Yuanming Cheng

3.4k total citations · 1 hit paper
19 papers, 2.1k citations indexed

About

Yuanming Cheng is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yuanming Cheng has authored 19 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Oncology. Recurrent topics in Yuanming Cheng's work include RNA modifications and cancer (14 papers), RNA Research and Splicing (11 papers) and Cancer-related gene regulation (5 papers). Yuanming Cheng is often cited by papers focused on RNA modifications and cancer (14 papers), RNA Research and Splicing (11 papers) and Cancer-related gene regulation (5 papers). Yuanming Cheng collaborates with scholars based in China, United States and Germany. Yuanming Cheng's co-authors include Michael G. Kharas, Ly Vu, Samie R. Jaffrey, Brian F. Pickering, Diu Nguyen, Zhiqin Xie, Wenwu Wu, Matthew MacKay, Jessica Schulman and Christopher Famulare and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Medicine.

In The Last Decade

Yuanming Cheng

19 papers receiving 2.1k 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.

The N6-methyladenosine (m6A)-forming enzyme METTL3 controls myeloid differentiation of normal hematopoietic and leukemia cells

2017 932 citations Ly Vu, Brian F. Pickering et al. Nature Medicine profile →

Peers

Yuanming Cheng

ONCOL

EEE

IMMUN

Isaia Barbieri United Kingdom

Cheuk‐Ting Law Hong Kong

Konstantinos Tzelepis United Kingdom

Xiulin Jiang China

Arthur Chow United States

Mengnuo Chen Hong Kong

Mu Xu China

Weilong Zhang China

Qing‐Mei He China

Zhaoqing Tang China

Isaia Barbieri United Kingdom

Yuanming Cheng

2.3k ×1.2

1.2k ×1.4

274 ×1.3

ONCOL

196 ×1.0

EEE

90 ×0.8

IMMUN

Citations per year, relative to Yuanming Cheng Yuanming Cheng (= 1×) peers Isaia Barbieri

Countries citing papers authored by Yuanming Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Yuanming Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanming Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanming Cheng. A scholar is included among the top collaborators of Yuanming Cheng 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 Yuanming Cheng. Yuanming Cheng 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:

19 of 19 papers shown

Gao, Dexin, Yurong Du, Yuanming Cheng, & Qing Yang. (2024). Research on dynamic multi-level warning method for thermal runaway charging of electric vehicles. Engineering Applications of Artificial Intelligence. 132. 107919–107919. 7 indexed citations

Cheng, Yuanming, Wei Xie, Brian F. Pickering, et al.. (2021). N6-Methyladenosine on mRNA facilitates a phase-separated nuclear body that suppresses myeloid leukemic differentiation. Cancer Cell. 39(7). 958–972.e8. 177 indexed citations

Jeong, Sangmoo, Angela Maria Savino, Rachel Chirayil, et al.. (2020). High Fructose Drives the Serine Synthesis Pathway in Acute Myeloid Leukemic Cells. Cell Metabolism. 33(1). 145–159.e6. 51 indexed citations

Li, Jiawei & Yuanming Cheng. (2020). Design and implementation of voice-controled intelligent fan system based on machine learning. 36. 548–552. 3 indexed citations

Cheng, Yuanming, Hanzhi Luo, Franco Izzo, et al.. (2019). m6A RNA Methylation Maintains Hematopoietic Stem Cell Identity and Symmetric Commitment. Cell Reports. 28(7). 1703–1716.e6. 126 indexed citations

Su, Wenjing, Hyun Ho Han, Yan Wang, et al.. (2019). The Polycomb Repressor Complex 1 Drives Double-Negative Prostate Cancer Metastasis by Coordinating Stemness and Immune Suppression. Cancer Cell. 36(2). 139–155.e10. 145 indexed citations

Vu, Ly, Yuanming Cheng, & Michael G. Kharas. (2018). The Biology of m6A RNA Methylation in Normal and Malignant Hematopoiesis. Cancer Discovery. 9(1). 25–33. 124 indexed citations

Luo, Chunling, Yuanming Cheng, Yuguo Liu, et al.. (2017). SRSF2 Regulates Alternative Splicing to Drive Hepatocellular Carcinoma Development. Cancer Research. 77(5). 1168–1178. 112 indexed citations

Vu, Ly, Brian F. Pickering, Yuanming Cheng, et al.. (2017). The N6-methyladenosine (m6A)-forming enzyme METTL3 controls myeloid differentiation of normal hematopoietic and leukemia cells. Nature Medicine. 23(11). 1369–1376. 932 indexed citations breakdown →

10.

Wu, Wenwu, Jie Zong, Ning Wei, et al.. (2017). CASH: a constructing comprehensive splice site method for detecting alternative splicing events. Briefings in Bioinformatics. 19(5). 905–917. 48 indexed citations

11.

Vu, Ly, Brian F. Pickering, Yuanming Cheng, et al.. (2017). m6a Regulates Differentiation State and mRNA Translation in Myeloid Leukemia. Blood. 130(Suppl_1). 791–791. 2 indexed citations

12.

Cheng, Yuanming, Chunling Luo, Wenwu Wu, et al.. (2016). Liver-Specific Deletion of SRSF2 Caused Acute Liver Failure and Early Death in Mice. Molecular and Cellular Biology. 36(11). 1628–1638. 35 indexed citations

13.

Wei, Ning, Yuanming Cheng, Zhijia Wang, et al.. (2015). SRSF10 Plays a Role in Myoblast Differentiation and Glucose Production via Regulation of Alternative Splicing. Cell Reports. 13(8). 1647–1657. 38 indexed citations

14.

Zhou, Xuexia, Wenwu Wu, Ning Wei, et al.. (2014). Genome-wide analysis of SRSF10-regulated alternative splicing by deep sequencing of chicken transcriptome. Genomics Data. 2. 20–23. 3 indexed citations

15.

Zhou, Xuexia, Wenwu Wu, Li Huang, et al.. (2014). Transcriptome analysis of alternative splicing events regulated by SRSF10 reveals position-dependent splicing modulation. Nucleic Acids Research. 42(6). 4019–4030. 79 indexed citations

16.

Li, Huang, Yuanming Cheng, Wenwu Wu, et al.. (2014). SRSF10 Regulates Alternative Splicing and Is Required for Adipocyte Differentiation. Molecular and Cellular Biology. 34(12). 2198–2207. 48 indexed citations

17.

Zhou, Xuexia, Xuebing Li, Yuanming Cheng, et al.. (2014). BCLAF1 and its splicing regulator SRSF10 regulate the tumorigenic potential of colon cancer cells. Nature Communications. 5(1). 137 indexed citations

18.

Wang, Zhijia, Xuexia Zhou, Yuanming Cheng, et al.. (2013). Far upstream element-binding protein 1 and RNA secondary structure both mediate second-step splicing repression. Proceedings of the National Academy of Sciences. 110(29). E2687–95. 38 indexed citations

19.

Ding, P. F., et al.. (1992). Application of universal kriging to geochemical prospecting data. Mathematical Geology. 24(6). 609–629. 1 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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