Junli Wu
Impact in
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
Papers in
- Co-authors
- Yi Miao (43 shared papers)Kuirong Jiang (44 shared papers)Wentao Gao (43 shared papers)Jishu Wei (41 shared papers)Yunpeng Peng (10 shared papers)Zekuan Xu (8 shared papers)Cuncai Dai (17 shared papers)Yi Zhu (4 shared papers)
- Journals
- Pancreatology (8 papers)Langenbeck s Archives of Surgery (3 papers)Scientific Reports (3 papers)World Journal of Surgery (3 papers)BMC Cancer (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Junli Wu
74 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 93
- Oncology 647
- Cancer Research 169
- Immunology 191
- Hepatology 34
- Epidemiology 103
Countries citing papers authored by Junli Wu
This map shows the geographic impact of Junli 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 Junli Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junli Wu more than expected).
Fields of papers citing papers by Junli Wu
This network shows the impact of papers produced by Junli 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 Junli Wu. The network helps show where Junli Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junli 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 139 | |
| 2 | 2014 | 100 | |
| 3 | 2017 | 99 | |
| 4 | 2014 | 81 | |
| 5 | 2019 | 73 | |
| 6 | 2020 | 69 | |
| 7 | 2012 | 54 | |
| 8 | 2013 | 54 | |
| 9 | 2011 | 51 | |
| 10 | 2017 | 47 | |
| 11 | 2018 | 47 | |
| 12 | 2021 | 44 | |
| 13 | 2009 | 43 | |
| 14 | 2020 | 41 | |
| 15 | 2018 | 40 | |
| 16 | 2023 | 38 | |
| 17 | 2022 | 34 | |
| 18 | 2011 | 28 | |
| 19 | 2017 | 28 | |
| 20 | 2016 | 27 |
About Junli Wu
Junli Wu is a scholar working on Oncology, Surgery, Cancer Research, Immunology and Polymers and Plastics, having authored 77 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (33 papers), Pancreatitis Pathology and Treatment (7 papers), Neuroendocrine Tumor Research Advances (5 papers), Cancer Cells and Metastasis (3 papers), Polymer Science and Applications (3 papers), MicroRNA in disease regulation (3 papers), Advanced Numerical Analysis Techniques (3 papers) and Fuel Cells and Related Materials (2 papers). The work is most often cited by research in Oncology (647 citations), Cancer Research (169 citations), Immunology (191 citations), Hepatology (34 citations) and Epidemiology (103 citations). Junli Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yi Miao, Kuirong Jiang, Wentao Gao, Jishu Wei, Yunpeng Peng, Zekuan Xu, Cuncai Dai, Yi Zhu, Zipeng Lu and Jingjing Zhang. Their work appears in journals such as Pancreatology, Langenbeck s Archives of Surgery, Scientific Reports, World Journal of Surgery and BMC Cancer.
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.