X‐J Wang
Impact in
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- Hair Growth and Disorders
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- Cancer-related molecular mechanisms research
Papers in
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- TGF-β signaling in diseases 3
- Kruppel-like factors research 1
- Hedgehog Signaling Pathway Studies 1
- bioluminescence and chemiluminescence research 1
- Oncology 4
- Pancreatic and Hepatic Oncology Research 2
- Co-authors
- Stephen P. Malkoski (2 shared papers)R. A. White (1 shared paper)Wenhui Qiao (1 shared paper)Xin Xu (1 shared paper)C-X Deng (1 shared paper)Allen Li (1 shared paper)Philip Owens (2 shared papers)Daniel T. Merrick (1 shared paper)
- Journals
- Oncogene (3 papers)Wound Repair and Regeneration (1 paper)Pharmacopsychiatry (1 paper)Journal of the European Academy of Dermatology and Venereology (1 paper)Value in Health (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
X‐J Wang
12 papers receiving 256 citations
Peers
Comparison fields: 5 of 61
- Urology 23
- Cancer Research 47
- Dermatology 26
- Oncology 80
- Molecular Biology 152
Countries citing papers authored by X‐J Wang
This map shows the geographic impact of X‐J 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 X‐J Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites X‐J Wang more than expected).
Fields of papers citing papers by X‐J Wang
This network shows the impact of papers produced by X‐J 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 X‐J Wang. The network helps show where X‐J Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside X‐J 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
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 79 | |
| 2 | 2010 | 76 | |
| 3 | 2015 | 35 | |
| 4 | 2008 | 29 | |
| 5 | 2006 | 26 | |
| 6 | Efficacy and safety of IL-17 inhibitors for patients with psoriatic arthritis: a systematic review and meta-analysis | 2021 | 4 |
| 7 | 2014 | 3 | |
| 8 | 2012 | 2 | |
| 9 | The serum pharmacochemistry studies on Chinese medicine and its complex prescription | 2002 | 2 |
| 10 | 2016 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2004 | 1 |
About X‐J Wang
X‐J Wang is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Pharmacology, having authored 12 papers that have together received 259 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Kruppel-like factors research (1 paper), Breast Cancer Treatment Studies (1 paper), Cancer, Lipids, and Metabolism (1 paper), Hedgehog Signaling Pathway Studies (1 paper), bioluminescence and chemiluminescence research (1 paper) and Skin Protection and Aging (1 paper). The work is most often cited by research in Urology (23 citations), Cancer Research (47 citations), Dermatology (26 citations), Oncology (80 citations) and Molecular Biology (152 citations). X‐J Wang has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Stephen P. Malkoski, R. A. White, Wenhui Qiao, Xin Xu, C-X Deng, Allen Li, Philip Owens, Daniel T. Merrick, Sarah M. Haeger and Joshua J. Thompson. Their work appears in journals such as Oncogene, Wound Repair and Regeneration, Pharmacopsychiatry, Journal of the European Academy of Dermatology and Venereology and Value in Health.
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.