Kei Irie
Impact in
- Geometry and Topology top 5%
- Geometric and Algebraic Topology
- Applied Mathematics top 10%
Papers in
-
- Geometric and Algebraic Topology 13
-
- Lung Cancer Treatments and Mutations 8
- Co-authors
- Kunihiro Matsumoto (1 shared paper)Sandra K. Lemmon (1 shared paper)Patrick H. Roseboom (1 shared paper)Daniel Gelperin (1 shared paper)J. Weigle (1 shared paper)K Nelson (1 shared paper)Shoji Fukushima (16 shared papers)R. J. Wurtman (1 shared paper)
- Journals
- Therapeutic Drug Monitoring (4 papers)Investigational New Drugs (3 papers)Journal of Symplectic Geometry (3 papers)Mathematische Zeitschrift (2 papers)Clinical and Translational Science (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Kei Irie
57 papers receiving 775 citations
Peers
Comparison fields: 5 of 110
- Geometry and Topology 89
- Applied Mathematics 62
- Mathematical Physics 52
- Infectious Diseases 92
- Molecular Biology 326
Countries citing papers authored by Kei Irie
This map shows the geographic impact of Kei Irie'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 Kei Irie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kei Irie more than expected).
Fields of papers citing papers by Kei Irie
This network shows the impact of papers produced by Kei Irie. 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 Kei Irie. The network helps show where Kei Irie may publish in the future.
Co-authors
The 25 scholars most cited alongside Kei Irie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 145 | |
| 2 | 2002 | 86 | |
| 3 | 2017 | 69 | |
| 4 | 2020 | 59 | |
| 5 | 2011 | 43 | |
| 6 | 1986 | 43 | |
| 7 | 2018 | 38 | |
| 8 | 2016 | 30 | |
| 9 | 2018 | 23 | |
| 10 | 2018 | 20 | |
| 11 | 2015 | 19 | |
| 12 | 2018 | 18 | |
| 13 | 2021 | 15 | |
| 14 | 2016 | 14 | |
| 15 | 2019 | 13 | |
| 16 | 2011 | 13 | |
| 17 | 2021 | 10 | |
| 18 | 2014 | 9 | |
| 19 | 2018 | 9 | |
| 20 | 2020 | 9 |
About Kei Irie
Kei Irie is a scholar working on Geometry and Topology, Pulmonary and Respiratory Medicine, Mathematical Physics, Pharmacology and Molecular Biology, having authored 63 papers that have together received 795 indexed citations. Recurring topics across this work include Geometric and Algebraic Topology (13 papers), Homotopy and Cohomology in Algebraic Topology (9 papers), Antibiotics Pharmacokinetics and Efficacy (9 papers), Lung Cancer Treatments and Mutations (8 papers), Chronic Lymphocytic Leukemia Research (5 papers), Topological and Geometric Data Analysis (4 papers), Biosimilars and Bioanalytical Methods (4 papers) and Renal Transplantation Outcomes and Treatments (4 papers). The work is most often cited by research in Geometry and Topology (89 citations), Applied Mathematics (62 citations), Mathematical Physics (52 citations), Infectious Diseases (92 citations) and Molecular Biology (326 citations). Kei Irie has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kunihiro Matsumoto, Sandra K. Lemmon, Patrick H. Roseboom, Daniel Gelperin, J. Weigle, K Nelson, Shoji Fukushima, R. J. Wurtman, André Neves and Fernando C. Marques. Their work appears in journals such as Therapeutic Drug Monitoring, Investigational New Drugs, Journal of Symplectic Geometry, Mathematische Zeitschrift and Clinical and Translational Science.
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.