Taijiro Okabe
- Molecular Biology top 10%
- Genetics top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Reproductive Medicine top 2%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Hajime NawataKiminobu GotoMasatoshi NomuraToshihiko YanaseHidetaka MorinagaRyoichi TakayanagiWuQiang FanYoshihiro Nishi
- Topics
- Metal Extraction and Bioleaching (17 papers)Estrogen and related hormone effects (16 papers)Hormonal and reproductive studies (12 papers)
- Journals
- Journal of Biological ChemistryThe Journal of ImmunologyThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Taijiro Okabe
124 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 145
- Molecular Biology 1.2k
- Genetics 743
- Endocrinology, Diabetes and Metabolism 553
- Reproductive Medicine 406
- Public Health, Environmental and Occupational Health 404
Countries citing papers authored by Taijiro Okabe
This map shows the geographic impact of Taijiro Okabe'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 Taijiro Okabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taijiro Okabe more than expected).
Fields of papers citing papers by Taijiro Okabe
This network shows the impact of papers produced by Taijiro Okabe. 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 Taijiro Okabe. The network helps show where Taijiro Okabe may publish in the future.
Co-authorship network of co-authors of Taijiro Okabe
This figure shows the co-authorship network connecting the top 25 collaborators of Taijiro Okabe. A scholar is included among the top collaborators of Taijiro Okabe 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 Taijiro Okabe. Taijiro Okabe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Oxidation of coals by nitrate in hot alkaline solutions | 2 |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | マンガン・ノジュールの処理 ＩＩＩ 粗砕マンガン・ノジュールの硫酸浸出とその浸出速度 | 0 |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 5 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 8 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 1 |
About Taijiro Okabe
Taijiro Okabe is a scholar working on Fuel Technology, Filtration and Separation and General Materials Science, having authored 128 papers that have together received 3.5k indexed citations. Recurring topics across this work include Metal Extraction and Bioleaching (17 papers), Estrogen and related hormone effects (16 papers) and Hormonal and reproductive studies (12 papers). The work is most often cited by research in Reproductive Medicine (406 citations), Endocrinology, Diabetes and Metabolism (553 citations) and Genetics (743 citations). Taijiro Okabe has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hajime Nawata, Kiminobu Goto, Masatoshi Nomura, Toshihiko Yanase, Hidetaka Morinaga, Ryoichi Takayanagi, Toshihiko Yanase, Masatoshi Nomura, WuQiang Fan and Yoshihiro Nishi. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and The Journal of Clinical Endocrinology & Metabolism.
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.