Yukimasa Taniguchi
- Molecular Biology top 10%
- Biomedical Engineering top 10%
- Surgery
- Immunology and Allergy top 2%
- Cell Biology top 10%
- Co-authors
- Kiyotoshi SekiguchiMaria HayashiSugiko FutakiMasato NakagawaAsuka MorizaneTarō ToyodaYoshinori YoshidaDaisuke Doi
- Topics
- Cell Adhesion Molecules Research (15 papers)Pluripotent Stem Cells Research (6 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Yukimasa Taniguchi
27 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Molecular Biology 913
- Biomedical Engineering 299
- Surgery 276
- Immunology and Allergy 250
- Cell Biology 183
Countries citing papers authored by Yukimasa Taniguchi
This map shows the geographic impact of Yukimasa Taniguchi'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 Yukimasa Taniguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukimasa Taniguchi more than expected).
Fields of papers citing papers by Yukimasa Taniguchi
This network shows the impact of papers produced by Yukimasa Taniguchi. 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 Yukimasa Taniguchi. The network helps show where Yukimasa Taniguchi may publish in the future.
Co-authorship network of co-authors of Yukimasa Taniguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Yukimasa Taniguchi. A scholar is included among the top collaborators of Yukimasa Taniguchi 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 Yukimasa Taniguchi. Yukimasa Taniguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 61 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 38 | |
| 11 | 5 | |
| 12 | 32 | |
| 13 | 37 | |
| 14 | A novel efficient feeder-free culture system for the derivation of human induced pluripotent stem cellsbreakdown → | 480 |
| 15 | 43 | |
| 16 | 10 | |
| 17 | 75 | |
| 18 | 111 | |
| 19 | 41 | |
| 20 | 7 |
About Yukimasa Taniguchi
Yukimasa Taniguchi is a scholar working on Immunology and Allergy, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (15 papers), Pluripotent Stem Cells Research (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Immunology and Allergy (250 citations), Genetics (151 citations) and Molecular Biology (913 citations). Yukimasa Taniguchi has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Kiyotoshi Sekiguchi, Maria Hayashi, Sugiko Futaki, Masato Nakagawa, Asuka Morizane, Tarō Toyoda, Yoshinori Yoshida, Daisuke Doi, Masatoshi Nishizawa and Tomoko Ichisaka. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.