Taku Yoshio
- Rheumatology top 0.5%
- Immunology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Neurology top 5%
- Molecular Biology
- Co-authors
- Seiji MinotaShunsei HirohataShogo KanoMasahiro IwamotoHiroyuki NaraHitoaki OkazakiHiroshi OkamotoAkio Mimori
- Topics
- Systemic Lupus Erythematosus Research (33 papers)Monoclonal and Polyclonal Antibodies Research (16 papers)Rheumatoid Arthritis Research and Therapies (7 papers)
- Cited by
- RheumatologyImmunologyNeurology
- Journals
- The Journal of Experimental MedicineThe Journal of ImmunologyAnnals of the Rheumatic Diseases
- Partner nations
- JapanUnited StatesChile
In The Last Decade
Taku Yoshio
70 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 85
- Rheumatology 1.1k
- Immunology 774
- Radiology, Nuclear Medicine and Imaging 388
- Neurology 343
- Molecular Biology 326
Countries citing papers authored by Taku Yoshio
This map shows the geographic impact of Taku Yoshio'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 Taku Yoshio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taku Yoshio more than expected).
Fields of papers citing papers by Taku Yoshio
This network shows the impact of papers produced by Taku Yoshio. 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 Taku Yoshio. The network helps show where Taku Yoshio may publish in the future.
Co-authorship network of co-authors of Taku Yoshio
This figure shows the co-authorship network connecting the top 25 collaborators of Taku Yoshio. A scholar is included among the top collaborators of Taku Yoshio 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 Taku Yoshio. Taku Yoshio 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 | 79 | |
| 3 | 12 | |
| 4 | 24 | |
| 5 | 118 | |
| 6 | 133 | |
| 7 | 21 | |
| 8 | 12 | |
| 9 | 27 | |
| 10 | 8 | |
| 11 | 86 | |
| 12 | 20 | |
| 13 | 29 | |
| 14 | 1 | |
| 15 | 21 | |
| 16 | 20 | |
| 17 | 27 | |
| 18 | 13 | |
| 19 | 14 | |
| 20 | Long-term prognosis of patients with connective tissue disease accompanied by pulmonary hypertension: a retrospective study | 1 |
About Taku Yoshio
Taku Yoshio is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 70 papers that have together received 2.0k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (33 papers), Monoclonal and Polyclonal Antibodies Research (16 papers) and Rheumatoid Arthritis Research and Therapies (7 papers). The work is most often cited by research in Rheumatology (1.1k citations), Immunology (774 citations) and Neurology (343 citations). Taku Yoshio has collaborated with scholars based in Japan, United States and Chile. Frequent co-authors include Seiji Minota, Shunsei Hirohata, Shogo Kano, Masahiro Iwamoto, Hiroyuki Nara, Hitoaki Okazaki, Hiroshi Okamoto, Akio Mimori, J Masuyama and Yoshiyuki Arinuma. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology and Annals of the Rheumatic Diseases.
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.