Hideaki Nakamura

737 citations
29 papers · 613 indexed · h-index 12

Hideaki Nakamura

26 papers receiving 589 citations

Peers

Hideaki Nakamura
Comparison fields: 5 of 90
  • Health, Toxicology and Mutagenesis 119
  • Molecular Medicine 42
  • Biochemistry 36
  • Cancer Research 72
  • Pharmacology 39
Replace Shikha Sharma with:
Shikha Sharma India
Senping Cheng China
S.K. Hasan India
Seon Yeong Ji South Korea
Po-Lin Kuo Taiwan
Smrati Bhadauria India
Andrzej Trzeciak Poland
Mohamed A. Kandeil Egypt
M. R. Vijayababu India
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Citations per field
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Citations per year

Countries citing papers authored by Hideaki Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Hideaki Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20212
2 20160
3 201611
4 20153
5 201443
6 20137
7 2007182
8
[A case of cholangiocellular carcinoma complicated with intratumoral hemorrhagic necrosis].
20042
9 20039
10 200242
11 20022
12
P10-09 A Repeated 28 Days Oral Dose Toxicity Study of Methoxychlor in Rats, Based on the 'Enhanced OECD Test Guideline 407' for Screening Endocrine-disrupting Chemicals.
200112
13 20019
14 2001102
15 200134
16 20001
17 200020
18 19996
19
Effect of clofibrate on the erythrocyte membrane in rats.
19980
20 199515

About Hideaki Nakamura

Hideaki Nakamura is a scholar working on Biotechnology, Biochemistry and Cancer Research, having authored 29 papers that have together received 613 indexed citations. Recurring topics across this work include Cancer Research and Treatments (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Amino Acid Enzymes and Metabolism (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Synthesis and Biological Evaluation (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Phytoestrogen effects and research (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (119 citations), Molecular Medicine (42 citations) and Biochemistry (36 citations). Hideaki Nakamura has collaborated with scholars based in Japan and South Korea. Frequent co-authors include Jun Fang, Arun K. Iyer, Akiyoshi Nishikawa, Masao Hirose, Kazushi Okazaki, Fumio Furukawa, Yasuki Kitamura, Shuzo Okazaki, Kazuhisa Hatayama and Takayoshi Imazawa. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Pharmaceutical Sciences and Cancer Letters.

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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