Yumiko Setoyama
- Immunology top 10%
- Rheumatology top 10%
- Physiology
- Oncology
- Molecular Biology
- Co-authors
- Kensei TsuzakaTsutomu TakeuchiKeiko YoshimotoTohru AbeKatsuya SuzukiSeiichiro InoueKiyono ShiraishiIzumi Fukuhara
- Topics
- T-cell and B-cell Immunology (11 papers)Immune Cell Function and Interaction (10 papers)Neuroblastoma Research and Treatments (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of ImmunologyBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited States
In The Last Decade
Yumiko Setoyama
20 papers receiving 400 citations
Peers
Comparison fields: 5 of 54
- Immunology 258
- Rheumatology 131
- Physiology 66
- Oncology 56
- Molecular Biology 55
Countries citing papers authored by Yumiko Setoyama
This map shows the geographic impact of Yumiko Setoyama'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 Yumiko Setoyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yumiko Setoyama more than expected).
Fields of papers citing papers by Yumiko Setoyama
This network shows the impact of papers produced by Yumiko Setoyama. 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 Yumiko Setoyama. The network helps show where Yumiko Setoyama may publish in the future.
Co-authorship network of co-authors of Yumiko Setoyama
This figure shows the co-authorship network connecting the top 25 collaborators of Yumiko Setoyama. A scholar is included among the top collaborators of Yumiko Setoyama 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 Yumiko Setoyama. Yumiko Setoyama 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 | 6 | |
| 3 | 3 | |
| 4 | 26 | |
| 5 | 2 | |
| 6 | 53 | |
| 7 | 21 | |
| 8 | 28 | |
| 9 | 8 | |
| 10 | 24 | |
| 11 | 4 | |
| 12 | 18 | |
| 13 | 37 | |
| 14 | 10 | |
| 15 | 32 | |
| 16 | 50 | |
| 17 | 14 | |
| 18 | 37 | |
| 19 | Soluble interleukin-2 receptor in blood from patients with sarcoidosis and idiopathic pulmonary fibrosis. | 25 |
| 20 | [Usefulness of the measurement of serum soluble IL-2 receptor alpha chain levels in clinical monitoring of non-Hodgkin lymphoma]. | 4 |
About Yumiko Setoyama
Yumiko Setoyama is a scholar working on Immunology, Rheumatology and Neurology, having authored 20 papers that have together received 407 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (10 papers) and Neuroblastoma Research and Treatments (5 papers). The work is most often cited by research in Immunology (258 citations), Rheumatology (131 citations) and Immunology and Allergy (20 citations). Yumiko Setoyama has collaborated with scholars based in Japan and United States. Frequent co-authors include Kensei Tsuzaka, Tsutomu Takeuchi, Keiko Yoshimoto, Tohru Abe, Katsuya Suzuki, Seiichiro Inoue, Kiyono Shiraishi, Izumi Fukuhara, Mao Pang and Kouichi Amano. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Biochemical and Biophysical Research 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.