Bei Li

4.6k total citations · 2 hit papers
113 papers, 3.3k citations indexed

About

Bei Li is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Bei Li has authored 113 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 22 papers in Genetics and 19 papers in Epidemiology. Recurrent topics in Bei Li's work include Mesenchymal stem cell research (20 papers), Periodontal Regeneration and Treatments (15 papers) and Extracellular vesicles in disease (13 papers). Bei Li is often cited by papers focused on Mesenchymal stem cell research (20 papers), Periodontal Regeneration and Treatments (15 papers) and Extracellular vesicles in disease (13 papers). Bei Li collaborates with scholars based in China, United States and Japan. Bei Li's co-authors include Yan Jin, Xiaoning He, Li Liao, Shiyu Liu, Zhiwei Dong, Cheng‐Hu Hu, Zhiwei Dong, Kun Xuan, Lin Yuan and Qiming Zhai and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Experimental Medicine and Journal of Neuroscience.

In The Last Decade

Bei Li

110 papers receiving 3.3k citations

Hit Papers

Deciduous autologous tooth stem cells regenerate dental p... 2018 2026 2020 2023 2018 2019 100 200 300

Peers

Bei Li
Comparison fields: 5 of 134
  • Molecular Biology 1.4k
  • Genetics 1.0k
  • Urology 540
  • Surgery 465
  • Cancer Research 442
Replace Ruili Yang with:
Ruili Yang China
Kazuhito Satomura Japan
Thomas Häupl Germany
Shuying Yang United States
Hidefumi Maeda Japan
José M. Moraleda Spain
Kazuto Hoshi Japan
Vincenzo Desiderio Italy
Ronald J. Midura United States
Ruili Yang China View profile →
Citations per field, relative to Bei Li
Bei Li · 1×
Citations per year, relative to Bei Li
Bei Li · 1×

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-authorship network of co-authors of Bei Li

This figure shows the co-authorship network connecting the top 25 collaborators of Bei Li. A scholar is included among the top collaborators of Bei Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bei Li. Bei Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 1
4 1
5 2
6 1
7 12
8 37
9 2
10 2
11 8
12 14
13 49
14 81
15 36
16 12
17 0
18 40
19
Survey of studies on abnormal Savda syndrome in traditional Uighur medicine
1
20
[Effects of speech training on velopharyngeal insufficiency in patients with cleft palate].
0

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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