Gang Ren

3.1k citations
44 papers · 2.1k indexed · 1 hit paper · h-index 20
Topics
Genomics and Chromatin Dynamics (11 papers)RNA Research and Splicing (9 papers)Genetic and phenotypic traits in livestock (6 papers)

In The Last Decade

Gang Ren

43 papers receiving 2.0k citations

Hit Papers

Control of Cell Identity Genes Occurs in Insulated Neighb...20142026201820222014200400600

Peers

Gang Ren
Comparison fields: 5 of 98
  • Molecular Biology 1.6k
  • Plant Science 301
  • Genetics 267
  • Immunology 246
  • Cancer Research 220
Replace Eva K. Brinkman with:
Eva K. Brinkman Netherlands
Karen Brown United Kingdom
Cameron S. Osborne United Kingdom
Robert‐Jan Palstra Netherlands
Gabrielle Mengus France
Matthias Muhar Austria
Angela Taddei France
Sumio Sugano Japan
Kerstin S. Wendt Netherlands
Steven Wingett United Kingdom
Gang Ren relative to Eva K. Brinkman Netherlands Eva K. Brinkman's profile →
Citations per field
00.5×3.3×
Eva K. Brinkman · 1×
Citations per year

Countries citing papers authored by Gang Ren

Since Specialization
Citations

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

Fields of papers citing papers by Gang Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Ren. A scholar is included among the top collaborators of Gang 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 Gang Ren. Gang 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
#WorkIndexed citations
1 0
2 1
3 8
4 15
5 14
6 22
7 22
8 2
9 82
10 13
11 157
12 178
13 34
14 252
15
Control of Cell Identity Genes Occurs in Insulated Neighborhoods in Mammalian Chromosomesbreakdown →
639
16
Five novel SNPs of the bovine LHX4 gene and their association with growth traits in native Chinese cattle breeds.
2
17
A novel missense mutation of bovine lipase maturation factor 1 (LMF1) gene and its association with growth traits
2
18 23
19 104
20 10

About Gang Ren

Gang Ren is a scholar working on Equine, Genetics and Molecular Biology, having authored 44 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (11 papers), RNA Research and Splicing (9 papers) and Genetic and phenotypic traits in livestock (6 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Cancer Research (220 citations) and Immunology (246 citations). Gang Ren has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Keji Zhao, Kairong Cui, Jurian Schuijers, Richard A. Young, Denes Hnisz, Tong Ihn Lee, Brian J. Abraham, Jill M. Dowen, Zi Peng Fan and Abraham S. Weintraub. Their work appears in journals such as Nature, Cell and Nucleic Acids Research.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026