Bei Qing

407 citations
27 papers · 252 · h-index 9

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Inflammatory Biomarkers in Disease Prognosis

Papers in

Bei Qing

22 papers receiving 252 citations

Peers

Bei Qing
Comparison fields: 5 of 58
  • Cancer Research 47
  • Oncology 46
  • Molecular Biology 111
  • Pulmonary and Respiratory Medicine 40
  • Immunology 24
Replace Mengxian Tu with:
Mengxian Tu China
Jun Won Park South Korea
Jugao Fang China
Yoko Koh Japan
Eva Hulstaert Belgium
M Tan Singapore
Bonnita Werner Australia
Shu-bo Tian China
Susan Patalano United States
Bei Qing relative to Mengxian Tu China Mengxian Tu's profile →
Citations per field
00.5×4.5×
Mengxian Tu · 1×
Citations per year

Countries citing papers authored by Bei Qing

Since Specialization
Citations

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

Fields of papers citing papers by Bei Qing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202449
2 201640
3 201924
4 202121
5 202221
6 202217
7 202315
8 202112
9 20228
10 20227
11 20247
12 20247
13 20226
14 20245
15 20223
16 20242
17 20242
18
Hepatic adenoma: report of three cases and review of the literature.
19952
19 20241
20 20211

About Bei Qing

Bei Qing is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 27 papers that have together received 252 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (3 papers), Extracellular vesicles in disease (3 papers), Lung Cancer Treatments and Mutations (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Cancer-related Molecular Pathways (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), MicroRNA in disease regulation (2 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Cancer Research (47 citations), Oncology (46 citations), Molecular Biology (111 citations), Pulmonary and Respiratory Medicine (40 citations) and Immunology (24 citations). Bei Qing has collaborated with scholars based in China, Australia and Germany. Frequent co-authors include Zhenkun Xia, Yunchang Yuan, Hengxing Liang, Haoyu Tan, Juan Wang, Ying Chen, Zhihong Li, Wei Wang, Ding Liu and Tao Yang. Their work appears in journals such as Frontiers in Immunology, Journal of Clinical Oncology, Human Cell, Advanced Science and International Immunopharmacology.

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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