Lanlan Li

1.1k citations
50 papers · 721 · h-index 13

Impact in

Papers in

    • RNA modifications and cancer 8
    • Circular RNAs in diseases 7
    • Retinoids in leukemia and cellular processes 6
    • Ubiquitin and proteasome pathways 5
    • RNA Research and Splicing 4
    • MicroRNA in disease regulation 8
    • Cancer-related molecular mechanisms research 8

Lanlan Li

46 papers receiving 718 citations

Peers

Lanlan Li
Comparison fields: 5 of 97
  • Aging 50
  • Biological Psychiatry 33
  • Cancer Research 155
  • Molecular Biology 455
  • Endocrine and Autonomic Systems 40
Replace Yiyuan Yuan with:
Yiyuan Yuan China
Gang Wei China
Małgorzata Alicja Śliwińska Poland
Prasanth Potluri United States
Di Ma China
Hans‐Georg Sprenger Germany
Covadonga Huidobro Spain
John Morton United States
Monika Oláhová United Kingdom
Dwight A.L. Mattocks United States
Lanlan Li relative to Yiyuan Yuan China Yiyuan Yuan's profile →
Citations per field
00.5×1.5×
Yiyuan Yuan · 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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201673
2 202172
3 202364
4 201559
5 202155
6 202048
7 202131
8 202025
9 202224
10 202023
11 201823
12 202113
13 202213
14 202212
15 202012
16 201812
17 202211
18 202210
19 20209
20 20229

About Lanlan Li

Lanlan Li is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Oncology and Epidemiology, having authored 50 papers that have together received 721 indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (8 papers), Circular RNAs in diseases (7 papers), Retinoids in leukemia and cellular processes (6 papers), Ubiquitin and proteasome pathways (5 papers), Acute Myeloid Leukemia Research (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Aging (50 citations), Biological Psychiatry (33 citations), Cancer Research (155 citations), Molecular Biology (455 citations) and Endocrine and Autonomic Systems (40 citations). Lanlan Li has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Hui Jiang, Xi Wu, Jianbo Xiu, Yan Shen, Qi Xu, Wanwan Zhu, Feihu Chen, Yubin Feng, Guiyan Zhao and Xiaoqing Peng. Their work appears in journals such as International Journal of Biological Macromolecules, Nature Communications, European Journal of Pharmacology, International Journal of Molecular Sciences and Acta Pharmacologica Sinica.

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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