Genji Takeuchi
Impact in
- Immunology top 10%
- T-cell and Retrovirus Studies
- Immune Cell Function and Interaction
- Dermatology top 5%
- Cutaneous lymphoproliferative disorders research
Papers in
-
- T-cell and Retrovirus Studies 3
- Immune Cell Function and Interaction 3
- Immunotherapy and Immune Responses 1
-
- Chronic Myeloid Leukemia Treatments 1
- Acute Myeloid Leukemia Research 1
- Co-authors
- Hirokazu Komatsu (5 shared papers)Ryuzo Ueda (5 shared papers)Takashi Ishida (4 shared papers)Tadaaki Eimoto (3 shared papers)Shinsuke Iida (3 shared papers)Atae Utsunomiya (2 shared papers)Y Takatsuka (2 shared papers)Atsushi Wakita (3 shared papers)
- Journals
- Cancer Science (1 paper)Clinical Cancer Research (1 paper)International Journal of Hematology (1 paper)Internal Medicine (1 paper)PubMed (3 papers)
- Partner nations
- Japan
In The Last Decade
Genji Takeuchi
7 papers receiving 440 citations
Peers
Comparison fields: 5 of 34
- Immunology 354
- Dermatology 118
- Pathology and Forensic Medicine 140
- Agronomy and Crop Science 75
- Ecology, Evolution, Behavior and Systematics 118
Countries citing papers authored by Genji Takeuchi
This map shows the geographic impact of Genji Takeuchi'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 Genji Takeuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Genji Takeuchi more than expected).
Fields of papers citing papers by Genji Takeuchi
This network shows the impact of papers produced by Genji Takeuchi. 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 Genji Takeuchi. The network helps show where Genji Takeuchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Genji Takeuchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Clinical significance of CCR4 expression in adult T-cell leukemia/lymphoma: its close association with skin involvement and unfavorable outcome. | 2003 | 268 |
| 2 | 2004 | 140 | |
| 3 | 1997 | 15 | |
| 4 | 2005 | 9 | |
| 5 | 2003 | 7 | |
| 6 | [Blastic form of acute erythremia: report of an autopsy case]. | 1991 | 3 |
| 7 | Clinical significance of chromosomal abnormalities in acute leukemia. | 1988 | 2 |
About Genji Takeuchi
Genji Takeuchi is a scholar working on Immunology, Hematology, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 7 papers that have together received 444 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (3 papers), Immune Cell Function and Interaction (3 papers), Lymphoma Diagnosis and Treatment (1 paper), Hemoglobinopathies and Related Disorders (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Acute Myeloid Leukemia Research (1 paper), Viral-associated cancers and disorders (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Immunology (354 citations), Dermatology (118 citations), Pathology and Forensic Medicine (140 citations), Agronomy and Crop Science (75 citations) and Ecology, Evolution, Behavior and Systematics (118 citations). Genji Takeuchi has collaborated with scholars based in Japan. Frequent co-authors include Hirokazu Komatsu, Ryuzo Ueda, Takashi Ishida, Tadaaki Eimoto, Shinsuke Iida, Atae Utsunomiya, Y Takatsuka, Atsushi Wakita, Hiroshi Inagaki and Shigeru Kusumoto. Their work appears in journals such as Cancer Science, Clinical Cancer Research, International Journal of Hematology, Internal Medicine and PubMed.
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.