Y. Yasukochi
- Pharmacology top 0.2%
- Molecular Biology top 10%
- Oncology top 10%
- Biochemistry top 2%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Bettie Sue Siler MastersJ.A. PetersonYuji NagataM. TakagiYousuke KikuchiShigetaka KitajimaMasao FukudaLinda Parkhill
- Topics
- Amino Acid Enzymes and Metabolism (4 papers)RNA Research and Splicing (4 papers)Cancer, Hypoxia, and Metabolism (3 papers)
- Cited by
- PharmacologyBiochemistryOncology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryBiochemical Journal
- Partner nations
- JapanUnited States
In The Last Decade
Y. Yasukochi
14 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Pharmacology 931
- Molecular Biology 756
- Oncology 403
- Biochemistry 235
- Endocrinology, Diabetes and Metabolism 145
Countries citing papers authored by Y. Yasukochi
This map shows the geographic impact of Y. Yasukochi'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 Y. Yasukochi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Yasukochi more than expected).
Fields of papers citing papers by Y. Yasukochi
This network shows the impact of papers produced by Y. Yasukochi. 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 Y. Yasukochi. The network helps show where Y. Yasukochi may publish in the future.
Co-authorship network of co-authors of Y. Yasukochi
This figure shows the co-authorship network connecting the top 25 collaborators of Y. Yasukochi. A scholar is included among the top collaborators of Y. Yasukochi 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 Y. Yasukochi. Y. Yasukochi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 36 | |
| 4 | Activation of the erythropoietin promoter by a point mutation from GATA to TATA in the -30 region. | 11 |
| 5 | 59 | |
| 6 | 73 | |
| 7 | 42 | |
| 8 | 6 | |
| 9 | 16 | |
| 10 | 69 | |
| 11 | 98 | |
| 12 | 41 | |
| 13 | Some properties of a detergent-solubilized NADPH-cytochrome c(cytochrome P-450) reductase purified by biospecific affinity chromatography.breakdown → | 1096 |
| 14 | 19 |
About Y. Yasukochi
Y. Yasukochi is a scholar working on Biochemistry, Clinical Biochemistry and Pharmacology, having authored 14 papers that have together received 1.6k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (4 papers), RNA Research and Splicing (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Pharmacology (931 citations), Biochemistry (235 citations) and Oncology (403 citations). Y. Yasukochi has collaborated with scholars based in Japan and United States. Frequent co-authors include Bettie Sue Siler Masters, J.A. Peterson, Yuji Nagata, M. Takagi, Yousuke Kikuchi, Shigetaka Kitajima, Masao Fukuda, Linda Parkhill, David Kupfer and W. Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical Journal.
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.