Kai Ge

16.8k total citations · 2 hit papers
144 papers, 11.1k citations indexed

About

Kai Ge is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Kai Ge has authored 144 papers receiving a total of 11.1k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Molecular Biology, 28 papers in Physiology and 20 papers in Genetics. Recurrent topics in Kai Ge's work include Epigenetics and DNA Methylation (50 papers), Cancer-related gene regulation (26 papers) and Adipose Tissue and Metabolism (24 papers). Kai Ge is often cited by papers focused on Epigenetics and DNA Methylation (50 papers), Cancer-related gene regulation (26 papers) and Adipose Tissue and Metabolism (24 papers). Kai Ge collaborates with scholars based in United States, China and South Korea. Kai Ge's co-authors include Ji‐Eun Lee, Chaochen Wang, Young‐Wook Cho, Lifeng Wang, Weiqun Peng, Qihuang Jin, Younghoon Jang, Li‐Rong Yu, Hong Yu and Robert G. Roeder and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Kai Ge

136 papers receiving 11.0k 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.

Distinct roles of GCN5/PCAF‐mediated H3K9ac and CBP/p300‐mediated H3K18/27ac in nuclear receptor transactivation

2010 619 citations Qihuang Jin, Lifeng Wang et al. profile →
Identification of JmjC domain-containing UTX and JMJD3 as histone H3 lysine 27 demethylases

2007 537 citations Young‐Wook Cho, Kai Ge et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kai Ge United States	59	7.9k	1.4k	1.4k	1.1k	1.0k	144	11.1k
Susan K. Murphy United States	60	6.6k 0.8×	648 0.5×	2.1k 1.5×	1.5k 1.3×	1.6k 1.5×	264	12.3k
Jörg Tost France	52	6.0k 0.8×	932 0.7×	1.6k 1.2×	1.6k 1.4×	874 0.8×	189	8.9k
Harry van Steeg Netherlands	49	6.3k 0.8×	2.0k 1.4×	884 0.6×	1.9k 1.7×	1.4k 1.4×	172	9.8k
Monte S. Willis United States	49	5.4k 0.7×	1.3k 0.9×	449 0.3×	976 0.9×	701 0.7×	250	9.4k
Immaculata De Vivo United States	57	3.4k 0.4×	3.5k 2.5×	1.5k 1.1×	1.1k 1.0×	1.4k 1.3×	262	10.7k
Igor P. Pogribny United States	66	8.1k 1.0×	617 0.4×	1.3k 0.9×	3.3k 2.9×	1.1k 1.0×	210	13.5k
Richard C. Strange United Kingdom	53	6.1k 0.8×	517 0.4×	991 0.7×	940 0.8×	1.5k 1.4×	222	9.9k
Beverly Paigen United States	61	4.4k 0.6×	1.7k 1.2×	3.1k 2.2×	1.0k 0.9×	1.6k 1.5×	237	12.1k
Cecilia M. Lindgren United Kingdom	49	3.9k 0.5×	1.5k 1.1×	3.1k 2.2×	946 0.8×	379 0.4×	159	8.9k
Liming Liang United States	47	3.5k 0.4×	1.7k 1.2×	2.0k 1.4×	574 0.5×	345 0.3×	269	8.2k

Countries citing papers authored by Kai Ge

Since Specialization

Citations

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

Fields of papers citing papers by Kai Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Ge. A scholar is included among the top collaborators of Kai Ge 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 Kai Ge. Kai Ge 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

Yu, Lei, Ziwei Xu, Kai Ge, et al.. (2025). Optimizing GC-IMS for Pork Volatile Fingerprinting: Effects of Incubation Conditions and Medium on Aroma Profiles. Foods. 14(23). 4164–4164.

Wang, Sainan, Hao Guo, Hu Zheng, et al.. (2025). Cadmium exposure and health outcomes:An umbrella review of meta-analyses. Environmental Research. 276. 121547–121547. 6 indexed citations

Lee, Ji‐Eun, Guojia Xie, Louis Masclef, et al.. (2025). Colorectal cancer hot spot mutations attenuate the ASXL-MLL4 interaction. Journal of Biological Chemistry. 301(3). 108333–108333.

