Hiroto Ueda
Impact in
- Reproductive Medicine top 10%
- Sperm and Testicular Function
-
- Colorectal Cancer Treatments and Studies
- HER2/EGFR in Cancer Research
Papers in
-
- Gastric Cancer Management and Outcomes 4
- Lung Cancer Treatments and Mutations 3
- Surgery 5
- Esophageal Cancer Research and Treatment 3
- Co-authors
- Kazuo Sengoku (5 shared papers)Gaku Minase (4 shared papers)Toshinobu Miyamoto (4 shared papers)Kazuhiko Nakagawa (8 shared papers)Tetsuro Shinoda (1 shared paper)Kiyoshi Hiruma (1 shared paper)Masayuki Takeda (6 shared papers)Takeshi Shin (1 shared paper)
- Journals
- Oncotarget (3 papers)Journal of Clinical Oncology (1 paper)Investigational New Drugs (1 paper)Journal of Thoracic Oncology (1 paper)Journal of Insect Physiology (1 paper)
- Partner nations
- Japan
In The Last Decade
Hiroto Ueda
15 papers receiving 313 citations
Peers
Comparison fields: 5 of 53
- Reproductive Medicine 67
- Oncology 104
- Genetics 71
- Cancer Research 32
- Pulmonary and Respiratory Medicine 59
Countries citing papers authored by Hiroto Ueda
This map shows the geographic impact of Hiroto 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 Hiroto Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroto Ueda more than expected).
Fields of papers citing papers by Hiroto Ueda
This network shows the impact of papers produced by Hiroto 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 Hiroto Ueda. The network helps show where Hiroto Ueda may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroto 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
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 55 | |
| 2 | 2017 | 50 | |
| 3 | 2015 | 47 | |
| 4 | 2009 | 34 | |
| 5 | 2013 | 29 | |
| 6 | 2018 | 20 | |
| 7 | 2016 | 20 | |
| 8 | 2015 | 12 | |
| 9 | 2016 | 12 | |
| 10 | 2018 | 12 | |
| 11 | 2017 | 9 | |
| 12 | 2016 | 7 | |
| 13 | 2017 | 7 | |
| 14 | 2014 | 3 | |
| 15 | 2017 | 1 | |
| 16 | [A Case of Advanced Esophageal Cancer Successfully Treated with Neoadjuvant Chemotherapy Containing 5-FU, Docetaxel. and Nedaplatin Combination Therapy]. | 2018 | 0 |
About Hiroto Ueda
Hiroto Ueda is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Oncology, Hematology and Genetics, having authored 16 papers that have together received 318 indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (4 papers), Colorectal Cancer Treatments and Studies (3 papers), Lung Cancer Treatments and Mutations (3 papers), Sperm and Testicular Function (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), HER2/EGFR in Cancer Research (3 papers), Esophageal Cancer Research and Treatment (3 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Reproductive Medicine (67 citations), Oncology (104 citations), Genetics (71 citations), Cancer Research (32 citations) and Pulmonary and Respiratory Medicine (59 citations). Hiroto Ueda has collaborated with scholars based in Japan. Frequent co-authors include Kazuo Sengoku, Gaku Minase, Toshinobu Miyamoto, Kazuhiko Nakagawa, Tetsuro Shinoda, Kiyoshi Hiruma, Masayuki Takeda, Takeshi Shin, Hiroshi Okada and Takao Tamura. Their work appears in journals such as Oncotarget, Journal of Clinical Oncology, Investigational New Drugs, Journal of Thoracic Oncology and Journal of Insect Physiology.
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.