Hiroshi Kikuta

1.5k citations
16 papers · 863 indexed · h-index 14
Topics
Zebrafish Biomedical Research Applications (7 papers)Developmental Biology and Gene Regulation (7 papers)Congenital heart defects research (6 papers)
Partner nations
NorwayJapanGermany

In The Last Decade

Hiroshi Kikuta

16 papers receiving 849 citations

Peers

Hiroshi Kikuta
Comparison fields: 5 of 72
  • Molecular Biology 638
  • Cell Biology 402
  • Genetics 150
  • Immunology 130
  • Cellular and Molecular Neuroscience 73
Replace Catherine Hogan with:
Catherine Hogan United Kingdom
Mary Laplante Norway
Juliette Mathieu France
Xiangyun Wei United States
Bensheng Ju United States
Marc Amoyel United States
Nicole Staudt Germany
Bharesh K. Chauhan United States
Karen D. Larison United States
Maura McGrail United States
Hiroshi Kikuta relative to Catherine Hogan United Kingdom Catherine Hogan's profile →
Citations per field
00.5×
Catherine Hogan · 1×
Citations per year

Countries citing papers authored by Hiroshi Kikuta

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Kikuta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Kikuta

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 21
2 48
3 173
4 13
5 1
6 75
7 40
8 116
9 18
10 15
11 24
12 83
13 133
14 55
15
ゼブラフィッシュ(Danio rerio)の胚形成期間中のFGF受容体2遺伝子(fgfr2)の発現
1
16 47

About Hiroshi Kikuta

Hiroshi Kikuta is a scholar working on Cell Biology, Molecular Biology and Genetics, having authored 16 papers that have together received 863 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (7 papers), Developmental Biology and Gene Regulation (7 papers) and Congenital heart defects research (6 papers). The work is most often cited by research in Cell Biology (402 citations), Developmental Neuroscience (46 citations) and Molecular Biology (638 citations). Hiroshi Kikuta has collaborated with scholars based in Norway, Japan and Germany. Frequent co-authors include Thomas Becker, Koichi Kawakami, Mary Laplante, Akihiro Urasaki, Kazuhide Asakawa, Maximiliano L. Suster, Kyo Yamasu, Melanie König, Erling A. Høivik and Staale Ellingsen. Their work appears in journals such as Development, Developmental Biology and Methods.

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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