Harukata Miki

2.5k citations
9 papers · 1.3k indexed · 1 hit paper · h-index 7
Topics
Cellular transport and secretion (4 papers)Microtubule and mitosis dynamics (4 papers)Genetic and Kidney Cyst Diseases (2 papers)

In The Last Decade

Harukata Miki

9 papers receiving 1.3k citations

Hit Papers

Analysis of the kinesin superfamily: insights into struct...20052026201220192005100200300400500

Peers

Harukata Miki
Comparison fields: 5 of 93
  • Molecular Biology 886
  • Cell Biology 854
  • Genetics 203
  • Plant Science 148
  • Cellular and Molecular Neuroscience 96
Replace Jiro Toshima with:
Jiro Toshima Japan
Robert Kopajtich Germany
T. Lynne Blasius United States
Kiyofumi Kaneshiro Japan
Chester E. Chamberlain United States
Brigitte Ritter Canada
Gloria Jih United States
Maud Martin Belgium
Gert van Cappellen Netherlands
Tsui-Han Loo Singapore
Harukata Miki relative to Jiro Toshima Japan Jiro Toshima's profile →
Citations per field
00.5×1.5×2.3×
Jiro Toshima · 1×
Citations per year

Countries citing papers authored by Harukata Miki

Since Specialization
Citations

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

Fields of papers citing papers by Harukata Miki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harukata Miki

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 6
2 23
3 2
4 9
5 102
6
Analysis of the kinesin superfamily: insights into structure and functionbreakdown →
558
7 27
8 43
9 494

About Harukata Miki

Harukata Miki is a scholar working on Cell Biology, Cellular and Molecular Neuroscience and Genetics, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cellular transport and secretion (4 papers), Microtubule and mitosis dynamics (4 papers) and Genetic and Kidney Cyst Diseases (2 papers). The work is most often cited by research in Cell Biology (854 citations), Molecular Biology (886 citations) and Developmental Neuroscience (31 citations). Harukata Miki has collaborated with scholars based in Japan, Saudi Arabia and Switzerland. Frequent co-authors include Nobutaka Hirokawa, Yasushi Okada, Mitsutoshi Setou, Kiyofumi Kaneshiro, Doudou Wang, Yusuke Minato, Kazuo Nakajima, Shinsuke Niwa, Yasuko Noda and Wataru Nishimura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genome Research and Developmental Cell.

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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