Yiran Guo

2.3k total citations · 1 hit paper
17 papers, 463 citations indexed

About

Yiran Guo is a scholar working on Molecular Biology, Hematology and Catalysis. According to data from OpenAlex, Yiran Guo has authored 17 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 3 papers in Hematology and 2 papers in Catalysis. Recurrent topics in Yiran Guo's work include Epigenetics and DNA Methylation (10 papers), Genomics and Chromatin Dynamics (9 papers) and RNA modifications and cancer (5 papers). Yiran Guo is often cited by papers focused on Epigenetics and DNA Methylation (10 papers), Genomics and Chromatin Dynamics (9 papers) and RNA modifications and cancer (5 papers). Yiran Guo collaborates with scholars based in United States, China and Taiwan. Yiran Guo's co-authors include Gang Greg Wang, Shuai Zhao, Jiuwei Lu, Jikui Song, Zhimin Zhang, Yinsheng Wang, Ling Cai, Jiekai Yin, Weida Gong and Yi‐Hsuan Tsai and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Yiran Guo

16 papers receiving 462 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.

Electronic metal-support interaction modulates Cu electronic structures for CO2 electroreduction to desired products

2025 44 citations Xinyi Yang, Yiran Guo et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yiran Guo United States	9	379	41	39	38	33	17	463
Xue Qing David Wang Canada	10	342 0.9×	46 1.1×	48 1.2×	139 3.7×	21 0.6×	18	425
Sung-Hun Lee United States	5	383 1.0×	53 1.3×	36 0.9×	69 1.8×	4 0.1×	6	439
Subhra Chakrabarti United States	8	347 0.9×	45 1.1×	8 0.2×	31 0.8×	14 0.4×	9	416
Magdalena Murawska Germany	14	436 1.2×	46 1.1×	82 2.1×	17 0.4×	12 0.4×	21	579
Evert-Jan Uringa Netherlands	6	287 0.8×	57 1.4×	35 0.9×	38 1.0×	29 0.9×	8	379
Zhenhua Qi China	13	330 0.9×	12 0.3×	57 1.5×	230 6.1×	13 0.4×	34	541
Subhash Pokharel United States	8	579 1.5×	43 1.0×	44 1.1×	86 2.3×	23 0.7×	9	587
Joseph L. Stodola United States	10	702 1.9×	74 1.8×	68 1.7×	108 2.8×	118 3.6×	12	810
Cathy Braun France	9	386 1.0×	47 1.1×	12 0.3×	58 1.5×	5 0.2×	11	429
Heather Witt United States	9	445 1.2×	87 2.1×	27 0.7×	50 1.3×		12	582

Countries citing papers authored by Yiran Guo

Since Specialization

Citations

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

Fields of papers citing papers by Yiran Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiran Guo

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

All Works

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17 of 17 papers shown

Ahn, Jeong Hyun, Yiran Guo, Heankel Lyons, et al.. (2025). The phenylalanine-and-glycine repeats of NUP98 oncofusions form condensates that selectively partition transcriptional coactivators. Molecular Cell. 85(4). 708–725.e9. 8 indexed citations

Song, Yangfan, Yong Zhang, Xinyi Yang, et al.. (2025). Tuning intermediates' adsorption for efficient electrosynthesis of urea from carbon dioxide and nitrate via doping Au into Cu. Journal of Materials Chemistry A. 13(22). 16596–16605. 4 indexed citations

Li, Dongxu, Zhimin Zhang, Mei Liu, et al.. (2025). BAHCC1 binds H4K20me1 to facilitate the MCM complex loading and DNA replication. Nature Communications. 16(1). 5502–5502.

Yang, Xinyi, Yiran Guo, Xinghua Zhang, et al.. (2025). Electronic metal-support interaction modulates Cu electronic structures for CO2 electroreduction to desired products. Nature Communications. 16(1). 1956–1956. 44 indexed citations breakdown →

Zhang, Yong, Feifei Chen, Xinyi Yang, et al.. (2025). Tandem Electrocatalysis With Cu‐Based Alloy Catalysts for Efficient Multi‐Carbon Formation in Strongly Acidic Conditions. Small. 21(40). e06942–e06942. 1 indexed citations

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

Lu, Jiuwei, Yiran Guo, Jiekai Yin, et al.. (2024). Structure-guided functional suppression of AML-associated DNMT3A hotspot mutations. Nature Communications. 15(1). 3111–3111. 11 indexed citations

Chen, Xinyi, Yiran Guo, Ting Zhao, et al.. (2024). Structural basis for the H2AK119ub1-specific DNMT3A-nucleosome interaction. Nature Communications. 15(1). 6217–6217. 8 indexed citations

Guo, Yiran, et al.. (2023). Polycomb Repressive Complex 2 in Oncology. Cancer treatment and research. 190. 273–320. 2 indexed citations

10.

Guo, Yiran & Gang Greg Wang. (2022). Modulation of the high-order chromatin structure by Polycomb complexes. Frontiers in Cell and Developmental Biology. 10. 1021658–1021658. 8 indexed citations

11.

Gao, Linfeng, Yiran Guo, Jiuwei Lu, et al.. (2022). Structure of DNMT3B homo-oligomer reveals vulnerability to impairment by ICF mutations. Nature Communications. 13(1). 4249–4249. 14 indexed citations

12.

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

13.

Guo, Yiran, Shuai Zhao, & Gang Greg Wang. (2021). Polycomb Gene Silencing Mechanisms: PRC2 Chromatin Targeting, H3K27me3 'Readout', and Phase Separation-Based Compaction. Trends in Genetics. 37(6). 547–565. 103 indexed citations

14.

Li, Jie, Phillip M. Galbo, Weida Gong, et al.. (2021). ZMYND11-MBTD1 induces leukemogenesis through hijacking NuA4/TIP60 acetyltransferase complex and a PWWP-mediated chromatin association mechanism. Nature Communications. 12(1). 1045–1045. 28 indexed citations

15.

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

16.

Zhang, Yi, Yiran Guo, Sheryl M. Gough, et al.. (2020). Mechanistic insights into chromatin targeting by leukemic NUP98-PHF23 fusion. Nature Communications. 11(1). 3339–3339. 19 indexed citations

17.

Fan, Huitao, Jiuwei Lu, Yiran Guo, et al.. (2020). BAHCC1 binds H3K27me3 via a conserved BAH module to mediate gene silencing and oncogenesis. Nature Genetics. 52(12). 1384–1396. 67 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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