Xiaowei Yao

733 citations
44 papers · 530 · h-index 12

Impact in

Papers in

Xiaowei Yao

39 papers receiving 523 citations

Peers

Xiaowei Yao
Comparison fields: 5 of 103
  • Molecular Medicine 28
  • Epidemiology 121
  • Molecular Biology 213
  • Gastroenterology 17
  • Endocrinology, Diabetes and Metabolism 50
Replace Maja Đanić with:
Maja Đanić Serbia
Bojan Stanimirov Serbia
José Vázquez‐Tato Spain
Franklin W. Okumu United States
Jiabin Li China
Thais Fernanda de Campos Fraga‐Silva Brazil
Neelima Kukreti India
Sharron Stewart United States
Monica Gulati India
Xiaowei Yao relative to Maja Đanić Serbia Maja Đanić's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xiaowei Yao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowei Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019137
2 202283
3 199650
4 200436
5 199622
6 202320
7 202317
8 201715
9 202012
10 201812
11 202112
12 202311
13 20238
14 19967
15 20217
16 19917
17 20236
18 20236
19 19976
20 19986

About Xiaowei Yao

Xiaowei Yao is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Biomedical Engineering, Surgery and Epidemiology, having authored 44 papers that have together received 530 indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (8 papers), Gut microbiota and health (5 papers), Mechanical and Optical Resonators (4 papers), Fullerene Chemistry and Applications (3 papers), Advanced Electron Microscopy Techniques and Applications (3 papers), Graphene research and applications (3 papers), Biosensors and Analytical Detection (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Molecular Medicine (28 citations), Epidemiology (121 citations), Molecular Biology (213 citations), Gastroenterology (17 citations) and Endocrinology, Diabetes and Metabolism (50 citations). Xiaowei Yao has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Hongtao Liu, Aizhen Lin, Haiming Hu, Mingzhu Yin, Junping Zheng, Dror Sarid, Hui Xia, Richard K. Workman, Mingwang Kong and Jun Ma. Their work appears in journals such as Analytica Chimica Acta, Physical review. B, Condensed matter, Journal of Functional Foods, Surface Science and Israel Journal of Chemistry.

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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