Yuichiro Kaneko
- Rheumatology top 2%
- Genetics top 5%
- Oncology
- Molecular Biology
- Hematology top 10%
- Co-authors
- Yoshiya TanakaTsutomu TakeuchiManabu IwasakiHironori KatoMitsuhiro RokudaSatoshi UshijimaAtsushi KawakamiKyoko Ohno‐Matsui
- Topics
- Rheumatoid Arthritis Research and Therapies (21 papers)Chronic Lymphocytic Leukemia Research (16 papers)Lymphoma Diagnosis and Treatment (13 papers)
- Cited by
- RheumatologyGeneticsOphthalmology
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Yuichiro Kaneko
52 papers receiving 887 citations
Peers
Comparison fields: 5 of 86
- Rheumatology 357
- Genetics 242
- Oncology 221
- Molecular Biology 176
- Hematology 122
Countries citing papers authored by Yuichiro Kaneko
This map shows the geographic impact of Yuichiro Kaneko'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 Yuichiro Kaneko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuichiro Kaneko more than expected).
Fields of papers citing papers by Yuichiro Kaneko
This network shows the impact of papers produced by Yuichiro Kaneko. 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 Yuichiro Kaneko. The network helps show where Yuichiro Kaneko may publish in the future.
Co-authorship network of co-authors of Yuichiro Kaneko
This figure shows the co-authorship network connecting the top 25 collaborators of Yuichiro Kaneko. A scholar is included among the top collaborators of Yuichiro Kaneko 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 Yuichiro Kaneko. Yuichiro Kaneko 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 | 9 | |
| 3 | 13 | |
| 4 | 4 | |
| 5 | 101 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 27 | |
| 12 | 1 | |
| 13 | Development of Framework for Integrated Transport Information Database using Cloud Computing System | 0 |
| 14 | 1 | |
| 15 | 3 | |
| 16 | Influence of Chronic Delays in Tokyo Urban Rail Service on Passenger Behaviours and Perceptions | 1 |
| 17 | Collaborative Comparison of Earthquake Simulators | 1 |
| 18 | Choice of travel demand forecast models: comparative analysis in urban rail route choice | 2 |
| 19 | 2 | |
| 20 | STUDY OF ABNORMAL INCIDENT DETECTION AIMED AT AUTOMATIC WIDE-AREA TRAFFIC FLOW MONITORING | 5 |
About Yuichiro Kaneko
Yuichiro Kaneko is a scholar working on Transportation, Rheumatology and Genetics, having authored 64 papers that have together received 915 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (21 papers), Chronic Lymphocytic Leukemia Research (16 papers) and Lymphoma Diagnosis and Treatment (13 papers). The work is most often cited by research in Rheumatology (357 citations), Genetics (242 citations) and Ophthalmology (120 citations). Yuichiro Kaneko has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Yoshiya Tanaka, Tsutomu Takeuchi, Manabu Iwasaki, Hironori Kato, Mitsuhiro Rokuda, Satoshi Ushijima, Atsushi Kawakami, Kyoko Ohno‐Matsui, Sakae Tanaka and Muka Moriyama. Their work appears in journals such as Annals of Oncology, Annals of the Rheumatic Diseases and Stem Cells.
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.