Junji Yamada
- Molecular Biology
- Clinical Biochemistry top 2%
- Physiology
- Biochemistry top 5%
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Tetsuya SugaTakafumi WatanabeShuichi HorieToshihiko IkedaTakuya SugaKuniaki FukudaHisashi SuzukiHiroyuki Sugiyama
- Topics
- Peroxisome Proliferator-Activated Receptors (18 papers)Metabolism and Genetic Disorders (12 papers)Adipose Tissue and Metabolism (5 papers)
- Journals
- Analytical BiochemistryBiochemical and Biophysical Research CommunicationsArchives of Biochemistry and Biophysics
- Partner nations
- JapanUnited States
In The Last Decade
Junji Yamada
20 papers receiving 540 citations
Peers
Comparison fields: 5 of 64
- Molecular Biology 456
- Clinical Biochemistry 180
- Physiology 128
- Biochemistry 101
- Endocrinology, Diabetes and Metabolism 97
Countries citing papers authored by Junji Yamada
This map shows the geographic impact of Junji Yamada'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 Yamada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junji Yamada more than expected).
Fields of papers citing papers by Junji Yamada
This network shows the impact of papers produced by Junji Yamada. 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 Yamada. The network helps show where Junji Yamada may publish in the future.
Co-authorship network of co-authors of Junji Yamada
This figure shows the co-authorship network connecting the top 25 collaborators of Junji Yamada. A scholar is included among the top collaborators of Junji Yamada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junji Yamada. Junji Yamada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 21 | |
| 3 | 52 | |
| 4 | 18 | |
| 5 | 21 | |
| 6 | 2 | |
| 7 | 37 | |
| 8 | 27 | |
| 9 | 19 | |
| 10 | 18 | |
| 11 | 84 | |
| 12 | 17 | |
| 13 | 12 | |
| 14 | 23 | |
| 15 | 65 | |
| 16 | 45 | |
| 17 | 33 | |
| 18 | Participation of peroxisomes in the metabolism of xenobiotic acyl compounds: comparison between peroxisomal and mitochondrial beta-oxidation of omega-phenyl fatty acids in rat liver. | 37 |
| 19 | 26 | |
| 20 | 27 |
About Junji Yamada
Junji Yamada is a scholar working on Clinical Biochemistry, Biochemistry and Pharmacology, having authored 20 papers that have together received 587 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (18 papers), Metabolism and Genetic Disorders (12 papers) and Adipose Tissue and Metabolism (5 papers). The work is most often cited by research in Clinical Biochemistry (180 citations), Biochemistry (101 citations) and Pharmacology (73 citations). Junji Yamada has collaborated with scholars based in Japan and United States. Frequent co-authors include Tetsuya Suga, Takafumi Watanabe, Shuichi Horie, Toshihiko Ikeda, Takuya Suga, Kuniaki Fukuda, Hisashi Suzuki, Hiroyuki Sugiyama, I. Matsumoto and Tetsuya Suga. Their work appears in journals such as Analytical Biochemistry, Biochemical and Biophysical Research Communications and Archives of Biochemistry and Biophysics.
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.