Bei Wang
Impact in
- Molecular Biology top 5%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- Renal and related cancers
- RNA modifications and cancer
- RNA Research and Splicing
- Oncology top 5%
- Cancer-related Molecular Pathways
- Cancer Cells and Metastasis
Papers in
-
- RNA and protein synthesis mechanisms 5
- RNA Research and Splicing 4
- RNA regulation and disease 4
- Immunology 15
- Immune Cell Function and Interaction 7
- interferon and immune responses 6
- Immunotherapy and Immune Responses 4
- Co-authors
- David J. Rodda (1 shared paper)Yuin‐Han Loh (1 shared paper)Paul Robson (1 shared paper)Huck‐Hui Ng (1 shared paper)Ee Chee Ren (7 shared papers)Ziwei Xiao (6 shared papers)Dandan Niu (2 shared papers)Liyun Lai (1 shared paper)
- Journals
- Nature Communications (3 papers)Scientific Reports (2 papers)Frontiers in Immunology (2 papers)The Journal of Comparative Neurology (2 papers)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Bei Wang
50 papers receiving 2.3k citations
Bei Wang's Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.6k
- Oncology 519
- Developmental Neuroscience 60
- Cancer Research 218
- Immunology 275
Countries citing papers authored by Bei Wang
This map shows the geographic impact of Bei 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 Bei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Wang more than expected).
Fields of papers citing papers by Bei Wang
This network shows the impact of papers produced by Bei 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 Bei Wang. The network helps show where Bei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bei 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Transcriptional Regulation of Nanog by OCT4 and SOX2 Hit paper breakdown → | 2005 | 876 |
| 2 | 2013 | 120 | |
| 3 | 2009 | 112 | |
| 4 | 2022 | 94 | |
| 5 | 2009 | 93 | |
| 6 | 2016 | 88 | |
| 7 | 2005 | 83 | |
| 8 | 2011 | 83 | |
| 9 | 2010 | 74 | |
| 10 | 2012 | 55 | |
| 11 | 2008 | 54 | |
| 12 | 2016 | 52 | |
| 13 | 2017 | 52 | |
| 14 | 2022 | 49 | |
| 15 | 2007 | 47 | |
| 16 | 2013 | 44 | |
| 17 | 2013 | 40 | |
| 18 | 2019 | 36 | |
| 19 | 2020 | 36 | |
| 20 | 2010 | 29 |
About Bei Wang
Bei Wang is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Oncology and Genetics, having authored 56 papers that have together received 2.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), interferon and immune responses (6 papers), Viral gastroenteritis research and epidemiology (5 papers), RNA and protein synthesis mechanisms (5 papers), RNA Research and Splicing (4 papers), RNA regulation and disease (4 papers), Cancer-related Molecular Pathways (4 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Oncology (519 citations), Developmental Neuroscience (60 citations), Cancer Research (218 citations) and Immunology (275 citations). Bei Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include David J. Rodda, Yuin‐Han Loh, Paul Robson, Huck‐Hui Ng, Ee Chee Ren, Ziwei Xiao, Dandan Niu, Liyun Lai, Hui Ling Ko and Zhendong Zhao. Their work appears in journals such as Nature Communications, Scientific Reports, Frontiers in Immunology, The Journal of Comparative Neurology and PLoS ONE.
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.