Fumihiko Takeuchi
- Molecular Biology top 2%
- Infectious Diseases top 0.2%
- Genetics top 2%
- Clinical Biochemistry top 0.2%
- Epidemiology top 5%
- Co-authors
- Keiichi HiramatsuTadashi BabaMakoto KurodaHarumi YuzawaTeruyo ItoLongzhu CuiXiao XueKeiko Okuma
- Topics
- Genetic Associations and Epidemiology (20 papers)Antimicrobial Resistance in Staphylococcus (16 papers)Bacterial biofilms and quorum sensing (11 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Fumihiko Takeuchi
97 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Molecular Biology 2.9k
- Infectious Diseases 2.9k
- Genetics 1.0k
- Clinical Biochemistry 989
- Epidemiology 854
Countries citing papers authored by Fumihiko Takeuchi
This map shows the geographic impact of Fumihiko Takeuchi'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 Fumihiko Takeuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fumihiko Takeuchi more than expected).
Fields of papers citing papers by Fumihiko Takeuchi
This network shows the impact of papers produced by Fumihiko Takeuchi. 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 Fumihiko Takeuchi. The network helps show where Fumihiko Takeuchi may publish in the future.
Co-authorship network of co-authors of Fumihiko Takeuchi
This figure shows the co-authorship network connecting the top 25 collaborators of Fumihiko Takeuchi. A scholar is included among the top collaborators of Fumihiko Takeuchi 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 Fumihiko Takeuchi. Fumihiko Takeuchi 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | 30 | |
| 8 | 38 | |
| 9 | 53 | |
| 10 | 8 | |
| 11 | Extremal Properties for Dissections of Convex 3-Polytopes | 1 |
| 12 | 12 | |
| 13 | 26 | |
| 14 | A Genome-Wide Association Study Confirms VKORC1, CYP2C9, and CYP4F2 as Principal Genetic Determinants of Warfarin Dosebreakdown → | 475 |
| 15 | 91 | |
| 16 | 2 | |
| 17 | Geometric shellings of 3-polytopes. | 1 |
| 18 | Polytopes of linear programming relaxation for triangulations | 0 |
| 19 | 6 | |
| 20 | 1 |
About Fumihiko Takeuchi
Fumihiko Takeuchi is a scholar working on Computer Graphics and Computer-Aided Design, Genetics and Modeling and Simulation, having authored 104 papers that have together received 5.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (20 papers), Antimicrobial Resistance in Staphylococcus (16 papers) and Bacterial biofilms and quorum sensing (11 papers). The work is most often cited by research in Infectious Diseases (2.9k citations), Clinical Biochemistry (989 citations) and Molecular Medicine (333 citations). Fumihiko Takeuchi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Keiichi Hiramatsu, Tadashi Baba, Makoto Kuroda, Harumi Yuzawa, Teruyo Ito, Longzhu Cui, Xiao Xue, Keiko Okuma, Taeok Bae and Olaf Schneewind. Their work appears in journals such as The Lancet, Circulation 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.