Ling Wang
Impact in
- Immunology top 1%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Reproductive System and Pregnancy
- Developmental Neuroscience top 1%
Papers in
-
- Bone Metabolism and Diseases 22
- Immunology 89
- Reproductive System and Pregnancy 24
- Immune Cell Function and Interaction 13
- Co-authors
- Da‐Jin Li (33 shared papers)Ildiko Sarosi (2 shared papers)Michael J. Kelley (2 shared papers)William J. Boyle (2 shared papers)David L. Lacey (2 shared papers)Xing-Zhong Xia (2 shared papers)Hailing Hsu (2 shared papers)Jing Lin (14 shared papers)
- Journals
- BioScience Trends (48 papers)Drug Discoveries & Therapeutics (16 papers)PLoS ONE (10 papers)Life Sciences (6 papers)Blood (5 papers)
- Partner nations
- ChinaUnited StatesAustria
In The Last Decade
Ling Wang
443 papers receiving 12.4k citations
Ling Wang's Hit Papers
Peers
Comparison fields: 5 of 174
- Immunology 2.1k
- Developmental Neuroscience 309
- Cancer Research 969
- Reproductive Medicine 512
- Molecular Biology 4.3k
Countries citing papers authored by Ling Wang
This map shows the geographic impact of Ling 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 Ling Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Wang more than expected).
Fields of papers citing papers by Ling Wang
This network shows the impact of papers produced by Ling 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 Ling Wang. The network helps show where Ling Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling 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 470 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Tumor necrosis factor receptor family member RANK mediates osteoclast differentiation and activation induced by osteoprotegerin ligand Hit paper breakdown → | 1999 | 1328 |
| 2 | Neuroprotective effects of brain-derived neurotrophic factor in rodent and primate models of Alzheimer's disease Hit paper breakdown → | 2009 | 845 |
| 3 | 2000 | 479 | |
| 4 | 2013 | 392 | |
| 5 | 1998 | 366 | |
| 6 | 2013 | 289 | |
| 7 | 2011 | 280 | |
| 8 | 2008 | 222 | |
| 9 | 2003 | 188 | |
| 10 | 2011 | 156 | |
| 11 | 2010 | 155 | |
| 12 | 2005 | 130 | |
| 13 | 2003 | 130 | |
| 14 | 2018 | 127 | |
| 15 | 2006 | 125 | |
| 16 | 2017 | 123 | |
| 17 | 2017 | 121 | |
| 18 | 2013 | 118 | |
| 19 | 2014 | 108 | |
| 20 | 2018 | 94 |
About Ling Wang
Ling Wang is a scholar working on Molecular Biology, Immunology, Epidemiology, Reproductive Medicine and Oncology, having authored 470 papers that have together received 12.6k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (24 papers), Bone Metabolism and Diseases (22 papers), Endometriosis Research and Treatment (19 papers), Ovarian function and disorders (18 papers), Estrogen and related hormone effects (16 papers), Immune Cell Function and Interaction (13 papers), Autophagy in Disease and Therapy (13 papers) and Liver Disease Diagnosis and Treatment (11 papers). The work is most often cited by research in Immunology (2.1k citations), Developmental Neuroscience (309 citations), Cancer Research (969 citations), Reproductive Medicine (512 citations) and Molecular Biology (4.3k citations). Ling Wang has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Da‐Jin Li, Ildiko Sarosi, Michael J. Kelley, William J. Boyle, David L. Lacey, Xing-Zhong Xia, Hailing Hsu, Jing Lin, Jan-Ακε Gustafsson and Robin Elliott. Their work appears in journals such as BioScience Trends, Drug Discoveries & Therapeutics, PLoS ONE, Life Sciences and Blood.
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.