Liu, Lin, Danxia Zhou, Zheng Zhou, et al.. (2025). Glucose‐Responsive PAGR1‐Regulated Skeletal Muscle Gene Program Controls Systemic Glucose Homeostasis and Hepatic Metabolism. Advanced Science. 12(39). e02763–e02763. 1 indexed citations

Zheng, Yueyuan, Y. Pan, Li‐Yan Xu, et al.. (2025). The MLL3/GRHL2 complex regulates malignant transformation and anti-tumor immunity in squamous cancer. The Journal of Experimental Medicine. 222(4). 1 indexed citations

Ge, Kai, et al.. (2025). Dynamics of chemical profile and microbial community in 3 consecutive years reveal Rhodococcus and Apiotrichum are potential microbes contributing to quality formation of Guang Chenpi. Food Chemistry. 473. 143003–143003.

Ge, Kai, et al.. (2023). BRD4 binds to active cranial neural crest enhancers to regulate RUNX2 activity during osteoblast differentiation. Development. 151(2). 1 indexed citations

Nakka, Kiran, Zeinab Mokhtari, Hina Bandukwala, et al.. (2022). JMJD3 activated hyaluronan synthesis drives muscle regeneration in an inflammatory environment. Science. 377(6606). 666–669. 54 indexed citations

Egolf, Shaun, Cory L. Simpson, Yann Aubert, et al.. (2021). MLL4 mediates differentiation and tumor suppression through ferroptosis. Science Advances. 7(50). eabj9141–eabj9141. 54 indexed citations

10.

Su, Xiaonan, Ji‐Eun Lee, Yutong Song, et al.. (2020). Molecular basis for histone H3 “K4me3-K9me3/2” methylation pattern readout by Spindlin1. Journal of Biological Chemistry. 295(49). 16877–16887. 18 indexed citations

11.

Liu, Lin, Tingting Fu, Zhenhua Feng, et al.. (2020). Histone methyltransferase MLL4 controls myofiber identity and muscle performance through MEF2 interaction. Journal of Clinical Investigation. 130(9). 4710–4725. 30 indexed citations

12.

Pacelli, Consiglia, Natascia Malerba, Gabriella Maria Squeo, et al.. (2020). Loss of Function of the Gene Encoding the Histone Methyltransferase KMT2D Leads to Deregulation of Mitochondrial Respiration. Cells. 9(7). 1685–1685. 15 indexed citations

13.

Shpargel, Karl B., et al.. (2020). The KMT2D Kabuki syndrome histone methylase controls neural crest cell differentiation and facial morphology. Development. 147(21). 31 indexed citations

14.

Wu, Shwu-Yuan, Ji‐Eun Lee, Hao Zuo, et al.. (2020). Opposing Functions of BRD4 Isoforms in Breast Cancer. Molecular Cell. 78(6). 1114–1132.e10. 116 indexed citations

15.

Lee, Ji‐Eun, Hannah Schmidt, Binbin Lai, & Kai Ge. (2019). Transcriptional and Epigenomic Regulation of Adipogenesis. Molecular and Cellular Biology. 39(11). 212 indexed citations

16.

Shpargel, Karl B., Joshua Starmer, Chaochen Wang, Kai Ge, & Terry Magnuson. (2017). UTX-guided neural crest function underlies craniofacial features of Kabuki syndrome. Proceedings of the National Academy of Sciences. 114(43). E9046–E9055. 65 indexed citations

17.

Wang, Chaochen, Ji‐Eun Lee, Binbin Lai, et al.. (2016). Enhancer priming by H3K4 methyltransferase MLL4 controls cell fate transition. Proceedings of the National Academy of Sciences. 113(42). 11871–11876. 166 indexed citations

18.

Park, Jun Hong, Soo Im Kang, Kai Ge, et al.. (2013). A Multifunctional Protein, EWS, Is Essential for Early Brown Fat Lineage Determination. Developmental Cell. 26(6). 675–675. 2 indexed citations

19.

Wang, Chunxi, Zhihui Liu, Zhijie Li, et al.. (2011). EZH2 Mediates Epigenetic Silencing of Neuroblastoma Suppressor Genes CASZ1 , CLU , RUNX3 , and NGFR. Cancer Research. 72(1). 315–324. 140 indexed citations

20.

Daniel, J., Margarida A. Santos, Zhibin Wang, et al.. (2010). PTIP Promotes Chromatin Changes Critical for Immunoglobulin Class Switch Recombination. Science. 329(5994). 917–923. 115 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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