Bei Yao

478 citations
20 papers · 364 · h-index 9

Impact in

Papers in

Bei Yao

15 papers receiving 363 citations

Peers

Bei Yao
Comparison fields: 5 of 90
  • Molecular Medicine 134
  • Endocrinology 59
  • Clinical Biochemistry 41
  • Applied Microbiology and Biotechnology 9
  • Cancer Research 34
Replace Marcin Żórawski with:
Marcin Żórawski Poland
Dongguo Wang China
Andrew Chou United States
Su Xu China
Şule Karaman Türkiye
Muhammad Yasir United Kingdom
Esther Escudero Spain
Zahra Ghafouri Iran
Mi-Ran Seo South Korea
Bei Yao relative to Marcin Żórawski Poland Marcin Żórawski's profile →
Citations per field
00.5×2.8×
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
#Work
1 2015130
2 201667
3 201447
4 201726
5 201824
6 201219
7 201912
8 200911
9 20209
10 20246
11 20174
12 20204
13 20213
14
Infection of Chlamydia trachomatis, Neisseria gonorrhoeae and Ureaplasma urealyticum in patients in Beijing
20201
15 20231
16 20250
17 20250
18
[Distribution characteristics and antimicrobial resistance of pathogens about hospital infection from patients in single hematology center during 2011 and 2013].
20150
19
Correlation among the prevalence of benign diseases of thyroid, breast and uterine fibroids
20190
20 20250

About Bei Yao

Bei Yao is a scholar working on Molecular Biology, Oncology, Epidemiology, Physiology and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 364 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (3 papers), Clinical Laboratory Practices and Quality Control (2 papers), Enterobacteriaceae and Cronobacter Research (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Ga2O3 and related materials (1 paper), Bacterial biofilms and quorum sensing (1 paper), Nutritional Studies and Diet (1 paper) and Glutathione Transferases and Polymorphisms (1 paper). The work is most often cited by research in Molecular Medicine (134 citations), Endocrinology (59 citations), Clinical Biochemistry (41 citations), Applied Microbiology and Biotechnology (9 citations) and Cancer Research (34 citations). Bei Yao has collaborated with scholars based in China and United States. Frequent co-authors include Jie Zhang, Xiaowei Zhang, Fei Wang, Lei Zhou, Zhicheng Yang, Lei Ma, Qipeng Wu, Shuo Yang, Hongya Wang and Rui Qiao. Their work appears in journals such as Nature and Science of Sleep, Medical Physics, Clinical Chemistry and Laboratory Medicine (CCLM), Annals of Palliative Medicine and European Journal of Clinical Nutrition.

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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