Yan C. Wang
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Drug Transport and Resistance Mechanisms
- Cancer Cells and Metastasis
Papers in
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- Glycosylation and Glycoproteins Research 1
- Epigenetics and DNA Methylation 1
- Histone Deacetylase Inhibitors Research 1
- Oncology 4
- Chemokine receptors and signaling 2
- Co-authors
- Branimir I. Šikić (9 shared papers)George E. Durán (8 shared papers)Anamaria Brozović (3 shared papers)Kevin G. Chen (2 shared papers)Brian San Francisco (2 shared papers)Dejan Juric (2 shared papers)Shobha Seetharam (2 shared papers)Linda A. Snyder (2 shared papers)
- Journals
- Cancer Research (3 papers)Molecular Oncology (2 papers)British Journal of Cancer (1 paper)Molecular Cancer Therapeutics (1 paper)JCO Clinical Cancer Informatics (1 paper)
- Partner nations
- United StatesFranceCroatia
In The Last Decade
Yan C. Wang
9 papers receiving 396 citations
Peers
Comparison fields: 5 of 50
- Cancer Research 106
- Oncology 175
- Immunology 85
- Molecular Biology 215
- Reproductive Medicine 15
Countries citing papers authored by Yan C. Wang
This map shows the geographic impact of Yan C. 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 Yan C. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan C. Wang more than expected).
Fields of papers citing papers by Yan C. Wang
This network shows the impact of papers produced by Yan C. 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 Yan C. Wang. The network helps show where Yan C. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan C. 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 | 2014 | 101 | |
| 2 | 2014 | 80 | |
| 3 | 2015 | 76 | |
| 4 | 2005 | 54 | |
| 5 | 2005 | 44 | |
| 6 | 2017 | 42 | |
| 7 | 2016 | 5 | |
| 8 | 2018 | 4 | |
| 9 | 2012 | 1 |
About Yan C. Wang
Yan C. Wang is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 407 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (2 papers), MicroRNA in disease regulation (2 papers), Glycosylation and Glycoproteins Research (1 paper), Epigenetics and DNA Methylation (1 paper), Galectins and Cancer Biology (1 paper), Immunotherapy and Immune Responses (1 paper), Histone Deacetylase Inhibitors Research (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Cancer Research (106 citations), Oncology (175 citations), Immunology (85 citations), Molecular Biology (215 citations) and Reproductive Medicine (15 citations). Yan C. Wang has collaborated with scholars based in United States, France and Croatia. Frequent co-authors include Branimir I. Šikić, George E. Durán, Anamaria Brozović, Kevin G. Chen, Brian San Francisco, Dejan Juric, Shobha Seetharam, Linda A. Snyder, Parul Doshi and Shalini Chaturvedi. Their work appears in journals such as Cancer Research, Molecular Oncology, British Journal of Cancer, Molecular Cancer Therapeutics and JCO Clinical Cancer Informatics.
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.