Lanlan Li

1.7k citations
75 papers · 1.3k · h-index 21

Impact in

Papers in

    • Epigenetics and DNA Methylation 5
    • Mitochondrial Function and Pathology 5
    • Ubiquitin and proteasome pathways 3
    • ATP Synthase and ATPases Research 3
    • RNA regulation and disease 3
    • Cancer-related molecular mechanisms research 6

Lanlan Li

69 papers receiving 1.2k citations

Peers

Lanlan Li
Comparison fields: 5 of 139
  • Cell Biology 164
  • Cancer Research 128
  • Molecular Biology 568
  • Health, Toxicology and Mutagenesis 83
  • Biochemistry 44
Replace Kiyoung Kim with:
Kiyoung Kim South Korea
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Hongyan Liu China
Tianlei Zhang China
Yusuke Sato Japan
Zhiquan Wang China
Chang Xie China
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Lanlan Li relative to Kiyoung Kim South Korea Kiyoung Kim's profile →
Citations per field
00.5×2.9×
Kiyoung Kim · 1×
Citations per year

Countries citing papers authored by Lanlan Li

Since Specialization
Citations

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

Fields of papers citing papers by Lanlan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013122
2 2015106
3 202194
4 201461
5 201946
6 201339
7 201538
8 201736
9 202135
10 201734
11 201633
12 202233
13 201832
14 202030
15 202027
16 201026
17 201725
18 202123
19 201823
20 202322

About Lanlan Li

Lanlan Li is a scholar working on Molecular Biology, Cancer Research, Genetics, Oncology and Cell Biology, having authored 75 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Epigenetics and DNA Methylation (5 papers), Mitochondrial Function and Pathology (5 papers), Ubiquitin and proteasome pathways (3 papers), ATP Synthase and ATPases Research (3 papers), Adipose Tissue and Metabolism (3 papers), EEG and Brain-Computer Interfaces (3 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Cell Biology (164 citations), Cancer Research (128 citations), Molecular Biology (568 citations), Health, Toxicology and Mutagenesis (83 citations) and Biochemistry (44 citations). Lanlan Li has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Hui Jiang, Huanxiang Liu, Xiaojun Yao, Xi Wu, Yuzhen Niu, Yan Zhang, Qianqian Wang, Jing Zheng, Fenyong Sun and Lifang Ma. Their work appears in journals such as BMC Genomics, Frontiers in Pharmacology, Microchemical Journal, Food Chemistry and Cell Metabolism.

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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