Wang Ling
Impact in
-
- Cancer Immunotherapy and Biomarkers
-
- Breast Cancer Treatment Studies
- MicroRNA in disease regulation
Papers in
- Oncology 6
- Cancer Immunotherapy and Biomarkers 2
- Lymphatic System and Diseases 2
- Cancer-related Molecular Pathways 2
-
- Diet, Metabolism, and Disease 3
- Natural Antidiabetic Agents Studies 3
- Co-authors
- Dong Li (1 shared paper)Dianxing Sun (1 shared paper)Haijun Li (1 shared paper)Fubiao Kang (1 shared paper)Bin Liu (1 shared paper)Mei Han (1 shared paper)Jin‐Kun Wen (1 shared paper)Tone Berge (1 shared paper)
- Journals
- Tumor Biology (3 papers)Hypertension Research (3 papers)Engineered Science (1 paper)Cancer Cell International (1 paper)Anti-Cancer Drugs (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Wang Ling
27 papers receiving 766 citations
Peers
Comparison fields: 5 of 66
- Oncology 172
- Cancer Research 90
- Molecular Biology 324
- Hepatology 29
- Immunology 52
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 232 | |
| 2 | 2015 | 142 | |
| 3 | 2007 | 64 | |
| 4 | 2015 | 48 | |
| 5 | 2013 | 41 | |
| 6 | 2008 | 38 | |
| 7 | 2011 | 36 | |
| 8 | 2018 | 33 | |
| 9 | 2020 | 29 | |
| 10 | 2023 | 20 | |
| 11 | 2000 | 16 | |
| 12 | 2018 | 16 | |
| 13 | 2003 | 15 | |
| 14 | Decreased Expression of Tumor-suppressor Gene LKB1 Correlates with Poor Prognosis in Human Gastric Cancer. | 2016 | 11 |
| 15 | 2007 | 8 | |
| 16 | 2001 | 6 | |
| 17 | 2009 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2013 | 3 |
About Wang Ling
Wang Ling is a scholar working on Oncology, Endocrinology, Diabetes and Metabolism, Complementary and alternative medicine, Cancer Research and Molecular Biology, having authored 27 papers that have together received 782 indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (3 papers), Natural Antidiabetic Agents Studies (3 papers), Cell death mechanisms and regulation (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Lymphatic System and Diseases (2 papers), Cancer-related Molecular Pathways (2 papers), Lung Cancer Treatments and Mutations (1 paper) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Oncology (172 citations), Cancer Research (90 citations), Molecular Biology (324 citations), Hepatology (29 citations) and Immunology (52 citations). Wang Ling has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Dong Li, Dianxing Sun, Haijun Li, Fubiao Kang, Bin Liu, Mei Han, Jin‐Kun Wen, Tone Berge, Peetra Ulrica Magnusson and Jiong Wu. Their work appears in journals such as Tumor Biology, Hypertension Research, Engineered Science, Cancer Cell International and Anti-Cancer Drugs.
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.