Ji Wang
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 5%
- RNA modifications and cancer
- Circular RNAs in diseases
- Extracellular vesicles in disease
- RNA Research and Splicing
Papers in
-
- RNA modifications and cancer 6
- Epigenetics and DNA Methylation 5
- RNA Research and Splicing 4
-
- MicroRNA in disease regulation 10
- Cancer-related molecular mechanisms research 7
- Co-authors
- Shaogang Qu (6 shared papers)Dongmei Mai (3 shared papers)Fushun Wang (1 shared paper)Jingwei Yu (2 shared papers)Jichun Zhou (4 shared papers)Robert F. Place (2 shared papers)Linbo Wang (4 shared papers)Zhongxia Qi (2 shared papers)
- Journals
- Oncotarget (7 papers)Medicine (4 papers)Biochemical and Biophysical Research Communications (4 papers)Scientific Reports (3 papers)Cell Death and Disease (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ji Wang
137 papers receiving 4.0k citations
Ji Wang's Hit Papers
Peers
Comparison fields: 5 of 131
- Cancer Research 1.0k
- Molecular Biology 2.0k
- Immunology 456
- Oncology 482
- Pulmonary and Respiratory Medicine 473
Countries citing papers authored by Ji Wang
This map shows the geographic impact of Ji Wang'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 Ji Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Wang more than expected).
Fields of papers citing papers by Ji Wang
This network shows the impact of papers produced by Ji Wang. 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 Ji Wang. The network helps show where Ji Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Wang, 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 145 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Metformin induces Ferroptosis by inhibiting UFMylation of SLC7A11 in breast cancer Hit paper breakdown → | 2021 | 285 |
| 2 | 2014 | 247 | |
| 3 | 2011 | 247 | |
| 4 | 2017 | 206 | |
| 5 | 2016 | 188 | |
| 6 | 2016 | 181 | |
| 7 | 2020 | 169 | |
| 8 | 2012 | 116 | |
| 9 | 2013 | 104 | |
| 10 | 2018 | 83 | |
| 11 | 2017 | 78 | |
| 12 | 2016 | 76 | |
| 13 | Up-regulation of Tim-3 is associated with poor prognosis of patients with colon cancer. | 2015 | 75 |
| 14 | 2018 | 72 | |
| 15 | 2012 | 68 | |
| 16 | 2019 | 65 | |
| 17 | 2016 | 57 | |
| 18 | 2010 | 56 | |
| 19 | 2014 | 56 | |
| 20 | 2016 | 55 |
About Ji Wang
Ji Wang is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Surgery, having authored 145 papers that have together received 4.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Neuroscience and Neuropharmacology Research (7 papers), interferon and immune responses (7 papers), Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (6 papers), Epigenetics and DNA Methylation (5 papers), RNA Research and Splicing (4 papers) and Amino Acid Enzymes and Metabolism (4 papers). The work is most often cited by research in Cancer Research (1.0k citations), Molecular Biology (2.0k citations), Immunology (456 citations), Oncology (482 citations) and Pulmonary and Respiratory Medicine (473 citations). Ji Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Shaogang Qu, Dongmei Mai, Fushun Wang, Jingwei Yu, Jichun Zhou, Robert F. Place, Linbo Wang, Zhongxia Qi, Long-Cheng Li and Vera Huang. Their work appears in journals such as Oncotarget, Medicine, Biochemical and Biophysical Research Communications, Scientific Reports and Cell Death and Disease.
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.