Luqiang Wang
Impact in
- Rheumatology top 10%
- Osteoarthritis Treatment and Mechanisms
- Genetics top 10%
- Mesenchymal stem cell research
- Chronic Lymphocytic Leukemia Research
Papers in
- Oncology 12
- CAR-T cell therapy research 5
- Bone health and treatments 4
- HER2/EGFR in Cancer Research 3
-
- TGF-β signaling in diseases 3
- Co-authors
- Ling Qin (11 shared papers)Abhishek Chandra (4 shared papers)Wei Tong (4 shared papers)Haoruo Jia (4 shared papers)John Radford (7 shared papers)Brad S. Kahl (5 shared papers)Carmelo Carlo‐Stella (6 shared papers)Paolo F. Caimi (4 shared papers)
- Journals
- Journal of Bone and Mineral Research (4 papers)Blood (3 papers)Stem Cells (1 paper)Haematologica (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Luqiang Wang
25 papers receiving 501 citations
Peers
Comparison fields: 5 of 66
- Rheumatology 138
- Genetics 95
- Pathology and Forensic Medicine 149
- Oncology 222
- Orthopedics and Sports Medicine 34
Countries citing papers authored by Luqiang Wang
This map shows the geographic impact of Luqiang 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 Luqiang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luqiang Wang more than expected).
Fields of papers citing papers by Luqiang Wang
This network shows the impact of papers produced by Luqiang 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 Luqiang Wang. The network helps show where Luqiang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Luqiang 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 122 | |
| 2 | 2016 | 81 | |
| 3 | 2017 | 53 | |
| 4 | 2019 | 36 | |
| 5 | 2020 | 28 | |
| 6 | 2017 | 28 | |
| 7 | 2019 | 28 | |
| 8 | 2023 | 23 | |
| 9 | 2015 | 19 | |
| 10 | 2018 | 15 | |
| 11 | 2020 | 14 | |
| 12 | 2021 | 11 | |
| 13 | 2023 | 10 | |
| 14 | 2021 | 8 | |
| 15 | 2020 | 6 | |
| 16 | 2011 | 5 | |
| 17 | 2018 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2023 | 2 |
About Luqiang Wang
Luqiang Wang is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Genetics and Organic Chemistry, having authored 26 papers that have together received 508 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Bone health and treatments (4 papers), TGF-β signaling in diseases (3 papers), Osteoarthritis Treatment and Mechanisms (3 papers), HER2/EGFR in Cancer Research (3 papers) and Synthesis and pharmacology of benzodiazepine derivatives (3 papers). The work is most often cited by research in Rheumatology (138 citations), Genetics (95 citations), Pathology and Forensic Medicine (149 citations), Oncology (222 citations) and Orthopedics and Sports Medicine (34 citations). Luqiang Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Ling Qin, Abhishek Chandra, Wei Tong, Haoruo Jia, John Radford, Brad S. Kahl, Carmelo Carlo‐Stella, Paolo F. Caimi, Robert J. Tower and Melhem Solh. Their work appears in journals such as Journal of Bone and Mineral Research, Blood, Stem Cells, Haematologica and Journal of Clinical Oncology.
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.