Y. Naritomi
- Pharmacology top 2%
- Oncology
- Molecular Biology
- Computational Theory and Mathematics top 10%
- Pediatrics, Perinatology and Child Health
- Co-authors
- Akira KagayamaShigeyuki TerashitaSumihisa KimuraAkira SuzukiY. SakamotoToshifumi ShiragaAkira TogawaKenji Iwasaki
- Topics
- Pharmacogenetics and Drug Metabolism (5 papers)Drug Transport and Resistance Mechanisms (3 papers)Computational Drug Discovery Methods (2 papers)
- Journals
- Journal of Applied ElectrochemistryBiological and Pharmaceutical BulletinBerichte der Bunsengesellschaft für physikalische Chemie
- Partner nations
- Japan
In The Last Decade
Y. Naritomi
11 papers receiving 373 citations
Peers
Comparison fields: 5 of 84
- Pharmacology 240
- Oncology 147
- Molecular Biology 74
- Computational Theory and Mathematics 58
- Pediatrics, Perinatology and Child Health 48
Countries citing papers authored by Y. Naritomi
This map shows the geographic impact of Y. Naritomi'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. Naritomi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Naritomi more than expected).
Fields of papers citing papers by Y. Naritomi
This network shows the impact of papers produced by Y. Naritomi. 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. Naritomi. The network helps show where Y. Naritomi may publish in the future.
Co-authorship network of co-authors of Y. Naritomi
This figure shows the co-authorship network connecting the top 25 collaborators of Y. Naritomi. A scholar is included among the top collaborators of Y. Naritomi 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. Naritomi. Y. Naritomi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | Prediction of human hepatic clearance from in vivo animal experiments and in vitro metabolic studies with liver microsomes from animals and humans. | 272 |
| 3 | 37 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | Effect of repeated injection of somatomedin C on drug metabolizing enzyme activities in rats. | 1 |
| 7 | 14 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | EFFECTS OF ORGANO TIN COMPOUNDS ON LIVING ANIMALS-PART 2- | 1 |
About Y. Naritomi
Y. Naritomi is a scholar working on Pharmacology, Pharmaceutical Science and Computational Theory and Mathematics, having authored 11 papers that have together received 389 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (5 papers), Drug Transport and Resistance Mechanisms (3 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Pharmacology (240 citations), Oncology (147 citations) and Computational Theory and Mathematics (58 citations). Y. Naritomi has collaborated with scholars based in Japan. Frequent co-authors include Akira Kagayama, Shigeyuki Terashita, Sumihisa Kimura, Akira Suzuki, Y. Sakamoto, Toshifumi Shiraga, Akira Togawa, Kenji Iwasaki, Zenzaburo Tozuka and Hiroki Kaneko. Their work appears in journals such as Journal of Applied Electrochemistry, Biological and Pharmaceutical Bulletin and Berichte der Bunsengesellschaft für physikalische Chemie.
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.