Li Luo

2.9k citations
69 papers · 1.3k · h-index 22

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Genetics top 5%
    • Genetic Associations and Epidemiology
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic and phenotypic traits in livestock

Papers in

    • RNA Research and Splicing 4
    • Circular RNAs in diseases 4
    • Cutaneous Melanoma Detection and Management 6

Li Luo

62 papers receiving 1.3k citations

Peers

Li Luo
Comparison fields: 5 of 138
  • Cancer Research 229
  • Genetics 411
  • Molecular Biology 550
  • Reproductive Medicine 54
  • Health, Toxicology and Mutagenesis 83
Replace Su Jeong Song with:
Su Jeong Song South Korea
Vahid Haghpanah Iran
Chunmei Zhang China
Pengfei Liu China
Tiziano Baroni Italy
Jiani Xiao China
Masashi Naito Japan
Wenhui Liu China
Lurdes Queimado United States
Li Luo relative to Su Jeong Song South Korea Su Jeong Song's profile →
Citations per field
00.5×1.5×1.8×
Su Jeong Song · 1×
Citations per year

Countries citing papers authored by Li Luo

Since Specialization
Citations

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

Fields of papers citing papers by Li Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009191
2 201086
3 201181
4 201074
5 201766
6 201665
7 201055
8 202455
9 201944
10 201843
11 201042
12 201841
13 201541
14 201238
15 201835
16 201929
17 202029
18 201225
19 202125
20 201423

About Li Luo

Li Luo is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Health, Toxicology and Mutagenesis, having authored 69 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (9 papers), Cutaneous Melanoma Detection and Management (6 papers), Skin Protection and Aging (6 papers), Heavy Metal Exposure and Toxicity (6 papers), Cancer-related molecular mechanisms research (6 papers), RNA Research and Splicing (4 papers), Circular RNAs in diseases (4 papers) and Heavy metals in environment (4 papers). The work is most often cited by research in Cancer Research (229 citations), Genetics (411 citations), Molecular Biology (550 citations), Reproductive Medicine (54 citations) and Health, Toxicology and Mutagenesis (83 citations). Li Luo has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Momiao Xiong, Yun Zhu, Gang Peng, Hoicheong Siu, Jin Li, Hua Dong, Eric Boerwinkle, Shengjun Hong, John D. Reveille and Marianne Berwick. Their work appears in journals such as PLoS ONE, European Journal of Human Genetics, International Journal of Environmental Research and Public Health, Journal of Materials Chemistry B and Pigment Cell & Melanoma 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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