Kohji Ueda
- Epidemiology top 5%
- Immunology top 5%
- Surgery top 10%
- Hematology top 2%
- Molecular Biology
- Co-authors
- Junichiro FukushigeYoshinori OkamotoNakao KojimaChiaki MiyazakiEiichi IshiiHideki AkedaKenji OkadaAkinobu Matsuzaki
- Topics
- Parvovirus B19 Infection Studies (17 papers)Virology and Viral Diseases (15 papers)Genetic factors in colorectal cancer (12 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Kohji Ueda
215 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 132
- Epidemiology 834
- Immunology 760
- Surgery 514
- Hematology 477
- Molecular Biology 471
Countries citing papers authored by Kohji Ueda
This map shows the geographic impact of Kohji Ueda'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 Kohji Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kohji Ueda more than expected).
Fields of papers citing papers by Kohji Ueda
This network shows the impact of papers produced by Kohji Ueda. 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 Kohji Ueda. The network helps show where Kohji Ueda may publish in the future.
Co-authorship network of co-authors of Kohji Ueda
This figure shows the co-authorship network connecting the top 25 collaborators of Kohji Ueda. A scholar is included among the top collaborators of Kohji Ueda 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 Kohji Ueda. Kohji Ueda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 0 | |
| 3 | 20 | |
| 4 | 7 | |
| 5 | 25 | |
| 6 | 9 | |
| 7 | 16 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 17 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 9 | |
| 15 | Serum interleukin-1 and tumor necrosis factor activities in febrile children with acute leukemia. | 5 |
| 16 | Bleomycin cleaves DNA depending on DNA primary, secondary, and tertiary structures. | 1 |
| 17 | 37 | |
| 18 | Clinical Experience with a Live attenuated Rubella Virus Vaccine,Matsuba Strain GMK3SK60RK6,in Special Reference to 6-Year Follw-up of Rubella Antibodies and Prevention of Rubella Infection During an Epidemic | 1 |
| 19 | Dermatoglyphics in congenital rubella syndrome with congenital heart disease. | 3 |
| 20 | 1 |
About Kohji Ueda
Kohji Ueda is a scholar working on Hematology, Immunology and Infectious Diseases, having authored 225 papers that have together received 3.6k indexed citations. Recurring topics across this work include Parvovirus B19 Infection Studies (17 papers), Virology and Viral Diseases (15 papers) and Genetic factors in colorectal cancer (12 papers). The work is most often cited by research in Hematology (477 citations), Immunology (760 citations) and Infectious Diseases (469 citations). Kohji Ueda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Junichiro Fukushige, Yoshinori Okamoto, Nakao Kojima, Chiaki Miyazaki, Eiichi Ishii, Hideki Akeda, Kenji Okada, Akinobu Matsuzaki, Yumi Mizuno and Koichi Kusuhara. Their work appears in journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Clinical Infectious 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.