Daisuke Ujiie
Impact in
-
- Cancer Immunotherapy and Biomarkers
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Oncology 14
- Cancer Immunotherapy and Biomarkers 4
- Colorectal Cancer Treatments and Studies 3
- Inflammatory Biomarkers in Disease Prognosis 3
- Cancer Cells and Metastasis 2
-
- Inflammation biomarkers and pathways 3
- Immune cells in cancer 3
- Co-authors
- Shinji Ohki (14 shared papers)Koji Kono (16 shared papers)Tomoyuki Momma (12 shared papers)Aung Kyi Thar Min (6 shared papers)Mai Ashizawa (8 shared papers)Zenichiro Saze (10 shared papers)Hirokazu Okayama (12 shared papers)Shotaro Fujita (8 shared papers)
- Journals
- Journal of Clinical Oncology (3 papers)Molecular Cancer Research (2 papers)Esophagus (2 papers)Scientific Reports (1 paper)Carcinogenesis (1 paper)
- Partner nations
- Japan
In The Last Decade
Daisuke Ujiie
17 papers receiving 316 citations
Peers
Comparison fields: 5 of 35
- Oncology 172
- Cancer Research 75
- Immunology 83
- Pathology and Forensic Medicine 53
- Molecular Biology 129
Countries citing papers authored by Daisuke Ujiie
This map shows the geographic impact of Daisuke Ujiie'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 Daisuke Ujiie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Ujiie more than expected).
Fields of papers citing papers by Daisuke Ujiie
This network shows the impact of papers produced by Daisuke Ujiie. 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 Daisuke Ujiie. The network helps show where Daisuke Ujiie may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Ujiie, 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 | 2019 | 92 | |
| 2 | 2013 | 43 | |
| 3 | 2019 | 37 | |
| 4 | 2018 | 36 | |
| 5 | 2020 | 27 | |
| 6 | 2019 | 24 | |
| 7 | 2017 | 21 | |
| 8 | 2019 | 9 | |
| 9 | 2021 | 9 | |
| 10 | 2020 | 5 | |
| 11 | 2017 | 4 | |
| 12 | 2018 | 3 | |
| 13 | [A Case of Rectovaginal Fistula after Rectal Cancer Surgery Cured with Estriol Vaginal Tablet and Vaginal Lavage]. | 2019 | 2 |
| 14 | 2019 | 2 | |
| 15 | 2019 | 2 | |
| 16 | 2018 | 1 | |
| 17 | 2018 | 1 | |
| 18 | [Primary Malignant Melanoma of the Gallbladder]. | 2016 | 0 |
About Daisuke Ujiie
Daisuke Ujiie is a scholar working on Oncology, Immunology, Surgery, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 318 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Colorectal Cancer Treatments and Studies (3 papers), Inflammation biomarkers and pathways (3 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), Esophageal Cancer Research and Treatment (3 papers), Immune cells in cancer (3 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Oncology (172 citations), Cancer Research (75 citations), Immunology (83 citations), Pathology and Forensic Medicine (53 citations) and Molecular Biology (129 citations). Daisuke Ujiie has collaborated with scholars based in Japan. Frequent co-authors include Shinji Ohki, Koji Kono, Tomoyuki Momma, Aung Kyi Thar Min, Mai Ashizawa, Zenichiro Saze, Hirokazu Okayama, Shotaro Fujita, Kosaku Mimura and Hisahito Endo. Their work appears in journals such as Journal of Clinical Oncology, Molecular Cancer Research, Esophagus, Scientific Reports and Carcinogenesis.
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.