Bei Li

1.4k citations
46 papers · 848 · 1 hit paper · h-index 15

Impact in

  • Equine top 5%
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Lipids, and Metabolism
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Circular RNAs in diseases 8
    • RNA modifications and cancer 5
    • Gut microbiota and health 5
    • Cancer-related molecular mechanisms research 12
    • MicroRNA in disease regulation 10
    • Cancer, Lipids, and Metabolism 3

Bei Li

43 papers receiving 839 citations

Bei Li's Hit Papers

Cancer-associated adipocytes: key players in breast cancer progression 2019 · 334 citations
3340+2+4Years since publication100200300

Peers

Bei Li
Comparison fields: 5 of 98
  • Equine 36
  • Cancer Research 304
  • Molecular Biology 482
  • Oncology 174
  • Agronomy and Crop Science 51
Replace C. C. Capen with:
C. C. Capen United States
Julie A. Robinson United States
K. Hirayama Japan
Sharmistha Bhattacharyya India
Risu Na China
Célia Lopes Portugal
Xiantang Li United States
Donald E. Kuhn United States
Laurentijn Tilleman Belgium
Kyle M. Schachtschneider United States
Bei Li relative to C. C. Capen United States C. C. Capen's profile →
Citations per field
00.5×10×20×30×35.8×
C. C. Capen · 1×
Citations per year

Countries citing papers authored by Bei Li

Since Specialization
Citations

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

Fields of papers citing papers by Bei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cancer-associated adipocytes: key players in breast cancer progression
Hit paper breakdown →
2019334
2 201844
3 201540
4 202029
5 201728
6 201926
7 201923
8 202123
9 201622
10 202122
11 202021
12 202020
13 201919
14 201815
15 201914
16 201814
17 201512
18 202112
19 202011
20 202010

About Bei Li

Bei Li is a scholar working on Molecular Biology, Cancer Research, Genetics, Epidemiology and Cell Biology, having authored 46 papers that have together received 848 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (12 papers), MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (8 papers), Genetic and phenotypic traits in livestock (6 papers), RNA modifications and cancer (5 papers), Gut microbiota and health (5 papers), melanin and skin pigmentation (4 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Equine (36 citations), Cancer Research (304 citations), Molecular Biology (482 citations), Oncology (174 citations) and Agronomy and Crop Science (51 citations). Bei Li has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Shengrong Sun, Juanjuan Li, Zhiyu Li, Si Sun, Qi Wu, Manglai Dugarjaviin, Yiping Zhao, Dongyi Bai, Xiaolong He and Adriano Aguzzi. Their work appears in journals such as Genes, Comparative Biochemistry and Physiology Part D Genomics and Proteomics, Scientific Reports, Journal of Cancer and Frontiers in Cell and Developmental Biology.

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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