Kozo Ishidate

925 citations
29 papers · 754 · h-index 16

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 7
    • RNA Interference and Gene Delivery 3
    • Lipid metabolism and biosynthesis 3
    • Amino Acid Enzymes and Metabolism 3

Kozo Ishidate

28 papers receiving 732 citations

Peers

Kozo Ishidate
Comparison fields: 5 of 71
  • Biochemistry 154
  • Clinical Biochemistry 94
  • Molecular Biology 500
  • Cancer Research 101
  • Cell Biology 83
Replace Takeru Zama with:
Takeru Zama Japan
Toshiya Tamura Japan
Mary Makowske United States
Ernesto Bustamante United States
Mirko Riboni Italy
Terumi Kambe Japan
Amrit L. Rampal United States
Laura Llacuna Spain
Joaquim Puigjaner Spain
William Bayona United States
Kozo Ishidate relative to Takeru Zama Japan Takeru Zama's profile →
Citations per field
00.5×3.8×
Takeru Zama · 1×
Citations per year

Countries citing papers authored by Kozo Ishidate

Since Specialization
Citations

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

Fields of papers citing papers by Kozo Ishidate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004171
2 199766
3 198451
4 200246
5 199643
6 200041
7 198039
8 200236
9 198134
10 198327
11 199826
12 199825
13 199225
14 198223
15 197622
16 200715
17 199713
18 200610
19 19938
20 19926

About Kozo Ishidate

Kozo Ishidate is a scholar working on Molecular Biology, Biochemistry, Surgery, Pharmacology and Oncology, having authored 29 papers that have together received 754 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (7 papers), Pancreatic function and diabetes (4 papers), Metabolism and Genetic Disorders (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Lipid metabolism and biosynthesis (3 papers), Amino Acid Enzymes and Metabolism (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Biochemistry (154 citations), Clinical Biochemistry (94 citations), Molecular Biology (500 citations), Cancer Research (101 citations) and Cell Biology (83 citations). Kozo Ishidate has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Chieko Aoyama, Huanan Liao, Yasuo Nakazawa, Yasuo Nakazawa, Kazuya Nakagomi, Paul A. Weinhold, Yoshihisa Nakazawa, Kinichi Nakashima, Naoshi Yamazaki and Hiroshi Terada. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Biochemical Journal, The Journal of Biochemistry, Biochemical and Biophysical Research Communications and Journal of Pharmaceutical Sciences.

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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