Bing Ge

8.7k citations
75 papers · 2.9k · h-index 27

Impact in

  • Genetics top 2%
    • Genetic Associations and Epidemiology
    • Genetic Syndromes and Imprinting
    • 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 15
    • Epigenetics and DNA Methylation 14
    • RNA Research and Splicing 8
    • RNA modifications and cancer 5
    • Genetic Associations and Epidemiology 12
    • Genetic Syndromes and Imprinting 7
    • Genomic variations and chromosomal abnormalities 5

Bing Ge

67 papers receiving 2.8k citations

Peers

Bing Ge
Comparison fields: 5 of 144
  • Genetics 1.0k
  • Molecular Biology 1.9k
  • Cellular and Molecular Neuroscience 362
  • Cancer Research 288
  • Neurology 145
Replace Colette Rossier with:
Colette Rossier Switzerland
Dani Bercovich Israel
Ohad S. Birk Israel
Anne E. Kwitek United States
Gen Tamiya Japan
Célia Bádenas Spain
Daniel M. Jordan United States
Erik A. Sistermans Netherlands
Weizhen Ji United States
Boris V. Skryabin Germany
Bing Ge relative to Colette Rossier Switzerland Colette Rossier's profile →
Citations per field
00.5×1.5×
Colette Rossier · 1×
Citations per year

Countries citing papers authored by Bing Ge

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Bing Ge Line = papers co-authored together Bing Ge links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014327
2 2000295
3 2004209
4 2008179
5 2001178
6 2013111
7 2006105
8 2005103
9 201590
10 199987
11 200285
12 200577
13 200569
14 200768
15 199961
16 200861
17 200160
18 201559
19 201157
20 201048

About Bing Ge

Bing Ge is a scholar working on Molecular Biology, Genetics, Computational Mechanics, Aerospace Engineering and Cancer Research, having authored 75 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (15 papers), Epigenetics and DNA Methylation (14 papers), Genetic Associations and Epidemiology (12 papers), RNA Research and Splicing (8 papers), Genetic Syndromes and Imprinting (7 papers), Combustion and flame dynamics (7 papers), RNA modifications and cancer (5 papers) and Genomic variations and chromosomal abnormalities (5 papers). The work is most often cited by research in Genetics (1.0k citations), Molecular Biology (1.9k citations), Cellular and Molecular Neuroscience (362 citations), Cancer Research (288 citations) and Neurology (145 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 biology, PLoS Genetics, Genome Research, Nature Communications and Physiological Genomics.

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.

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