Lu Li

4.2k citations
135 papers · 3.0k · h-index 30

Impact in

Papers in

    • Epigenetics and DNA Methylation 14
    • RNA modifications and cancer 12
    • Pluripotent Stem Cells Research 7
    • MicroRNA in disease regulation 22
    • Cancer-related molecular mechanisms research 11
    • Cancer, Hypoxia, and Metabolism 9

Lu Li

132 papers receiving 3.0k citations

Peers

Lu Li
Comparison fields: 5 of 139
  • Developmental Neuroscience 239
  • Cancer Research 662
  • Neurology 240
  • Molecular Biology 1.3k
  • Genetics 176
Replace Dong Han with:
Dong Han China
Hung‐Hai Ku Taiwan
Claudio Procaccini Italy
Isabel Varela‐Nieto Spain
Kiyofumi Asai Japan
Zhiren Zhang China
Farshid Noorbakhsh Iran
Charbel Massaad France
Sourav Ghosh United States
Yoshihiro Morikawa Japan
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Citations per field
00.5×1.5×1.8×
Dong Han · 1×
Citations per year

Countries citing papers authored by Lu Li

Since Specialization
Citations

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

Fields of papers citing papers by Lu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008169
2 2016157
3 2013122
4 2005116
5 200792
6 201482
7 201280
8 200879
9 201079
10 200576
11 202070
12 202067
13 201465
14 201663
15 202158
16 201958
17 201455
18 201155
19 201351
20 201548

About Lu Li

Lu Li is a scholar working on Molecular Biology, Cancer Research, Genetics, Surgery and Oncology, having authored 135 papers that have together received 3.0k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (22 papers), Epigenetics and DNA Methylation (14 papers), RNA modifications and cancer (12 papers), Cancer-related molecular mechanisms research (11 papers), Cancer, Hypoxia, and Metabolism (9 papers), Mesenchymal stem cell research (8 papers), Pluripotent Stem Cells Research (7 papers) and Neurogenesis and neuroplasticity mechanisms (6 papers). The work is most often cited by research in Developmental Neuroscience (239 citations), Cancer Research (662 citations), Neurology (240 citations), Molecular Biology (1.3k citations) and Genetics (176 citations). Lu Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lee Anna Cunningham, Wai‐Yee Chan, Vassilios Papadopoulos, Dandan Cao, Erzsebet Kokovay, Bifeng Chen, Xinyu Zhao, Kate M. Candelario, Basam Z. Barkho and Xuekun Li. Their work appears in journals such as International Journal of Molecular Sciences, Ecotoxicology and Environmental Safety, Heliyon, European Journal of Pharmacology and Journal of Agricultural and Food Chemistry.

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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