Wei Jing
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- Rheumatology top 10%
- Bone and Dental Protein Studies
Papers in
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- Ubiquitin and proteasome pathways 2
- Wnt/β-catenin signaling in development and cancer 2
-
- Cancer, Lipids, and Metabolism 2
- MicroRNA in disease regulation 2
- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Xuyu Zhou (7 shared papers)Gang Jin (6 shared papers)Chenghao Shao (4 shared papers)Jian Zhao (5 shared papers)Xiaoyu Fan (4 shared papers)Rui Chen (4 shared papers)Yingqi Zhou (4 shared papers)Bin Song (4 shared papers)
- Journals
- Cell Death and Disease (2 papers)Cancer Letters (1 paper)Scientific Reports (1 paper)JCI Insight (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Wei Jing
15 papers receiving 500 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 151
- Rheumatology 73
- Oncology 102
- Hepatology 26
- Biotechnology 28
Countries citing papers authored by Wei Jing
This map shows the geographic impact of Wei Jing'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 Wei Jing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Jing more than expected).
Fields of papers citing papers by Wei Jing
This network shows the impact of papers produced by Wei Jing. 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 Wei Jing. The network helps show where Wei Jing may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Jing, 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 | 2016 | 76 | |
| 2 | 2011 | 74 | |
| 3 | 2015 | 69 | |
| 4 | 2014 | 43 | |
| 5 | 2015 | 43 | |
| 6 | 2014 | 40 | |
| 7 | 2016 | 35 | |
| 8 | 2022 | 26 | |
| 9 | 2019 | 24 | |
| 10 | 2015 | 21 | |
| 11 | 2021 | 18 | |
| 12 | 2013 | 18 | |
| 13 | 2021 | 9 | |
| 14 | 2018 | 5 | |
| 15 | 2025 | 2 | |
| 16 | 2015 | 0 | |
| 17 | 2025 | 0 |
About Wei Jing
Wei Jing is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Rheumatology, having authored 17 papers that have together received 503 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (4 papers), Bone and Dental Protein Studies (3 papers), Ubiquitin and proteasome pathways (2 papers), Cancer, Lipids, and Metabolism (2 papers), Cancer Cells and Metastasis (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), MicroRNA in disease regulation (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (151 citations), Rheumatology (73 citations), Oncology (102 citations), Hepatology (26 citations) and Biotechnology (28 citations). Wei Jing has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xuyu Zhou, Gang Jin, Chenghao Shao, Jian Zhao, Xiaoyu Fan, Rui Chen, Yingqi Zhou, Bin Song, Minhui Zhu and Yijie Zhang. Their work appears in journals such as Cell Death and Disease, Cancer Letters, Scientific Reports, JCI Insight and PLoS ONE.
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.