Junji Kuroda
Impact in
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
- Hepatology top 10%
Papers in
-
- Pharmacogenetics and Drug Metabolism 4
- Drug-Induced Hepatotoxicity and Protection 4
-
- Effects and risks of endocrine disrupting chemicals 4
- Heavy Metal Exposure and Toxicity 3
- Co-authors
- Nobuo ShibataToru TamuraTatsuya NagasawaKazuyasu MaruyamaYoichi InadaShigeru NakanoYoshinobu YamazakiSatoru Tanaka
- Journals
- The Journal of Toxicological Sciences (12 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Immunology (1 paper)Food and Chemical Toxicology (1 paper)Toxicology (1 paper)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Junji Kuroda
38 papers receiving 690 citations
Peers
Comparison fields: 5 of 98
- Biochemistry 61
- Hepatology 66
- Pharmacology 65
- Endocrinology, Diabetes and Metabolism 106
- Health, Toxicology and Mutagenesis 79
Countries citing papers authored by Junji Kuroda
This map shows the geographic impact of Junji Kuroda'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 Junji Kuroda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junji Kuroda more than expected).
Fields of papers citing papers by Junji Kuroda
This network shows the impact of papers produced by Junji Kuroda. 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 Junji Kuroda. The network helps show where Junji Kuroda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Junji Kuroda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 15 | |
| 2 | 2011 | 0 | |
| 3 | 2008 | 34 | |
| 4 | 2007 | 15 | |
| 5 | 2006 | 21 | |
| 6 | 2006 | 28 | |
| 7 | 2006 | 46 | |
| 8 | 2006 | 199 | |
| 9 | 2005 | 7 | |
| 10 | 2005 | 7 | |
| 11 | 2002 | 14 | |
| 12 | 2002 | 36 | |
| 13 | 2000 | 3 | |
| 14 | P-96 An Experimental Study to Determine Gestation Days of Implantation and Fetal Palate Closure in Kbl:NZW Rabbits. | 1999 | 1 |
| 15 | 1998 | 13 | |
| 16 | 1995 | 3 | |
| 17 | 1994 | 5 | |
| 18 | 1990 | 3 | |
| 19 | 1990 | 14 | |
| 20 | 1989 | 3 |
About Junji Kuroda
Junji Kuroda is a scholar working on Pharmacology, Health, Toxicology and Mutagenesis, Reproductive Medicine, Clinical Biochemistry and Biochemistry, having authored 39 papers that have together received 718 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Metabolism and Genetic Disorders (3 papers), Sperm and Testicular Function (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Heavy Metal Exposure and Toxicity (3 papers). The work is most often cited by research in Biochemistry (61 citations), Hepatology (66 citations), Pharmacology (65 citations), Endocrinology, Diabetes and Metabolism (106 citations) and Health, Toxicology and Mutagenesis (79 citations). Junji Kuroda has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Nobuo Shibata, Toru Tamura, Tatsuya Nagasawa, Kazuyasu Maruyama, Yoichi Inada, Shigeru Nakano, Yoshinobu Yamazaki, Satoru Tanaka, Makoto Murakami and Kazuo Kobayashi. Their work appears in journals such as The Journal of Toxicological Sciences, Journal of Pharmacology and Experimental Therapeutics, Immunology, Food and Chemical Toxicology and Toxicology.
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.