Bei Yao

517 citations
22 papers · 396 · h-index 10

Impact in

Papers in

    • Inflammatory Biomarkers in Disease Prognosis 1
    • Lung Cancer Research Studies 1
    • Antibiotic Resistance in Bacteria 2

Bei Yao

17 papers receiving 396 citations

Peers

Bei Yao
Comparison fields: 5 of 86
  • Molecular Medicine 131
  • Endocrinology 48
  • Clinical Biochemistry 33
  • Applied Microbiology and Biotechnology 6
  • Cancer Research 33
Replace Marcin Żórawski with:
Marcin Żórawski Poland
Su Xu China
Takumi Jikimoto Japan
Ayman Ali Mohammed Alameen Saudi Arabia
Tala Pourlak Iran
Lucia Mališová Czechia
Adriano Anesi Italy
Mi-Ran Seo South Korea
Tsung-Yun Hou Taiwan
Xiaoxi Lu China
Bei Yao relative to Marcin Żórawski Poland Marcin Żórawski's profile →
Citations per field
00.5×2×3×
Marcin Żórawski · 1×
Citations per year

Countries citing papers authored by Bei Yao

Since Specialization
Citations

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

Fields of papers citing papers by Bei Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015134
2 201669
3 201453
4 201727
5 201827
6 201221
7 201913
8 200912
9 202411
10 202010
11 20215
12 20204
13 20174
14 20252
15 20232
16
Infection of Chlamydia trachomatis, Neisseria gonorrhoeae and Ureaplasma urealyticum in patients in Beijing
20201
17
[Distribution characteristics and antimicrobial resistance of pathogens about hospital infection from patients in single hematology center during 2011 and 2013].
20151
18 20250
19 20250
20 20250

About Bei Yao

Bei Yao is a scholar working on Oncology, Molecular Medicine, Cancer Research, Pulmonary and Respiratory Medicine and Immunology, having authored 22 papers that have together received 396 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper), Acupuncture Treatment Research Studies (1 paper), Cholesterol and Lipid Metabolism (1 paper), Urinary Bladder and Prostate Research (1 paper), Lung Cancer Research Studies (1 paper), Estrogen and related hormone effects (1 paper) and Radiation Dose and Imaging (1 paper). The work is most often cited by research in Molecular Medicine (131 citations), Endocrinology (48 citations), Clinical Biochemistry (33 citations), Applied Microbiology and Biotechnology (6 citations) and Cancer Research (33 citations). Bei Yao has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Jie Zhang, Lei Zhou, Fei Wang, Xiaowei Zhang, Zhicheng Yang, Qipeng Wu, Lei Ma, Shuo Yang, Rui Qiao and Hongya Wang. Their work appears in journals such as European Journal of Clinical Nutrition, Free Radical Biology and Medicine, Frontiers in Genetics, Journal of Cancer and Supportive Care in Cancer.

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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