Xiangdan Wang
Impact in
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- Monoclonal and Polyclonal Antibodies Research
- Immunology top 10%
- Biosimilars and Bioanalytical Methods
Papers in
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- Protein purification and stability 5
- Angiogenesis and VEGF in Cancer 3
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- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- Jihong Yang (4 shared papers)Julie A. Stenken (4 shared papers)Ihsan Nijem (2 shared papers)Cynthia Quan (1 shared paper)Paul A. Motchnik (1 shared paper)Devin B. Tesar (1 shared paper)Yung‐Hsiang Kao (1 shared paper)Tony Cano (1 shared paper)
- Journals
- mAbs (3 papers)Analytical Chemistry (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Molecular Pharmaceutics (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Xiangdan Wang
17 papers receiving 687 citations
Peers
Comparison fields: 5 of 81
- Radiology, Nuclear Medicine and Imaging 396
- Immunology 219
- Ophthalmology 68
- Molecular Biology 466
- Rheumatology 73
Countries citing papers authored by Xiangdan Wang
This map shows the geographic impact of Xiangdan 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 Xiangdan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangdan Wang more than expected).
Fields of papers citing papers by Xiangdan Wang
This network shows the impact of papers produced by Xiangdan 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 Xiangdan Wang. The network helps show where Xiangdan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiangdan 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 | 2010 | 340 | |
| 2 | 2011 | 92 | |
| 3 | 2014 | 71 | |
| 4 | 2014 | 40 | |
| 5 | 2016 | 31 | |
| 6 | 2007 | 23 | |
| 7 | 2020 | 23 | |
| 8 | 2008 | 22 | |
| 9 | 2016 | 21 | |
| 10 | 2006 | 18 | |
| 11 | 2013 | 10 | |
| 12 | 2005 | 10 | |
| 13 | 2022 | 7 | |
| 14 | Analysis of the binding affinity of vascular endothelial growth factor A (VEGF) to ranibizumab, aflibercept and bevacizumab | 2013 | 5 |
| 15 | 2024 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2023 | 2 |
About Xiangdan Wang
Xiangdan Wang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Pharmacology and Ophthalmology, having authored 17 papers that have together received 725 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Protein purification and stability (5 papers), Biosimilars and Bioanalytical Methods (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Complement system in diseases (2 papers), Cell Adhesion Molecules Research (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers) and Retinal Diseases and Treatments (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (396 citations), Immunology (219 citations), Ophthalmology (68 citations), Molecular Biology (466 citations) and Rheumatology (73 citations). Xiangdan Wang has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Jihong Yang, Julie A. Stenken, Ihsan Nijem, Cynthia Quan, Paul A. Motchnik, Devin B. Tesar, Yung‐Hsiang Kao, Tony Cano, Amita Joshi and Zhenling Yao. Their work appears in journals such as mAbs, Analytical Chemistry, Journal of Pharmacology and Experimental Therapeutics, Molecular Pharmaceutics and Nature Communications.
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.