Wang Ling
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
Papers in ⓘ
- Oncology 8
- Cancer Cells and Metastasis 2
- Cancer-related Molecular Pathways 2
- Peptidase Inhibition and Analysis 2
- Co-authors
- Dianxing Sun (1 shared paper)Dong Li (1 shared paper)Fubiao Kang (1 shared paper)Haijun Li (1 shared paper)Jin‐Kun Wen (1 shared paper)Mei Han (1 shared paper)Bin Liu (1 shared paper)Jian Qi (1 shared paper)
- Journals
- Hypertension Research (3 papers)Tumor Biology (3 papers)Chinese Journal of Chemistry (1 paper)Molecular Therapy — Oncolytics (1 paper)Bioactive Materials (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Wang Ling
31 papers receiving 781 citations
Peers
Comparison fields: 5 of 93
- Cancer Research 171
- Oncology 269
- Immunology 163
- Molecular Biology 473
- Immunology and Allergy 24
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 | 220 | |
| 2 | 2015 | 131 | |
| 3 | 2007 | 65 | |
| 4 | 2015 | 45 | |
| 5 | 2013 | 39 | |
| 6 | 2011 | 38 | |
| 7 | 2008 | 35 | |
| 8 | 2018 | 32 | |
| 9 | 2022 | 30 | |
| 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 Cancer Research, Oncology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Anesthesiology and Pain Medicine, having authored 32 papers that have together received 802 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Cancer Cells and Metastasis (2 papers), Infant Development and Preterm Care (2 papers), Cancer-related Molecular Pathways (2 papers), Sleep and related disorders (2 papers), RNA Interference and Gene Delivery (2 papers), Cancer-related gene regulation (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Cancer Research (171 citations), Oncology (269 citations), Immunology (163 citations), Molecular Biology (473 citations) and Immunology and Allergy (24 citations). Wang Ling has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Dianxing Sun, Dong Li, Fubiao Kang, Haijun Li, Jin‐Kun Wen, Mei Han, Bin Liu, Jian Qi, Peetra U. Magnusson and Hideo Mugishima. Their work appears in journals such as Hypertension Research, Tumor Biology, Chinese Journal of Chemistry, Molecular Therapy — Oncolytics and Bioactive Materials.
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.