Eva J. Ge

3.3k total citations · 1 hit paper
15 papers, 1.4k citations indexed

About

Eva J. Ge is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Eva J. Ge has authored 15 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Physiology. Recurrent topics in Eva J. Ge's work include Epigenetics and DNA Methylation (9 papers), RNA modifications and cancer (5 papers) and Cancer-related gene regulation (4 papers). Eva J. Ge is often cited by papers focused on Epigenetics and DNA Methylation (9 papers), RNA modifications and cancer (5 papers) and Cancer-related gene regulation (4 papers). Eva J. Ge collaborates with scholars based in United States, Czechia and Germany. Eva J. Ge's co-authors include Tom W. Muir, Jintang Du, Hening Lin, Carlos Sebastián, Saba Khan, Yi Wang, Raúl Mostoslavsky, Guillaume Charron, Bin He and Howard C. Hang and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Eva J. Ge

14 papers receiving 1.4k 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.

SIRT6 regulates TNF-α secretion through hydrolysis of long-chain fatty acyl lysine

2013 552 citations Hong Jiang, Saba Khan et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eva J. Ge United States	13	858	393	248	219	151	15	1.4k
Jing Niu China	18	641 0.7×	119 0.3×	153 0.6×	82 0.4×	190 1.3×	44	970
Joanne Mathers United Kingdom	9	819 1.0×	220 0.6×	37 0.1×	182 0.8×	89 0.6×	10	1.2k
Yeyun Zhou United States	8	678 0.8×	833 2.1×	32 0.1×	483 2.2×	323 2.1×	10	1.4k
Ji-Min Woo South Korea	7	648 0.8×	747 1.9×	21 0.1×	427 1.9×	298 2.0×	13	1.3k
Rika Kusumoto Japan	14	2.3k 2.7×	751 1.9×	231 0.9×	401 1.8×	424 2.8×	17	3.0k
Melissa McMahill United States	3	711 0.8×	59 0.2×	64 0.3×	648 3.0×	49 0.3×	3	1.1k
Andrey Kropotov Russia	17	697 0.8×	53 0.1×	56 0.2×	75 0.3×	55 0.4×	41	940
Saba Khan United States	2	542 0.6×	729 1.9×	18 0.1×	413 1.9×	295 2.0×	2	1.1k
Felicitas Lerner Germany	7	332 0.4×	141 0.4×	115 0.5×	44 0.2×	39 0.3×	9	716
Pasquale Zizza Italy	22	847 1.0×	90 0.2×	26 0.1×	81 0.4×	132 0.9×	44	1.1k

Countries citing papers authored by Eva J. Ge

Since Specialization

Citations

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

Fields of papers citing papers by Eva J. Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva J. Ge

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

All Works

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15 of 15 papers shown

Ge, Eva J., et al.. (2023). RNA nanoparticles for targeted therapies of triple-negative breast cancers. Molecular Therapy — Nucleic Acids. 33. 885–886. 1 indexed citations

Bruemmer, Kevin J., Joel D. W. Toh, Eva J. Ge, et al.. (2023). Formaldehyde regulates S -adenosylmethionine biosynthesis and one-carbon metabolism. Science. 382(6670). eabp9201–eabp9201. 43 indexed citations

Mashtalir, Nazar, Hai T. Dao, Akshay Sankar, et al.. (2021). Chromatin landscape signals differentially dictate the activities of mSWI/SNF family complexes. Science. 373(6552). 306–315. 65 indexed citations

Leicher, Rachel, Eva J. Ge, Xingcheng Lin, et al.. (2020). Single-molecule and in silico dissection of the interaction between Polycomb repressive complex 2 and chromatin. Proceedings of the National Academy of Sciences. 117(48). 30465–30475. 34 indexed citations

Toh, Joel D. W., Steven W. M. Crossley, Kevin J. Bruemmer, et al.. (2020). Distinct RNA N- demethylation pathways catalyzed by nonheme iron ALKBH5 and FTO enzymes enable regulation of formaldehyde release rates. Proceedings of the National Academy of Sciences. 117(41). 25284–25292. 69 indexed citations

Leicher, Rachel, Eva J. Ge, Xingcheng Lin, et al.. (2020). Single-Molecule Investigation of PRC2 Non-Adjacent Nucleosome Bridging. Biophysical Journal. 118(3). 380a–380a.

Diehl, Katharine L., Eva J. Ge, Daniel N. Weinberg, et al.. (2019). PRC2 engages a bivalent H3K27M-H3K27me3 dinucleosome inhibitor. Proceedings of the National Academy of Sciences. 116(44). 22152–22157. 34 indexed citations

Ge, Eva J., Krupa S. Jani, Katharine L. Diehl, Manuel M. Müller, & Tom W. Muir. (2019). Nucleation and Propagation of Heterochromatin by the Histone Methyltransferase PRC2: Geometric Constraints and Impact of the Regulatory Subunit JARID2. Journal of the American Chemical Society. 141(38). 15029–15039. 16 indexed citations

Jani, Krupa S., Siddhant U. Jain, Eva J. Ge, et al.. (2019). Histone H3 tail binds a unique sensing pocket in EZH2 to activate the PRC2 methyltransferase. Proceedings of the National Academy of Sciences. 116(17). 8295–8300. 70 indexed citations

10.

Oslund, Rob, Xiaoyang Su, Jung‐Min Kee, et al.. (2017). Bisphosphoglycerate mutase controls serine pathway flux via 3-phosphoglycerate. Nature Chemical Biology. 13(10). 1081–1087. 53 indexed citations

11.

Wang, Xueyin, Richard D. Paucek, Anne R. Gooding, et al.. (2017). Molecular analysis of PRC2 recruitment to DNA in chromatin and its inhibition by RNA. Nature Structural & Molecular Biology. 24(12). 1028–1038. 162 indexed citations

12.

Skalák, Jan, Martin Černý, Petr Jedelský, et al.. (2016). Stimulation ofiptoverexpression as a tool to elucidate the role of cytokinins in high temperature responses ofArabidopsis thaliana. Journal of Experimental Botany. 67(9). 2861–2873. 54 indexed citations

13.

Jiang, Hong, Saba Khan, Yi Wang, et al.. (2013). SIRT6 regulates TNF-α secretion through hydrolysis of long-chain fatty acyl lysine. Nature. 496(7443). 110–113. 552 indexed citations breakdown →

14.

Macková, Hana, Marie Hronková, Jana Dobrá, et al.. (2013). Enhanced drought and heat stress tolerance of tobacco plants with ectopically enhanced cytokinin oxidase/dehydrogenase gene expression. Journal of Experimental Botany. 64(10). 2805–2815. 178 indexed citations

15.

Fang, Xinqiang, Yuan Fu, Marcus J. C. Long, et al.. (2013). Temporally Controlled Targeting of 4-Hydroxynonenal to Specific Proteins in Living Cells. Journal of the American Chemical Society. 135(39). 14496–14499. 54 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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