Deise Uema
Impact in
-
- Lung Cancer Research Studies
- HER2/EGFR in Cancer Research
- Cancer Immunotherapy and Biomarkers
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- Lung Cancer Treatments and Mutations
- Lung Cancer Diagnosis and Treatment
Papers in
- Oncology 10
- Lung Cancer Research Studies 5
- HER2/EGFR in Cancer Research 3
-
- Lung Cancer Treatments and Mutations 6
- Lung Cancer Diagnosis and Treatment 3
- Co-authors
- Aaron Lisberg (6 shared papers)Luis Paz‐Ares (6 shared papers)M. Pérol (4 shared papers)Yong Zhang (2 shared papers)Nicolas Girard (3 shared papers)Melissa Johnson (1 shared paper)Myung‐Ju Ahn (1 shared paper)Shunichi Sugawara (4 shared papers)
- Journals
- Annals of Oncology (5 papers)Journal of Clinical Oncology (2 papers)Journal of Thoracic Oncology (2 papers)ESMO Open (1 paper)Breast Cancer Research and Treatment (1 paper)
- Partner nations
- United StatesSpainSouth Korea
In The Last Decade
Deise Uema
15 papers receiving 143 citations
Peers
Comparison fields: 5 of 37
- Oncology 76
- Pulmonary and Respiratory Medicine 47
- Health 8
- Radiology, Nuclear Medicine and Imaging 20
- Health Informatics 1
Countries citing papers authored by Deise Uema
This map shows the geographic impact of Deise Uema'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 Deise Uema with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deise Uema more than expected).
Fields of papers citing papers by Deise Uema
This network shows the impact of papers produced by Deise Uema. 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 Deise Uema. The network helps show where Deise Uema may publish in the future.
Co-authors
The 25 scholars most cited alongside Deise Uema, 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 | 2023 | 39 | |
| 2 | 2024 | 32 | |
| 3 | 2019 | 13 | |
| 4 | 2023 | 13 | |
| 5 | 2016 | 10 | |
| 6 | 2008 | 9 | |
| 7 | 2023 | 6 | |
| 8 | 2024 | 6 | |
| 9 | 2021 | 3 | |
| 10 | 2024 | 3 | |
| 11 | 2017 | 3 | |
| 12 | 2021 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2020 | 0 | |
| 18 | 2025 | 0 |
About Deise Uema
Deise Uema is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Neurology and Epidemiology, having authored 18 papers that have together received 143 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (6 papers), Lung Cancer Research Studies (5 papers), Radiopharmaceutical Chemistry and Applications (3 papers), HER2/EGFR in Cancer Research (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Neuroendocrine Tumor Research Advances (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Oncology (76 citations), Pulmonary and Respiratory Medicine (47 citations), Health (8 citations), Radiology, Nuclear Medicine and Imaging (20 citations) and Health Informatics (1 citation). Deise Uema has collaborated with scholars based in United States, Spain and South Korea. Frequent co-authors include Aaron Lisberg, Luis Paz‐Ares, M. Pérol, Yong Zhang, Nicolas Girard, Melissa Johnson, Myung‐Ju Ahn, Shunichi Sugawara, David Vicente Baz and Manuel Cobo. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, Journal of Thoracic Oncology, ESMO Open and Breast Cancer Research and Treatment.
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.