Wang Ling
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Ubiquitin and proteasome pathways 3
- Metabolism, Diabetes, and Cancer 2
- Angiogenesis and VEGF in Cancer 2
- Oncology 5
- Cancer Cells and Metastasis 2
- Cancer-related Molecular Pathways 2
- Co-authors
- Dong Li (1 shared paper)Haijun Li (1 shared paper)Dianxing Sun (1 shared paper)Fubiao Kang (1 shared paper)Mei Han (1 shared paper)Jin‐Kun Wen (1 shared paper)Bin Liu (1 shared paper)Lena Claesson‐Welsh (1 shared paper)
- Journals
- Tumor Biology (3 papers)Hypertension Research (3 papers)Cancer Letters (1 paper)Bioactive Materials (1 paper)Cancer Cell International (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Wang Ling
32 papers receiving 795 citations
Peers
Comparison fields: 5 of 90
- Cancer Research 145
- Oncology 237
- Immunology 146
- Molecular Biology 440
- Immunology and Allergy 22
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 223 | |
| 2 | 2015 | 134 | |
| 3 | 2007 | 64 | |
| 4 | 2015 | 46 | |
| 5 | 2013 | 41 | |
| 6 | 2011 | 38 | |
| 7 | 2008 | 36 | |
| 8 | 2022 | 33 | |
| 9 | 2018 | 32 | |
| 10 | 2020 | 28 | |
| 11 | 2023 | 20 | |
| 12 | 2005 | 19 | |
| 13 | 2000 | 16 | |
| 14 | 2003 | 15 | |
| 15 | 2018 | 14 | |
| 16 | Decreased Expression of Tumor-suppressor Gene LKB1 Correlates with Poor Prognosis in Human Gastric Cancer. | 2016 | 11 |
| 17 | 2007 | 8 | |
| 18 | 2001 | 6 | |
| 19 | 2009 | 5 | |
| 20 | 2021 | 4 |
About Wang Ling
Wang Ling is a scholar working on Molecular Biology, Oncology, Cancer Research, Pediatrics, Perinatology and Child Health and Epidemiology, having authored 32 papers that have together received 814 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Maternal Mental Health During Pregnancy and Postpartum (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Cancer Cells and Metastasis (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Diet, Metabolism, and Disease (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Cancer Research (145 citations), Oncology (237 citations), Immunology (146 citations), Molecular Biology (440 citations) and Immunology and Allergy (22 citations). Wang Ling has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Dong Li, Haijun Li, Dianxing Sun, Fubiao Kang, Mei Han, Jin‐Kun Wen, Bin Liu, Lena Claesson‐Welsh, Peetra U. Magnusson and Hideo Mugishima. Their work appears in journals such as Tumor Biology, Hypertension Research, Cancer Letters, Bioactive Materials and Cancer Cell International.
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.