Hideki Kimura

1.7k citations
62 papers · 1.4k · h-index 20

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 4
    • DNA Repair Mechanisms 3
    • Renal and related cancers 2
    • Renal Diseases and Glomerulopathies 7
    • Chronic Kidney Disease and Diabetes 5

Hideki Kimura

58 papers receiving 1.3k citations

Peers

Hideki Kimura
Comparison fields: 5 of 109
  • Nephrology 109
  • Cancer Research 155
  • Molecular Biology 701
  • Oncology 222
  • Physiology 167
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Maria Franzini Italy
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Carl Whatling Sweden
Davide Sartini Italy
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Ping He China
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Citations per field
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Citations per year

Countries citing papers authored by Hideki Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017165
2 2003116
3 2005110
4
DNA polymerase kappa, implicated in spontaneous and DNA damage-induced mutagenesis, is overexpressed in lung cancer.
2001109
5 201061
6 201857
7 199947
8 200546
9 199538
10 200736
11 201335
12 201434
13 199834
14 200834
15 200833
16 199132
17 198931
18 202029
19 201328
20 201525

About Hideki Kimura

Hideki Kimura is a scholar working on Molecular Biology, Nephrology, Pathology and Forensic Medicine, Oncology and Cardiology and Cardiovascular Medicine, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (7 papers), Chronic Kidney Disease and Diabetes (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Chemotherapy-induced organ toxicity mitigation (4 papers), DNA Repair Mechanisms (3 papers), Sulfur Compounds in Biology (3 papers), Genetic factors in colorectal cancer (3 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Nephrology (109 citations), Cancer Research (155 citations), Molecular Biology (701 citations), Oncology (222 citations) and Physiology (167 citations). Hideki Kimura has collaborated with scholars based in Japan, Singapore and South Korea. Frequent co-authors include Masayuki Iwano, Naoki Takahashi, Daisuke Mikami, Kazuko Kamiyama, Kenji Kasuno, Haruyoshi Yoshida, Mamiko Kobayashi, Takanobu Taniguchi, Masatoshi Tagawa and Jiyang O‐Wang. Their work appears in journals such as Nephrology Dialysis Transplantation, Scientific Reports, Biochemical and Biophysical Research Communications, Hypertension Research and Clinical Nephrology.

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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