Bing Ren

115.9k total citations · 27 hit papers
216 papers, 45.0k citations indexed

About

Bing Ren is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Bing Ren has authored 216 papers receiving a total of 45.0k indexed citations (citations by other indexed papers that have themselves been cited), including 183 papers in Molecular Biology, 29 papers in Genetics and 28 papers in Plant Science. Recurrent topics in Bing Ren's work include Genomics and Chromatin Dynamics (116 papers), Epigenetics and DNA Methylation (62 papers) and RNA Research and Splicing (45 papers). Bing Ren is often cited by papers focused on Genomics and Chromatin Dynamics (116 papers), Epigenetics and DNA Methylation (62 papers) and RNA Research and Splicing (45 papers). Bing Ren collaborates with scholars based in United States, China and Belgium. Bing Ren's co-authors include Jesse R. Dixon, Gary C. Hon, Siddarth Selvaraj, Feng Yue, Ming Hu, Audrey Kim, Yin Shen, Zhen Ye, R. David Hawkins and Jun S. Liu and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Bing Ren

212 papers receiving 44.6k citations

Hit Papers

Topological domains in mammalian genomes ident... 2000 2026 2008 2017 2012 2009 2013 2007 2000 1000 2.0k 3.0k 4.0k

Peers

Bing Ren
Comparison fields: 5 of 200
  • Molecular Biology 39.9k
  • Genetics 7.5k
  • Plant Science 5.6k
  • Cancer Research 5.5k
  • Immunology 2.3k
Replace Yi Zhang with:
Yi Zhang United States
Jay Shendure United States
Danny Reinberg United States
B Bernstein United States
R Myers United States
Marco A. Marra Canada
Yong Zhang China
J. Michael Cherry United States
Tarjei S. Mikkelsen United States
Wei Li China
Yi Zhang United States View profile →
Citations per field, relative to Bing Ren
Bing Ren · 1×
Citations per year, relative to Bing Ren
Bing Ren · 1×

Countries citing papers authored by Bing Ren

Since Specialization
Citations

This map shows the geographic impact of Bing Ren'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 Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Ren more than expected).

Fields of papers citing papers by Bing Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bing Ren. 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 Ren. The network helps show where Bing Ren may publish in the future.

Co-authorship network of co-authors of Bing Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Ren. A scholar is included among the top collaborators of Bing Ren based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bing Ren. Bing Ren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 15
3 5
4 4
5 6
6 49
7 104
8
Comprehensive analysis of single cell ATAC-seq data with SnapATAC breakdown →
225
9 181
10 88
11 97
12 32
13 52
14 151
15 66
16
Finding a Needle in the Haystack: Attention-Based Classification of High Resolution Microscopy Images.
4
17 37
18 56
19 170
20 28

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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