimada. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, Biochemical and Biophysical Research Communications, Tribology International, Scientific Reports and Wear.

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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