Kohji Tanaka
- Molecular Biology
- Organic Chemistry top 10%
- Pulmonary and Respiratory Medicine
- Cardiology and Cardiovascular Medicine
- Pharmacology top 10%
- Co-authors
- Mikiharu KamachiSunao ManabeTadatoshi OtaTsuneyuki SatoHitoshi TanakaToshiyuki WatanabeKazuo OkimotoMayumi Watanabe
- Topics
- Hydrological Forecasting Using AI (7 papers)Flood Risk Assessment and Management (7 papers)Hydrology and Watershed Management Studies (5 papers)
- Journals
- Biochimica et Biophysica Acta (BBA) - Molecular Cell ResearchPlant and Cell PhysiologyDrug Metabolism and Disposition
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Kohji Tanaka
53 papers receiving 599 citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 215
- Organic Chemistry 157
- Pulmonary and Respiratory Medicine 62
- Cardiology and Cardiovascular Medicine 49
- Pharmacology 49
Countries citing papers authored by Kohji Tanaka
This map shows the geographic impact of Kohji Tanaka'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 Kohji Tanaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kohji Tanaka more than expected).
Fields of papers citing papers by Kohji Tanaka
This network shows the impact of papers produced by Kohji Tanaka. 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 Kohji Tanaka. The network helps show where Kohji Tanaka may publish in the future.
Co-authorship network of co-authors of Kohji Tanaka
This figure shows the co-authorship network connecting the top 25 collaborators of Kohji Tanaka. A scholar is included among the top collaborators of Kohji Tanaka 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 Kohji Tanaka. Kohji Tanaka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 66 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 15 | |
| 12 | 26 | |
| 13 | 4 | |
| 14 | 14 | |
| 15 | 38 | |
| 16 | 2C-19 The increase in unirary oxcretion of 6 β-hydroxycortisol in common marmosets as a marker of hepatic CYP3A induction | 1 |
| 17 | 3 | |
| 18 | 0 | |
| 19 | 87 | |
| 20 | Toxicological studies of imipenem/cilastatin sodium (i): Acute toxicity studies in mice and rats | 1 |
About Kohji Tanaka
Kohji Tanaka is a scholar working on Environmental Engineering, Pharmacology and Ophthalmology, having authored 67 papers that have together received 638 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (7 papers), Flood Risk Assessment and Management (7 papers) and Hydrology and Watershed Management Studies (5 papers). The work is most often cited by research in Process Chemistry and Technology (24 citations), Pharmacology (49 citations) and Biochemistry (40 citations). Kohji Tanaka has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Mikiharu Kamachi, Sunao Manabe, Tadatoshi Ota, Tsuneyuki Sato, Hitoshi Tanaka, Toshiyuki Watanabe, Kazuo Okimoto, Mayumi Watanabe, Eiji Ihara and Hajime Yasuda. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Plant and Cell Physiology and Drug Metabolism and Disposition.
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.