Bei Lai

402 citations
12 papers · 226 · h-index 8

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Research and Splicing

Papers in

    • Circular RNAs in diseases 2
    • DNA Repair Mechanisms 2
    • RNA modifications and cancer 2
    • Cancer-related molecular mechanisms research 3
    • MicroRNA in disease regulation 1

Bei Lai

12 papers receiving 224 citations

Peers

Bei Lai
Comparison fields: 5 of 57
  • Cancer Research 127
  • Molecular Biology 159
  • Aging 2
  • Geriatrics and Gerontology 4
  • Rheumatology 13
Replace Aishwarya Sundaresan with:
Aishwarya Sundaresan United States
Li Sl China
Andrea Y. Angstadt United States
Weixi Deng China
Changchun Shen China
Ya-Ting Tu Taiwan
Deniz Demircioğlu United States
Ren Mo China
Guillermo E. Rivas United States
Bei Lai relative to Aishwarya Sundaresan United States Aishwarya Sundaresan's profile →
Citations per field
00.5×
Aishwarya Sundaresan · 1×
Citations per year

Countries citing papers authored by Bei Lai

Since Specialization
Citations

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

Fields of papers citing papers by Bei Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201770
2 201837
3 201726
4 201722
5 201921
6 201717
7 201311
8 201710
9 20227
10 20222
11
[Immunological characteristics of 1291 cases of severe acute respiratory syndrome in Beijing].
20042
12
[Role of anti c-mpl antibody in systemic lupus erythematosus with thrombocytopenia].
20121

About Bei Lai

Bei Lai is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Oncology and Rheumatology, having authored 12 papers that have together received 226 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), PARP inhibition in cancer therapy (2 papers), Circular RNAs in diseases (2 papers), DNA Repair Mechanisms (2 papers), RNA modifications and cancer (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), MicroRNA in disease regulation (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Cancer Research (127 citations), Molecular Biology (159 citations), Aging (2 citations), Geriatrics and Gerontology (4 citations) and Rheumatology (13 citations). Bei Lai has collaborated with scholars based in China and Sweden. Frequent co-authors include Jiaxian Liu, Hairong Liang, Hui Yang, Shaoyun Chen, Longmei Xu, Yongmei Xiao, Zhidong Liu, Li Song, Wen Chen and Yuting Chen. Their work appears in journals such as Environmental and Molecular Mutagenesis, Oncotarget, Medical Oncology, Chemico-Biological Interactions and Environmental 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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