Clarence Wang
Impact in
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- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
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- Angiogenesis and VEGF in Cancer
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Molecular Biology Techniques and Applications
Papers in
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- Angiogenesis and VEGF in Cancer 2
- Congenital heart defects research 1
- Bioinformatics and Genomic Networks 1
- Molecular Biology Techniques and Applications 1
- RNA and protein synthesis mechanisms 1
- Oncology 1
- Co-authors
- Xiaohong Cao (3 shared papers)Stephen F. Madden (3 shared papers)William Weber (2 shared papers)Beverly A. Teicher (2 shared papers)Douglas Nam (1 shared paper)Sanggyu Lee (1 shared paper)Jianjun Chen (1 shared paper)Janet D. Rowley (1 shared paper)
- Journals
- Neurology (1 paper)Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (1 paper)PubMed (2 papers)
- Partner nations
- United States
In The Last Decade
Clarence Wang
5 papers receiving 313 citations
Peers
Comparison fields: 5 of 63
- Cancer Research 78
- Molecular Biology 237
- Immunology and Allergy 18
- Oncology 55
- Immunology 40
Countries citing papers authored by Clarence Wang
This map shows the geographic impact of Clarence 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 Clarence Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clarence Wang more than expected).
Fields of papers citing papers by Clarence Wang
This network shows the impact of papers produced by Clarence 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 Clarence Wang. The network helps show where Clarence Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Clarence 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 | 2002 | 136 | |
| 2 | Endothelial precursor cells as a model of tumor endothelium: characterization and comparison with mature endothelial cells. | 2003 | 103 |
| 3 | Identification of genes expressed in malignant cells that promote invasion. | 2003 | 66 |
| 4 | 2021 | 11 | |
| 5 | 2021 | 2 |
About Clarence Wang
Clarence Wang is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Economics and Econometrics and Cancer Research, having authored 5 papers that have together received 318 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (2 papers), Congenital heart defects research (1 paper), Bioinformatics and Genomic Networks (1 paper), Computational Drug Discovery Methods (1 paper), Molecular Biology Techniques and Applications (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Cancer Research (78 citations), Molecular Biology (237 citations), Immunology and Allergy (18 citations), Oncology (55 citations) and Immunology (40 citations). Clarence Wang has collaborated with scholars based in United States. Frequent co-authors include Xiaohong Cao, Stephen F. Madden, William Weber, Beverly A. Teicher, Douglas Nam, Sanggyu Lee, Jianjun Chen, Janet D. Rowley, Guolin Zhou and Terry Clark. Their work appears in journals such as Neurology, Proceedings of the National Academy of Sciences, PLoS ONE and PubMed.
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.