Junwei Wu
Impact in
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
- Aquatic Science top 5%
- Aquaculture Nutrition and Growth
Papers in
- Oncology 18
- Colorectal Cancer Treatments and Studies 6
- Cancer Immunotherapy and Biomarkers 3
- Lung Cancer Research Studies 3
- Pancreatic and Hepatic Oncology Research 3
- Co-authors
- Ursula A. Germann (1 shared paper)Yao Yao (1 shared paper)Keisuke Kuida (1 shared paper)Michael Su (1 shared paper)Wei Li (1 shared paper)Diane M. Boucher (1 shared paper)Jinliang Zhao (2 shared papers)Guanqun Chen (1 shared paper)
- Journals
- Annals of Oncology (4 papers)Molecular Cancer (2 papers)Scientific Reports (2 papers)International Journal of Medical Sciences (2 papers)Horticulturae (2 papers)
- Partner nations
- ChinaNetherlandsUnited States
In The Last Decade
Junwei Wu
61 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 131
- Clinical Biochemistry 75
- Aquatic Science 71
- Pollution 94
- Obstetrics and Gynecology 52
- Cancer Research 99
Countries citing papers authored by Junwei Wu
This map shows the geographic impact of Junwei Wu'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 Junwei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junwei Wu more than expected).
Fields of papers citing papers by Junwei Wu
This network shows the impact of papers produced by Junwei Wu. 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 Junwei Wu. The network helps show where Junwei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junwei Wu, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 257 | |
| 2 | 2009 | 80 | |
| 3 | 2013 | 70 | |
| 4 | 2018 | 61 | |
| 5 | 2015 | 58 | |
| 6 | 2006 | 58 | |
| 7 | 2018 | 47 | |
| 8 | 2020 | 47 | |
| 9 | 2017 | 38 | |
| 10 | 2021 | 37 | |
| 11 | 2010 | 36 | |
| 12 | 2016 | 28 | |
| 13 | 2019 | 24 | |
| 14 | 2021 | 21 | |
| 15 | 2019 | 21 | |
| 16 | 2020 | 17 | |
| 17 | 2023 | 15 | |
| 18 | 2024 | 14 | |
| 19 | 2023 | 12 | |
| 20 | 2021 | 11 |
About Junwei Wu
Junwei Wu is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Surgery and Cancer Research, having authored 71 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (6 papers), Colorectal Cancer Treatments and Studies (6 papers), Wastewater Treatment and Nitrogen Removal (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Genetic factors in colorectal cancer (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Lung Cancer Research Studies (3 papers) and Pancreatic and Hepatic Oncology Research (3 papers). The work is most often cited by research in Clinical Biochemistry (75 citations), Aquatic Science (71 citations), Pollution (94 citations), Obstetrics and Gynecology (52 citations) and Cancer Research (99 citations). Junwei Wu has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Ursula A. Germann, Yao Yao, Keisuke Kuida, Michael Su, Wei Li, Diane M. Boucher, Jinliang Zhao, Guanqun Chen, Chong Li and Christian Larbi Ayisi. Their work appears in journals such as Annals of Oncology, Molecular Cancer, Scientific Reports, International Journal of Medical Sciences and Horticulturae.
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.