Gang Greg Wang

12.1k total citations · 4 hit papers
120 papers, 8.0k citations indexed

About

Gang Greg Wang is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Gang Greg Wang has authored 120 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Molecular Biology, 18 papers in Oncology and 17 papers in Hematology. Recurrent topics in Gang Greg Wang's work include Epigenetics and DNA Methylation (46 papers), Genomics and Chromatin Dynamics (30 papers) and Protein Degradation and Inhibitors (28 papers). Gang Greg Wang is often cited by papers focused on Epigenetics and DNA Methylation (46 papers), Genomics and Chromatin Dynamics (30 papers) and Protein Degradation and Inhibitors (28 papers). Gang Greg Wang collaborates with scholars based in United States, China and Taiwan. Gang Greg Wang's co-authors include C. David Allis, Ping Chi, Mark P. Kamps, Martina P. Pasillas, Ling Cai, Rui Lu, Shuai Zhao, Jikui Song, Hans Häcker and David F. Allison and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Gang Greg Wang

116 papers receiving 7.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Covalent histone modifications — miswritten, misinterpreted and mis-erased in human cancers

2010 842 citations C. David Allis, Gang Greg Wang et al. Nature reviews. Cancer profile →
Specificity in Toll-like receptor signalling through distinct effector functions of TRAF3 and TRAF6

2005 773 citations Gang Greg Wang et al. profile →
Phase separation drives aberrant chromatin looping and cancer development

2021 294 citations Jeong Hyun Ahn, Shuai Zhao et al. profile →
The language of chromatin modification in human cancers

2021 249 citations Shuai Zhao, C. David Allis et al. Nature reviews. Cancer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gang Greg Wang United States	43	6.5k	1.1k	997	857	839	120	8.0k
Bo Porse Denmark	46	5.8k 0.9×	1.2k 1.1×	1.1k 1.1×	1.3k 1.5×	754 0.9×	112	7.8k
Qiang Zhou United States	48	8.3k 1.3×	1.3k 1.2×	640 0.6×	458 0.5×	1.0k 1.2×	113	10.0k
Katherine L. B. Borden Canada	53	6.6k 1.0×	1.2k 1.1×	750 0.8×	645 0.8×	930 1.1×	118	8.2k
Jamie I. Fletcher Australia	28	5.1k 0.8×	1.0k 0.9×	912 0.9×	604 0.7×	2.0k 2.4×	63	7.1k
Richard Klemke United States	44	5.9k 0.9×	892 0.8×	1.4k 1.4×	437 0.5×	1.6k 1.9×	86	9.3k
Junwei Shi United States	35	6.2k 0.9×	513 0.5×	808 0.8×	1.5k 1.7×	1.3k 1.6×	105	7.3k
Barbara J. Graves United States	41	6.0k 0.9×	1.2k 1.1×	780 0.8×	386 0.5×	1.0k 1.2×	72	7.8k
David Levens United States	57	8.7k 1.3×	962 0.9×	1.1k 1.1×	405 0.5×	1.3k 1.6×	129	10.7k
Massimo Sargiacomo Italy	41	8.2k 1.3×	1.3k 1.2×	1.4k 1.4×	387 0.5×	498 0.6×	77	11.1k
Gregory D. Longmore United States	54	4.3k 0.7×	1.5k 1.4×	988 1.0×	826 1.0×	2.7k 3.2×	133	8.6k

Countries citing papers authored by Gang Greg Wang

Since Specialization

Citations

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

Fields of papers citing papers by Gang Greg Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Greg Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Greg Wang. A scholar is included among the top collaborators of Gang Greg Wang 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 Greg Wang. Gang Greg Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Jie, Jiekai Yin, Yinsheng Wang, et al.. (2025). The sotos syndrome gene Nsd1 safeguards developmental gene enhancers poised for transcription by maintaining the precise deposition of histone methylation. Journal of Biological Chemistry. 301(5). 108423–108423. 1 indexed citations

Yu, Xufen, Bo Pan, Ho Man Chan, et al.. (2025). Pharmacologic degradation of WDR5 suppresses oncogenic activities of SS18::SSX and provides a therapeutic of synovial sarcoma. Science Advances. 11(17). eads7876–eads7876. 2 indexed citations

Wang, Haichao, et al.. (2024). Impingement of binary nanodroplets on rough surfaces: a molecular dynamics study. Scientific Reports. 14(1). 19030–19030.

