Bing Ge
Impact in
- Genetics top 2%
- Genetic Associations and Epidemiology
- Genetic Syndromes and Imprinting
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Mitochondrial Function and Pathology
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
-
- Genomics and Chromatin Dynamics 13
- Epigenetics and DNA Methylation 12
- RNA Research and Splicing 7
- Genetics 22
- Genetic Associations and Epidemiology 11
- Genomic variations and chromosomal abnormalities 5
- Co-authors
- Thomas J. Hudson (19 shared papers)Tomi Pastinen (30 shared papers)Tony Kwan (12 shared papers)Mathieu Blanchette (4 shared papers)Stephan Busche (3 shared papers)James Wagner (2 shared papers)Eef Harmsen (9 shared papers)Scott Gurd (7 shared papers)
- Journals
- Genome Research (4 papers)Genome biology (4 papers)PLoS Genetics (4 papers)Physiological Genomics (3 papers)Nature Communications (3 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Bing Ge
69 papers receiving 2.9k citations
Bing Ge's Hit Papers
Peers
Comparison fields: 5 of 144
- Genetics 945
- Molecular Biology 1.7k
- Cellular and Molecular Neuroscience 386
- Cancer Research 234
- Neurology 134
Countries citing papers authored by Bing Ge
This map shows the geographic impact of Bing Ge'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 Bing Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Ge more than expected).
Fields of papers citing papers by Bing Ge
This network shows the impact of papers produced by Bing Ge. 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 Bing Ge. The network helps show where Bing Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Ge, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The relationship between DNA methylation, genetic and expression inter-individual variation in untransformed human fibroblasts Hit paper breakdown → | 2014 | 337 |
| 2 | 2000 | 323 | |
| 3 | 2004 | 213 | |
| 4 | 2008 | 185 | |
| 5 | 2001 | 181 | |
| 6 | 2013 | 117 | |
| 7 | 2006 | 110 | |
| 8 | 2005 | 105 | |
| 9 | 2002 | 94 | |
| 10 | 2015 | 90 | |
| 11 | 1999 | 90 | |
| 12 | 2005 | 77 | |
| 13 | 2007 | 74 | |
| 14 | 2005 | 71 | |
| 15 | 1999 | 67 | |
| 16 | 2001 | 65 | |
| 17 | 2015 | 63 | |
| 18 | 2008 | 61 | |
| 19 | 2011 | 57 | |
| 20 | 2010 | 54 |
About Bing Ge
Bing Ge is a scholar working on Molecular Biology, Genetics, Computational Mechanics, Aerospace Engineering and Cancer Research, having authored 78 papers that have together received 3.0k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (13 papers), Epigenetics and DNA Methylation (12 papers), Genetic Associations and Epidemiology (11 papers), Combustion and flame dynamics (8 papers), RNA Research and Splicing (7 papers), Genomic variations and chromosomal abnormalities (5 papers), Heat Transfer Mechanisms (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Genetics (945 citations), Molecular Biology (1.7k citations), Cellular and Molecular Neuroscience (386 citations), Cancer Research (234 citations) and Neurology (134 citations). Bing Ge has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Thomas J. Hudson, Tomi Pastinen, Tony Kwan, Mathieu Blanchette, Stephan Busche, James Wagner, Eef Harmsen, Scott Gurd, Patricia Lepage and Carole Doré. Their work appears in journals such as Genome Research, Genome biology, PLoS Genetics, Physiological Genomics 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.