Si Wang
Impact in
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- Effects and risks of endocrine disrupting chemicals
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- Axon Guidance and Neuronal Signaling
Papers in
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- RNA Interference and Gene Delivery 4
- Genetics 16
- Estrogen and related hormone effects 11
- Co-authors
- Toine F. H. Bovee (8 shared papers)Maurizio Pellecchia (3 shared papers)Ivonne M.C.M. Rietjens (9 shared papers)Ad Peijnenburg (7 shared papers)Jeroen C.W. Rijk (5 shared papers)John L. Stebbins (2 shared papers)Jiahong Wang (1 shared paper)Elena B. Pasquale (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (3 papers)Frontiers in Immunology (2 papers)The Journal of Steroid Biochemistry and Molecular Biology (2 papers)Applied immunohistochemistry & molecular morphology (2 papers)Toxicology in Vitro (2 papers)
- Partner nations
- ChinaNetherlandsUnited States
In The Last Decade
Si Wang
67 papers receiving 797 citations
Peers
Comparison fields: 5 of 117
- Health, Toxicology and Mutagenesis 90
- Cellular and Molecular Neuroscience 106
- Oncology 135
- Cancer Research 71
- Molecular Biology 296
Countries citing papers authored by Si Wang
This map shows the geographic impact of Si 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 Si Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Si Wang more than expected).
Fields of papers citing papers by Si Wang
This network shows the impact of papers produced by Si 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 Si Wang. The network helps show where Si Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Si 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 86 | |
| 2 | 2018 | 56 | |
| 3 | 2008 | 37 | |
| 4 | 2015 | 33 | |
| 5 | 2018 | 29 | |
| 6 | 2014 | 28 | |
| 7 | 2017 | 28 | |
| 8 | 2020 | 26 | |
| 9 | 2020 | 24 | |
| 10 | 2013 | 24 | |
| 11 | 2022 | 24 | |
| 12 | 2012 | 21 | |
| 13 | 2016 | 21 | |
| 14 | 2011 | 20 | |
| 15 | 2013 | 20 | |
| 16 | 2011 | 20 | |
| 17 | 2012 | 18 | |
| 18 | 2020 | 17 | |
| 19 | 2019 | 17 | |
| 20 | 2014 | 17 |
About Si Wang
Si Wang is a scholar working on Molecular Biology, Genetics, Oncology, Cell Biology and Cancer Research, having authored 70 papers that have together received 815 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (11 papers), Effects and risks of endocrine disrupting chemicals (6 papers), MicroRNA in disease regulation (5 papers), RNA Interference and Gene Delivery (4 papers), HER2/EGFR in Cancer Research (3 papers), Orthopedic Surgery and Rehabilitation (3 papers), Axon Guidance and Neuronal Signaling (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (90 citations), Cellular and Molecular Neuroscience (106 citations), Oncology (135 citations), Cancer Research (71 citations) and Molecular Biology (296 citations). Si Wang has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Toine F. H. Bovee, Maurizio Pellecchia, Ivonne M.C.M. Rietjens, Ad Peijnenburg, Jeroen C.W. Rijk, John L. Stebbins, Jiahong Wang, Elena B. Pasquale, Mitchell Koolpe and William J. Placzek. Their work appears in journals such as Journal of Medicinal Chemistry, Frontiers in Immunology, The Journal of Steroid Biochemistry and Molecular Biology, Applied immunohistochemistry & molecular morphology and Toxicology in Vitro.
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.