Xiaoyu Wei

553 citations
39 papers · 347 · h-index 11

Impact in

Papers in

Xiaoyu Wei

35 papers receiving 333 citations

Peers

Xiaoyu Wei
Comparison fields: 5 of 70
  • Endocrinology 43
  • Molecular Medicine 33
  • Virology 29
  • Infectious Diseases 78
  • Food Science 63
Replace Ky V. Hoang with:
Ky V. Hoang United States
Anjalee Vacharaksa Thailand
Lisa Osbelt Germany
Wanguo Bao China
Ulrike Fiebiger Germany
Tauseef M. Asmat Pakistan
Raksha Tiwari United States
Chelsie N. Geyer United States
James Stewart Australia
Hongmei Liu China
Xiaoyu Wei relative to Ky V. Hoang United States Ky V. Hoang's profile →
Citations per field
00.5×4.6×
Ky V. Hoang · 1×
Citations per year

Countries citing papers authored by Xiaoyu Wei

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyu Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200964
2 202325
3 201425
4 202223
5 201319
6 202418
7 202318
8 201915
9
[Study of the Role and Mechanism of Asprosin/Spartin Pathway in Cardiac Microvascular Endothelial Injury Induced by Diabete Mellitus].
201915
10 202312
11 202210
12 202310
13 20259
14 20159
15 20219
16 20218
17 20237
18 20246
19 20166
20 20156

About Xiaoyu Wei

Xiaoyu Wei is a scholar working on Food Science, Molecular Biology, Molecular Medicine, Endocrinology and Infectious Diseases, having authored 39 papers that have together received 347 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (11 papers), Antibiotic Resistance in Bacteria (7 papers), Vibrio bacteria research studies (4 papers), Biosensors and Analytical Detection (4 papers), Ectopic Pregnancy Diagnosis and Management (2 papers), Brucella: diagnosis, epidemiology, treatment (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Endocrinology (43 citations), Molecular Medicine (33 citations), Virology (29 citations), Infectious Diseases (78 citations) and Food Science (63 citations). Xiaoyu Wei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shijun Li, Marc Bulterys, Dan Wang, Dingming Wang, Yan Zhao, Decai Zhao, Matthew L. Robinson, Philippe Chiliade, Ye Ma and Fujie Zhang. Their work appears in journals such as PLoS ONE, BMC Microbiology, Frontiers in Microbiology, Clinica Chimica Acta and Applied Microbiology and Biotechnology.

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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