Yan Lü

4.5k citations
97 papers · 3.1k · h-index 31

Impact in

  • Equine top 2%
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • RNA modifications and cancer 20
    • RNA Research and Splicing 8
    • Epigenetics and DNA Methylation 8
    • Circular RNAs in diseases 7
    • Cancer-related molecular mechanisms research 23
    • MicroRNA in disease regulation 9

Yan Lü

92 papers receiving 3.0k citations

Peers

Yan Lü
Comparison fields: 5 of 143
  • Equine 100
  • Cancer Research 894
  • Orthopedics and Sports Medicine 235
  • Small Animals 181
  • Rheumatology 340
Replace George R. Dodge with:
George R. Dodge United States
Helen K. Graham United Kingdom
Dominik R. Haudenschild United States
Katalin Mikecz United States
Margarete K. Akens Canada
Warren Knudson United States
Åke Oldberg Sweden
Wilhelm K. Aicher Germany
Jayesh Dudhia United Kingdom
Christopher J. Handley Australia
Yan Lü relative to George R. Dodge United States George R. Dodge's profile →
Citations per field
00.5×4.2×
George R. Dodge · 1×
Citations per year

Countries citing papers authored by Yan Lü

Since Specialization
Citations

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

Fields of papers citing papers by Yan Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yan Lü, 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 Yan Lü Line = papers co-authored together Yan Lü links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007171
2 1998167
3 2018146
4 2020134
5 2019124
6 2005110
7 2019108
8 2001105
9 2021103
10 200094
11 201994
12 202190
13 201687
14 202182
15 200269
16 201368
17 202263
18 200654
19 201352
20 201851

About Yan Lü

Yan Lü is a scholar working on Molecular Biology, Cancer Research, Surgery, Biomedical Engineering and Rheumatology, having authored 97 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (23 papers), RNA modifications and cancer (20 papers), MicroRNA in disease regulation (9 papers), Osteoarthritis Treatment and Mechanisms (9 papers), RNA Research and Splicing (8 papers), Knee injuries and reconstruction techniques (8 papers), Epigenetics and DNA Methylation (8 papers) and Circular RNAs in diseases (7 papers). The work is most often cited by research in Equine (100 citations), Cancer Research (894 citations), Orthopedics and Sports Medicine (235 citations), Small Animals (181 citations) and Rheumatology (340 citations). Yan Lü has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Mark D. Markel, Pengyuan Liu, Ryland B. Edwards, Bingjian Lü, Qiongzi Qiu, Pengyuan Liu, Mengqian Yu, A. James Cooley, Xufan Li and Peter Muir. Their work appears in journals such as Arthroscopy The Journal of Arthroscopic and Related Surgery, Veterinary Surgery, Bioinformatics, Journal of Orthopaedic Research® and Molecular Cancer.

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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