Wang Ling
Impact in
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- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Cancer Immunotherapy and Biomarkers
Papers in
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- Ubiquitin and proteasome pathways 3
- Metabolism, Diabetes, and Cancer 2
- Cancer-related gene regulation 2
- Angiogenesis and VEGF in Cancer 2
- Co-authors
- Dianxing Sun (1 shared paper)Haijun Li (1 shared paper)Fu-biao Kang (1 shared paper)Dong Li (1 shared paper)Mei Han (1 shared paper)Bin Liu (1 shared paper)Jin‐Kun Wen (1 shared paper)Jiong Wu (1 shared paper)
- Journals
- Hypertension Research (3 papers)Tumor Biology (3 papers)Archives of Biochemistry and Biophysics (1 paper)Chinese Journal of Chemistry (1 paper)The EMBO Journal (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Wang Ling
29 papers receiving 785 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 144
- Oncology 242
- Immunology 145
- Molecular Biology 431
- Immunology and Allergy 23
Countries citing papers authored by Wang Ling
This map shows the geographic impact of Wang Ling'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 Wang Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Ling more than expected).
Fields of papers citing papers by Wang Ling
This network shows the impact of papers produced by Wang Ling. 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 Wang Ling. The network helps show where Wang Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang Ling, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 232 | |
| 2 | 2015 | 139 | |
| 3 | 2007 | 65 | |
| 4 | 2015 | 48 | |
| 5 | 2013 | 41 | |
| 6 | 2008 | 37 | |
| 7 | 2011 | 37 | |
| 8 | 2018 | 32 | |
| 9 | 2020 | 30 | |
| 10 | 2023 | 20 | |
| 11 | 2005 | 19 | |
| 12 | 2000 | 16 | |
| 13 | 2018 | 16 | |
| 14 | 2003 | 15 | |
| 15 | Decreased Expression of Tumor-suppressor Gene LKB1 Correlates with Poor Prognosis in Human Gastric Cancer. | 2016 | 11 |
| 16 | 2007 | 8 | |
| 17 | 2001 | 6 | |
| 18 | 2009 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2023 | 4 |
About Wang Ling
Wang Ling is a scholar working on Molecular Biology, Cancer Research, Oncology, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 29 papers that have together received 800 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Diet, Metabolism, and Disease (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Cancer-related gene regulation (2 papers), Cancer Cells and Metastasis (2 papers), Cancer-related Molecular Pathways (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Cancer Research (144 citations), Oncology (242 citations), Immunology (145 citations), Molecular Biology (431 citations) and Immunology and Allergy (23 citations). Wang Ling has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Dianxing Sun, Haijun Li, Fu-biao Kang, Dong Li, Mei Han, Bin Liu, Jin‐Kun Wen, Jiong Wu, Tone Berge and Lena Claesson‐Welsh. Their work appears in journals such as Hypertension Research, Tumor Biology, Archives of Biochemistry and Biophysics, Chinese Journal of Chemistry and The EMBO Journal.
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.