Kyoko Ueda
Impact in
-
- Lymphoma Diagnosis and Treatment
- Nephrology top 10%
- Dialysis and Renal Disease Management
Papers in
-
- Lymphoma Diagnosis and Treatment 18
- Oncology 10
- Viral-associated cancers and disorders 4
- Co-authors
- Kiyohiko Hatake (26 shared papers)Takeshi Zendo (1 shared paper)Tomoko Higuchi (2 shared papers)Kenji Sonomoto (1 shared paper)Jiro Nakayama (1 shared paper)Masanori Fukao (1 shared paper)Kengo Takeuchi (20 shared papers)Naoko Tsuyama (18 shared papers)
- Journals
- Blood (10 papers)Hematological Oncology (3 papers)Supportive Care in Cancer (2 papers)Applied Microbiology and Biotechnology (1 paper)Systematic and Applied Microbiology (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Kyoko Ueda
45 papers receiving 790 citations
Peers
Comparison fields: 5 of 106
- Pathology and Forensic Medicine 195
- Nephrology 61
- Food Science 147
- Oncology 171
- Genetics 59
Countries citing papers authored by Kyoko Ueda
This map shows the geographic impact of Kyoko 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 Kyoko Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyoko Ueda more than expected).
Fields of papers citing papers by Kyoko Ueda
This network shows the impact of papers produced by Kyoko 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 Kyoko Ueda. The network helps show where Kyoko Ueda may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyoko Ueda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 132 | |
| 2 | 2013 | 105 | |
| 3 | 2003 | 100 | |
| 4 | 2016 | 94 | |
| 5 | 2017 | 55 | |
| 6 | 2008 | 53 | |
| 7 | 2011 | 41 | |
| 8 | 1995 | 35 | |
| 9 | 2008 | 24 | |
| 10 | 2017 | 22 | |
| 11 | 2009 | 21 | |
| 12 | 2005 | 16 | |
| 13 | 2012 | 10 | |
| 14 | 2017 | 10 | |
| 15 | 2017 | 8 | |
| 16 | 2012 | 8 | |
| 17 | [Evaluation of the polymerase chain reaction for diagnosis of tuberculous meningitis]. | 1995 | 8 |
| 18 | 2005 | 7 | |
| 19 | Protective effect of lipo-prostaglandin E1 on post-ischemic renal failure. | 1987 | 7 |
| 20 | 2015 | 6 |
About Kyoko Ueda
Kyoko Ueda is a scholar working on Pathology and Forensic Medicine, Oncology, Molecular Biology, Genetics and Neurology, having authored 46 papers that have together received 821 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (18 papers), Chronic Lymphocytic Leukemia Research (7 papers), CNS Lymphoma Diagnosis and Treatment (6 papers), Viral-associated cancers and disorders (4 papers), Multiple and Secondary Primary Cancers (3 papers), Cancer Genomics and Diagnostics (3 papers), DNA Repair Mechanisms (2 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (195 citations), Nephrology (61 citations), Food Science (147 citations), Oncology (171 citations) and Genetics (59 citations). Kyoko Ueda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kiyohiko Hatake, Takeshi Zendo, Tomoko Higuchi, Kenji Sonomoto, Jiro Nakayama, Masanori Fukao, Kengo Takeuchi, Naoko Tsuyama, Yukinobu Tohya and Ryoko Kawabata. Their work appears in journals such as Blood, Hematological Oncology, Supportive Care in Cancer, Applied Microbiology and Biotechnology and Systematic and Applied Microbiology.
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.