Haruhiko Takisawa

4.7k citations
46 papers · 3.5k indexed · 1 hit paper · h-index 24
    • Microtubule and mitosis dynamics 6
    • DNA Repair Mechanisms 23
    • Genomics and Chromatin Dynamics 13
    • Epigenetics and DNA Methylation 7
    • Ion channel regulation and function 7
    • Mitochondrial Function and Pathology 6
    • ATP Synthase and ATPases Research 5
  • Aging top 5%
    • Carcinogens and Genotoxicity Assessment 3
  • Oncology top 10%

Haruhiko Takisawa

46 papers receiving 3.4k citations

Hit Papers

An auxin-based degron system for the rapid depletion of p...1.2k20092026201420202505007501000

Peers

Haruhiko Takisawa
Comparison fields: 5 of 94
  • Cell Biology 854
  • Molecular Biology 3.3k
  • Aging 69
  • Cancer Research 232
  • Oncology 345
Replace Ami Aronheim with:
Ami Aronheim Israel
J C Cavadore France
Johanne M. Murray United Kingdom
James D.R. Knight Canada
Andrei Khokhlatchev United States
Hidemasa Goto Japan
Chuanmao Zhang China
Caretha L. Creasy United States
Katsunori Sugimoto Japan
Terry Copeland United States
Haruhiko Takisawa relative to Ami Aronheim Israel Ami Aronheim's profile →
Citations per field
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Citations per year

Countries citing papers authored by Haruhiko Takisawa

Since Specialization
Citations

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

Fields of papers citing papers by Haruhiko Takisawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20166
2 20148
3 201243
4 201290
5 2012111
6 201112
7 200947
8
An auxin-based degron system for the rapid depletion of proteins in nonplant cellsbreakdown →
20091172
9 2006296
10 200367
11 2000122
12 2000117
13 1995248
14 19922
15 199270
16 19927
17 199020
18 19897
19 198722
20 19879

About Haruhiko Takisawa

Haruhiko Takisawa is a scholar working on Cell Biology, Molecular Biology and Toxicology, having authored 46 papers that have together received 3.5k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (23 papers), Genomics and Chromatin Dynamics (13 papers), Epigenetics and DNA Methylation (7 papers), Ion channel regulation and function (7 papers), Mitochondrial Function and Pathology (6 papers), Microtubule and mitosis dynamics (6 papers), ATP Synthase and ATPases Research (5 papers) and Carcinogens and Genotoxicity Assessment (3 papers). The work is most often cited by research in Cell Biology (854 citations), Molecular Biology (3.3k citations) and Aging (69 citations). Haruhiko Takisawa has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Masato T. Kanemaki, Yumiko Kubota, Kohei Nishimura, Tatsuo Fukagawa, Tatsuo Kakimoto, Satoru Mimura, Tomoko Matsui, Taro Masuda, Yoshitami Hashimoto and Antonin Tutter.

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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