Yoko Ueno
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Chronic Myeloid Leukemia Treatments 6
- Acute Myeloid Leukemia Research 4
- Genetics 5
- Chronic Lymphocytic Leukemia Research 5
- Co-authors
- Harold HatchShunsuke TaguchiBo‐Sheng PanHiroshi HiraiYoko NakatsuruHidehito KotaniKatsuyoshi MiyamaPradip K. Majumder
- Journals
- Cancer Research (4 papers)Molecular Cancer Therapeutics (3 papers)Journal of Clinical Oncology (3 papers)Oncotarget (2 papers)Investigational New Drugs (1 paper)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Yoko Ueno
18 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Hematology 268
- Genetics 162
- Oncology 377
- Molecular Biology 901
- Pathology and Forensic Medicine 150
Countries citing papers authored by Yoko Ueno
This map shows the geographic impact of Yoko Ueno'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 Yoko Ueno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoko Ueno more than expected).
Fields of papers citing papers by Yoko Ueno
This network shows the impact of papers produced by Yoko Ueno. 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 Yoko Ueno. The network helps show where Yoko Ueno may publish in the future.
Co-authors
The 25 scholars most cited alongside Yoko Ueno, 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 | 2021 | 2 | |
| 2 | 2019 | 22 | |
| 3 | 2019 | 58 | |
| 4 | 2018 | 16 | |
| 5 | 2017 | 200 | |
| 6 | 2016 | 15 | |
| 7 | 2014 | 49 | |
| 8 | 2014 | 24 | |
| 9 | 2014 | 9 | |
| 10 | 2013 | 2 | |
| 11 | 2013 | 1 | |
| 12 | 2012 | 7 | |
| 13 | 2011 | 9 | |
| 14 | 2011 | 15 | |
| 15 | MK-2206, an Allosteric Akt Inhibitor, Enhances Antitumor Efficacy by Standard Chemotherapeutic Agents or Molecular Targeted Drugs In vitro and In vivo Hit paper breakdown → | 2010 | 760 |
| 16 | 2008 | 65 | |
| 17 | 2008 | 13 | |
| 18 | 2007 | 40 | |
| 19 | 2006 | 56 |
About Yoko Ueno
Yoko Ueno is a scholar working on Hematology, Genetics, Oncology, Pulmonary and Respiratory Medicine and Immunology and Allergy, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (7 papers), Chronic Myeloid Leukemia Treatments (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Acute Myeloid Leukemia Research (4 papers), Lung Cancer Research Studies (4 papers), HER2/EGFR in Cancer Research (3 papers), Colorectal Cancer Treatments and Studies (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Hematology (268 citations), Genetics (162 citations), Oncology (377 citations), Molecular Biology (901 citations) and Pathology and Forensic Medicine (150 citations). Yoko Ueno has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Harold Hatch, Shunsuke Taguchi, Bo‐Sheng Pan, Hiroshi Hirai, Yoko Nakatsuru, Hidehito Kotani, Katsuyoshi Miyama, Pradip K. Majumder, Hiroshi Sootome and Masamichi Mori. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Journal of Clinical Oncology, Oncotarget and Investigational New Drugs.
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.