Wu, Qiong, Chunjie Yu, Fang Yu, et al.. (2024). Evi1 governs Kdm6b-mediated histone demethylation to regulate the Laptm4b-driven mTOR pathway in hematopoietic progenitor cells. Journal of Clinical Investigation. 134(24). 1 indexed citations

Wang, Qiangsheng, et al.. (2023). Recombinant human p53 adenovirus injection combined with Bortezomib inhibits proliferation and promotes apoptosis in multiple myeloma. Leukemia Research. 127. 107041–107041. 3 indexed citations

Hanley, Ronan P., Yan Nie, Fengling Li, et al.. (2023). Discovery of a Potent and Selective Targeted NSD2 Degrader for the Reduction of H3K36me2. Journal of the American Chemical Society. 145(14). 8176–8188. 32 indexed citations

Wang, Jun, Kwang‐Su Park, Xufen Yu, et al.. (2022). A cryptic transactivation domain of EZH2 binds AR and AR’s splice variant, promoting oncogene activation and tumorous transformation. Nucleic Acids Research. 50(19). 10929–10946. 26 indexed citations

Meng, Fanye, Chenxi Xu, Kwang‐Su Park, et al.. (2022). Discovery of a First-in-Class Degrader for Nuclear Receptor Binding SET Domain Protein 2 (NSD2) and Ikaros/Aiolos. Journal of Medicinal Chemistry. 65(15). 10611–10625. 39 indexed citations

Meng, Fanye, Kwang‐Su Park, Li Wang, et al.. (2021). Harnessing the E3 Ligase KEAP1 for Targeted Protein Degradation. Journal of the American Chemical Society. 143(37). 15073–15083. 96 indexed citations

10.

Yu, Xufen, Jithesh Kottur, Yudao Shen, et al.. (2021). A selective WDR5 degrader inhibits acute myeloid leukemia in patient-derived mouse models. Science Translational Medicine. 13(613). eabj1578–eabj1578. 91 indexed citations

11.

Fan, Huitao, Yiran Guo, Yi‐Hsuan Tsai, et al.. (2021). A conserved BAH module within mammalian BAHD1 connects H3K27me3 to Polycomb gene silencing. Nucleic Acids Research. 49(8). 4441–4455. 21 indexed citations

12.

Zhao, Shuai, C. David Allis, & Gang Greg Wang. (2021). The language of chromatin modification in human cancers. Nature reviews. Cancer. 21(7). 413–430. 249 indexed citations breakdown →

13.

Koss, Brian, Erin M. Taylor, Aaron J. Storey, et al.. (2020). Epigenetic Control of Cdkn2a.Arf Protects Tumor-Infiltrating Lymphocytes from Metabolic Exhaustion. Cancer Research. 80(21). 4707–4719. 25 indexed citations

14.

Gao, Linfeng, Max Emperle, Yiran Guo, et al.. (2020). Comprehensive structure-function characterization of DNMT3B and DNMT3A reveals distinctive de novo DNA methylation mechanisms. Nature Communications. 11(1). 3355–3355. 124 indexed citations

15.

Lu, Rui, Jun Wang, Zhihong Ren, et al.. (2019). A Model System for Studying the DNMT3A Hotspot Mutation (DNMT3AR882) Demonstrates a Causal Relationship between Its Dominant-Negative Effect and Leukemogenesis. Cancer Research. 79(14). 3583–3594. 22 indexed citations

16.

Wang, Gang Greg, et al.. (2018). A velocity map imaging mass spectrometer for photofragments of fast ion beams. Review of Scientific Instruments. 89(1). 14102–14102. 23 indexed citations

17.

Li, Zejuan, Ping Chen, Rui Su, et al.. (2016). PBX3 and MEIS1 Cooperate in Hematopoietic Cells to Drive Acute Myeloid Leukemias Characterized by a Core Transcriptome of the MLL -Rearranged Disease. Cancer Research. 76(3). 619–629. 48 indexed citations

18.

Gough, Sheryl M., Fan Lee, Fan Yang, et al.. (2014). NUP98–PHF23 Is a Chromatin-Modifying Oncoprotein That Causes a Wide Array of Leukemias Sensitive to Inhibition of PHD Histone Reader Function. Cancer Discovery. 4(5). 564–577. 59 indexed citations

19.

Olejniczak, Edward T., Charles Van Sant, Mark G. Anderson, et al.. (2007). Integrative Genomic Analysis of Small-Cell Lung Carcinoma Reveals Correlates of Sensitivity to Bcl-2 Antagonists and Uncovers Novel Chromosomal Gains. Molecular Cancer Research. 5(4). 331–339. 53 indexed citations

20.

Rajesh, Mathur, Gang Greg Wang, Roger A. Jones, & Natalia Tretyakova. (2005). Stable Isotope Labeling−Mass Spectrometry Analysis of Methyl- and Pyridyloxobutyl-Guanine Adducts of 4-(Methylnitrosamino)-1-(3-pyridyl)-1-butanone inp53-Derived DNA Sequences. Biochemistry. 44(6). 2197–2207. 27 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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