Lü Cheng

3.1k citations
62 papers · 2.0k · h-index 21

Impact in

    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • Advanced biosensing and bioanalysis techniques
    • Epigenetics and DNA Methylation

Papers in

    • RNA modifications and cancer 5
    • Epigenetics and DNA Methylation 5
    • RNA Research and Splicing 4
    • DNA Repair Mechanisms 4
    • Genomics and Chromatin Dynamics 4
    • Pluripotent Stem Cells Research 4

Lü Cheng

58 papers receiving 2.0k citations

Peers

Lü Cheng
Comparison fields: 5 of 126
  • Molecular Biology 1.5k
  • Cancer Research 229
  • Genetics 311
  • Aging 13
  • Immunology 131
Replace Tanja Waldmann with:
Tanja Waldmann Germany
Jérôme Gilleron France
Jingyun Li China
Yi Xie China
Kieran Wynne Ireland
Sakari Kellokumpu Finland
Joseph G. Hacia United States
Julius Müller United Kingdom
Ray Kit Ng Hong Kong
Hamid Gourabi Iran
Lü Cheng relative to Tanja Waldmann Germany Tanja Waldmann's profile →
Citations per field
00.5×
Tanja Waldmann · 1×
Citations per year

Countries citing papers authored by Lü Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Lü Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lü Cheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lü Cheng Line = papers co-authored together Lü Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010323
2 2009291
3 2021158
4 200990
5 201787
6 200882
7 201680
8 202169
9 201669
10 202050
11 201450
12 201048
13 200643
14 201043
15 201541
16 201138
17 201836
18 202029
19 201027
20 201127

About Lü Cheng

Lü Cheng is a scholar working on Molecular Biology, Genetics, Immunology, Cancer Research and Surgery, having authored 62 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Epigenetics and DNA Methylation (5 papers), RNA Research and Splicing (4 papers), DNA Repair Mechanisms (4 papers), Genomics and Chromatin Dynamics (4 papers), Cancer-related molecular mechanisms research (4 papers), Pluripotent Stem Cells Research (4 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Cancer Research (229 citations), Genetics (311 citations), Aging (13 citations) and Immunology (131 citations). Lü Cheng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zuhong Lu, Bo Wen, Jing Liao, Zhao Wu, Lei Xiao, Lingxin Chen, Guoqing Wang, Luyang Wang, Jaebum Choo and Xiaokun Wang. Their work appears in journals such as Acta Biochimica et Biophysica Sinica, Scientific Reports, Genome Research, Acta Pharmaceutica Sinica B and Cell Research.

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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