Bei Yang

2.5k citations
68 papers · 2.1k · h-index 24

Impact in

Papers in

Bei Yang

66 papers receiving 2.0k citations

Peers

Bei Yang
Comparison fields: 5 of 134
  • Genetics 265
  • Environmental Chemistry 263
  • Health, Toxicology and Mutagenesis 333
  • Reproductive Medicine 149
  • Analytical Chemistry 119
Replace Gregory S. Travlos with:
Gregory S. Travlos United States
Cheng Peng Australia
Sunmi Kim South Korea
Qiang Zeng China
Andrew Williams Canada
Pinpin Lin Taiwan
Ying He China
Toshinari Suzuki Japan
Donald A. Sens United States
Fei Yan Zheng China
Bei Yang relative to Gregory S. Travlos United States Gregory S. Travlos's profile →
Citations per field
00.5×2×3×4.1×
Gregory S. Travlos · 1×
Citations per year

Countries citing papers authored by Bei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Bei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001459
2 2006126
3 2017117
4 2015109
5 201384
6 201967
7 200665
8 201565
9 201764
10 201864
11 201556
12 201454
13 202249
14 201847
15 201938
16 201837
17 200435
18 201731
19 201629
20 201527

About Bei Yang

Bei Yang is a scholar working on Environmental Chemistry, Health, Toxicology and Mutagenesis, Reproductive Medicine, Soil Science and Obstetrics and Gynecology, having authored 68 papers that have together received 2.1k indexed citations. Recurring topics across this work include Per- and polyfluoroalkyl substances research (10 papers), Air Quality and Health Impacts (7 papers), Toxic Organic Pollutants Impact (7 papers), Soil Carbon and Nitrogen Dynamics (5 papers), Soil and Water Nutrient Dynamics (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Adsorption and biosorption for pollutant removal (4 papers) and Phosphorus and nutrient management (4 papers). The work is most often cited by research in Genetics (265 citations), Environmental Chemistry (263 citations), Health, Toxicology and Mutagenesis (333 citations), Reproductive Medicine (149 citations) and Analytical Chemistry (119 citations). Bei Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Haibin Kuang, Dalei Zhang, Mary C. Williams, Wellington Veras Cardoso, Ross S. Summer, Alan Fine, Darrell N. Kotton, Lei Wu, Yanfang Feng and Gengli Duan. Their work appears in journals such as Peptides, Journal of Hazardous Materials, BioMed Research International, Frontiers in Microbiology and Journal of Chromatography B.

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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