Gang Ren

3.1k total citations · 1 hit paper
44 papers, 2.1k citations indexed

About

Gang Ren is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Gang Ren has authored 44 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 11 papers in Genetics and 8 papers in Immunology. Recurrent topics in Gang Ren's work include Genomics and Chromatin Dynamics (11 papers), RNA Research and Splicing (9 papers) and Genetic and phenotypic traits in livestock (6 papers). Gang Ren is often cited by papers focused on Genomics and Chromatin Dynamics (11 papers), RNA Research and Splicing (9 papers) and Genetic and phenotypic traits in livestock (6 papers). Gang Ren collaborates with scholars based in China, United States and Australia. Gang Ren's co-authors include Keji Zhao, Kairong Cui, Denes Hnisz, Richard A. Young, Jill M. Dowen, Tong Ihn Lee, Brian J. Abraham, Abraham S. Weintraub, Zi Peng Fan and Jurian Schuijers and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Gang Ren

43 papers receiving 2.0k citations

Hit Papers

Control of Cell Identity Genes Occurs in Insulated Neighb... 2014 2026 2018 2022 2014 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gang Ren China 20 1.6k 301 267 246 220 44 2.1k
Argyris Papantonis Germany 27 2.2k 1.3× 345 1.1× 299 1.1× 165 0.7× 519 2.4× 83 2.5k
Wenfei Jin China 24 1.4k 0.9× 170 0.6× 631 2.4× 315 1.3× 316 1.4× 55 2.1k
Pär G. Engström Sweden 18 1.9k 1.2× 303 1.0× 412 1.5× 132 0.5× 552 2.5× 25 2.4k
Mark Stapleton United States 15 1.7k 1.0× 223 0.7× 310 1.2× 160 0.7× 109 0.5× 20 2.0k
Hannah K. Long United Kingdom 12 2.3k 1.4× 238 0.8× 397 1.5× 118 0.5× 219 1.0× 18 2.5k
Sarah Bowman United States 15 1.4k 0.9× 257 0.9× 212 0.8× 121 0.5× 275 1.3× 18 1.7k
Peter H.L. Krijger Netherlands 23 2.6k 1.6× 702 2.3× 363 1.4× 277 1.1× 259 1.2× 35 2.9k
Eric F. Joyce United States 26 1.9k 1.2× 689 2.3× 342 1.3× 104 0.4× 90 0.4× 52 2.2k
Terri D. Bryson United States 8 1.7k 1.0× 502 1.7× 237 0.9× 179 0.7× 180 0.8× 9 2.1k
Adam Woolfe United Kingdom 11 1.8k 1.1× 443 1.5× 457 1.7× 93 0.4× 215 1.0× 12 2.0k

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
1.
Li, Ran, Mengxi Zhao, Xinyue Zhang, et al.. (2025). Fine mapping genetic variants affecting birth weight in sheep: a GWAS of 3007 individuals using low-coverage whole genome sequencing. Journal of Animal Science and Biotechnology. 16(1). 115–115. 1 indexed citations
3.
Ren, Gang, Wai Lim Ku, Guangzhe Ge, et al.. (2024). Acute depletion of BRG1 reveals its primary function as an activator of transcription. Nature Communications. 15(1). 4561–4561. 8 indexed citations
4.
Cui, Kairong, Zuojia Chen, Yaqiang Cao, et al.. (2023). Restraint of IFN-γ expression through a distal silencer CNS–28 for tissue homeostasis. Immunity. 56(5). 944–958.e6. 15 indexed citations
5.
Zhang, Meng, Bibiana Onoa, Jianfang Liu, et al.. (2022). Molecular organization of the early stages of nucleosome phase separation visualized by cryo-electron tomography. Molecular Cell. 82(16). 3000–3014.e9. 29 indexed citations
6.
Ren, Gang, Binbin Lai, Christelle Harly, et al.. (2022). Transcription factors TCF-1 and GATA3 are key factors for the epigenetic priming of early innate lymphoid progenitors toward distinct cell fates. Immunity. 55(8). 1402–1413.e4. 14 indexed citations
7.
Cao, Yaqiang, Shuai Liu, Gang Ren, Qingsong Tang, & Keji Zhao. (2021). cLoops2: a full-stack comprehensive analytical tool for chromatin interactions. Nucleic Acids Research. 50(1). 57–71. 22 indexed citations
8.
Zhen, Tao, Yaqiang Cao, Gang Ren, et al.. (2020). RUNX1 and CBFβ-SMMHC transactivate target genes together in abnormal myeloid progenitors for leukemia development. Blood. 136(21). 2373–2385. 22 indexed citations
9.
Ren, Gang, et al.. (2019). Progress of Determinate Growth Genes and Gene Editing Breeding. Redai zuowu xuebao. 40(10). 2016. 2 indexed citations
10.
Harly, Christelle, Devin Kenney, Gang Ren, et al.. (2019). The transcription factor TCF-1 enforces commitment to the innate lymphoid cell lineage. Nature Immunology. 20(9). 1150–1160. 82 indexed citations
11.
Ren, Gang & Keji Zhao. (2019). CTCF and cellular heterogeneity. Cell & Bioscience. 9(1). 83–83. 13 indexed citations
12.
Ren, Gang, Wenfei Jin, Kairong Cui, et al.. (2017). CTCF-Mediated Enhancer-Promoter Interaction Is a Critical Regulator of Cell-to-Cell Variation of Gene Expression. Molecular Cell. 67(6). 1049–1058.e6. 178 indexed citations
13.
Jin, Wenfei, Qingsong Tang, Mimi Wan, et al.. (2015). Genome-wide detection of DNase I hypersensitive sites in single cells and FFPE tissue samples. Nature. 528(7580). 142–146. 252 indexed citations
14.
Ren, Gang, et al.. (2011). Five novel SNPs of the bovine LHX4 gene and their association with growth traits in native Chinese cattle breeds.. Animal Science Papers and Reports. 29(1). 19–28. 2 indexed citations
15.
Ren, Gang, Junxia Liu, Fei Li, et al.. (2011). A novel missense mutation of bovine lipase maturation factor 1 (LMF1) gene and its association with growth traits. AFRICAN JOURNAL OF BIOTECHNOLOGY. 10(39). 7562–7566. 2 indexed citations
16.
Han, Ruili, Xianyong Lan, Gang Ren, et al.. (2010). A novel single-nucleotide polymorphism of thevisfatin gene and its associations with performance traits in the chicken. Journal of Applied Genetics. 51(1). 59–65. 23 indexed citations
17.
Li, Feng, et al.. (2009). Novel SNPs of the bovine NUCB2 gene and their association with growth traits in three native Chinese cattle breeds. Molecular Biology Reports. 37(1). 541–546. 23 indexed citations
18.
Ren, Gang, Falak Helwani, Suzie Verma, et al.. (2009). Cortactin Is a Functional Target of E-cadherin-activated Src Family Kinases in MCF7 Epithelial Monolayers. Journal of Biological Chemistry. 284(28). 18913–18922. 40 indexed citations
19.
Elzen, Nicole den, et al.. (2009). Cadherin Adhesion Receptors Orient the Mitotic Spindle during Symmetric Cell Division in Mammalian Epithelia. Molecular Biology of the Cell. 20(16). 3740–3750. 104 indexed citations
20.
Ren, Gang & Qun Zhang. (2007). MOLECULAR PHYLOGENY OF THE GENUS ODONTOBUTIS BASED UPON PARTIAL SEQUENCES OF MITOCHONDRIAL 12S rRNA GENES. Acta Hydrobiologica Sinica. 31(4). 473–478. 10 indexed citations

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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