Lu Yang

3.7k citations
57 papers · 2.9k · h-index 31

Impact in

Papers in

    • Receptor Mechanisms and Signaling 7
    • Circular RNAs in diseases 7
    • RNA modifications and cancer 7
    • RNA Interference and Gene Delivery 5
    • PI3K/AKT/mTOR signaling in cancer 4
    • MicroRNA in disease regulation 15
    • Cancer-related molecular mechanisms research 7

Lu Yang

57 papers receiving 2.9k citations

Peers

Lu Yang
Comparison fields: 5 of 109
  • Cancer Research 779
  • Cellular and Molecular Neuroscience 603
  • Developmental Neuroscience 117
  • Molecular Biology 1.7k
  • Genetics 204
Replace Zixu Mao with:
Zixu Mao United States
Sheelagh Frame United Kingdom
Chia‐Yi Kuan United States
Chun Cheng China
Hongwei Yu United States
Amantha Thathiah United States
Ryoji Yao Japan
Steven L. Carroll United States
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Omolara O. Ogunshola Switzerland
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Citations per field
00.5×3.0×
Zixu Mao · 1×
Citations per year

Countries citing papers authored by Lu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010286
2 2018199
3 2008198
4 2005194
5 2007124
6 2004112
7 2005111
8 2004101
9 201397
10 201480
11 200580
12 201079
13 201275
14 200675
15 200567
16 200762
17 201561
18 201759
19 201358
20 201354

About Lu Yang

Lu Yang is a scholar working on Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience, Oncology and Immunology, having authored 57 papers that have together received 2.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (15 papers), Neuroscience and Neuropharmacology Research (11 papers), Receptor Mechanisms and Signaling (7 papers), Circular RNAs in diseases (7 papers), RNA modifications and cancer (7 papers), Cancer-related molecular mechanisms research (7 papers), RNA Interference and Gene Delivery (5 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). The work is most often cited by research in Cancer Research (779 citations), Cellular and Molecular Neuroscience (603 citations), Developmental Neuroscience (117 citations), Molecular Biology (1.7k citations) and Genetics (204 citations). Lu Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include John Q. Wang, Limin Mao, Anish Arora, Guochi Zhang, Phoebe A. Phillips, Qingsong Tang, Zhenguo Liu, Eugene E. Fibuch, Geng Yang and Xiaobo Zhang. Their work appears in journals such as Journal of Neuroscience, Scientific Reports, Journal of Biological Chemistry, Oncology Reports and Anesthesiology.

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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