T Tokunaga
- Immunology top 2%
- Molecular Biology
- Epidemiology top 10%
- Oncology top 10%
- Infectious Diseases top 10%
- Co-authors
- Kiyoko S. AkagawaTateshi KataokaOkihito YanoToshiko YamamotoEtsuro KuramotoShuji YamamotoReiko NakamuraKeiichi Kamoshita
- Topics
- Immune Response and Inflammation (9 papers)Mycobacterium research and diagnosis (7 papers)Earthquake Detection and Analysis (5 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineJournal of Geophysical Research Atmospheres
- Partner nations
- JapanUnited StatesArmenia
In The Last Decade
T Tokunaga
62 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 124
- Immunology 1.2k
- Molecular Biology 632
- Epidemiology 300
- Oncology 261
- Infectious Diseases 221
Countries citing papers authored by T Tokunaga
This map shows the geographic impact of T Tokunaga'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 T Tokunaga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Tokunaga more than expected).
Fields of papers citing papers by T Tokunaga
This network shows the impact of papers produced by T Tokunaga. 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 T Tokunaga. The network helps show where T Tokunaga may publish in the future.
Co-authorship network of co-authors of T Tokunaga
This figure shows the co-authorship network connecting the top 25 collaborators of T Tokunaga. A scholar is included among the top collaborators of T Tokunaga 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 T Tokunaga. T Tokunaga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 12 | |
| 6 | 11 | |
| 7 | 27 | |
| 8 | 34 | |
| 9 | Onset time determination of precursory events in time series data by an extension of Singular Spectrum Transformation | 3 |
| 10 | 3 | |
| 11 | Detecting precursory events in time series data by an extension of singular spectrum transformation | 3 |
| 12 | 3 | |
| 13 | 56 | |
| 14 | 33 | |
| 15 | 17 | |
| 16 | 295 | |
| 17 | 85 | |
| 18 | 97 | |
| 19 | 5 | |
| 20 | 49 |
About T Tokunaga
T Tokunaga is a scholar working on Aging, Immunology and Biophysics, having authored 64 papers that have together received 2.2k indexed citations. Recurring topics across this work include Immune Response and Inflammation (9 papers), Mycobacterium research and diagnosis (7 papers) and Earthquake Detection and Analysis (5 papers). The work is most often cited by research in Immunology (1.2k citations), Microbiology (127 citations) and Immunology and Allergy (86 citations). T Tokunaga has collaborated with scholars based in Japan, United States and Armenia. Frequent co-authors include Kiyoko S. Akagawa, Tateshi Kataoka, Okihito Yano, Toshiko Yamamoto, Etsuro Kuramoto, Shuji Yamamoto, Reiko Nakamura, Keiichi Kamoshita, Shingo Shimada and Tamotsu Fukuda. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Journal of Geophysical Research Atmospheres.
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.