Hideki Kaneda

3.1k citations
35 papers · 1.9k · h-index 19

Impact in

Papers in

    • Mitochondrial Function and Pathology 6
    • Genomics and Phylogenetic Studies 3
    • CRISPR and Genetic Engineering 3
    • Wnt/β-catenin signaling in development and cancer 2
    • Animal Genetics and Reproduction 5

Hideki Kaneda

35 papers receiving 1.9k citations

Peers

Hideki Kaneda
Comparison fields: 5 of 109
  • Clinical Biochemistry 297
  • Aging 42
  • Molecular Biology 1.4k
  • Genetics 501
  • Developmental Biology 32
Replace Paul E. Neumann with:
Paul E. Neumann Canada
Golder N. Wilson United States
Laurent Villard France
David Schlessinger United States
Barbara R. DuPont United States
C. M. Hetherington United Kingdom
Paul Q. Thomas Australia
Jason J. Corneveaux United States
Junzo Yamada Japan
Hiroshi Takahashi Japan
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Citations per field
00.5×2.7×
Paul E. Neumann · 1×
Citations per year

Countries citing papers authored by Hideki Kaneda

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Kaneda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007415
2 1995356
3 1998185
4 2000123
5 2001100
6 199491
7 199888
8 200577
9 200560
10 200748
11 200144
12 199838
13 201026
14 200225
15 201725
16 200025
17 201423
18 201622
19 200922
20 201116

About Hideki Kaneda

Hideki Kaneda is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Public Health, Environmental and Occupational Health and Clinical Biochemistry, having authored 35 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (6 papers), Reproductive Biology and Fertility (5 papers), Animal Genetics and Reproduction (5 papers), Metabolism and Genetic Disorders (4 papers), Genomics and Phylogenetic Studies (3 papers), CRISPR and Genetic Engineering (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Clinical Biochemistry (297 citations), Aging (42 citations), Molecular Biology (1.4k citations), Genetics (501 citations) and Developmental Biology (32 citations). Hideki Kaneda has collaborated with scholars based in Japan, Italy and Poland. Frequent co-authors include Hiromichi Yonekawa, J Hayashi, Choji Taya, Hiroshi Shitara, Jun‐Ichi Hayashi, K F Lindahl, Yoichi Gondo, Toshihiko Shiroishi, Yoshiyuki Sakuraba and Shigeharu Wakana. Their work appears in journals such as Genes & Genetic Systems, EXPERIMENTAL ANIMALS, Biochemical and Biophysical Research Communications, Scientific Reports and Genetics.

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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