Wei Yu

87 papers receiving 1.4k citations

Peers

Wei Yu
Comparison fields: 5 of 116
  • Molecular Medicine 415
  • Applied Microbiology and Biotechnology 67
  • Endocrinology 170
  • Anesthesiology and Pain Medicine 79
  • Pharmacology 160
Replace J Pierre with:
J Pierre France
Marina Sartini Italy
Marianne S. Muhlebach United States
Laura E. Johnson United States
Julie Perry Canada
Nicolas Grégoire France
Min‐Chi Lu Taiwan
Wolfgang A. Krueger Germany
Toh Leong Tan Malaysia
Rosario Amaya‐Villar Spain
Wei Yu relative to J Pierre France J Pierre's profile →
Citations per field
00.5×10×20×30×40×49.2×
J Pierre · 1×
Citations per year

Countries citing papers authored by Wei Yu

Since Specialization
Citations

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

Fields of papers citing papers by Wei Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Using diagnoses to describe populations and predict costs.
2000146
2 2018112
3 201783
4 202167
5 201060
6 201954
7 201937
8 201736
9 200635
10 201733
11 201831
12 201829
13 202029
14 202127
15 201927
16 200427
17 202126
18 202225
19 202124
20 202121

About Wei Yu

Wei Yu is a scholar working on Molecular Medicine, Pharmacology, Molecular Biology, Applied Microbiology and Biotechnology and Epidemiology, having authored 94 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (26 papers), Antibiotics Pharmacokinetics and Efficacy (14 papers), Antibiotic Use and Resistance (8 papers), Infant Nutrition and Health (7 papers), Vibrio bacteria research studies (6 papers), Bacterial biofilms and quorum sensing (4 papers), Antimicrobial Resistance in Staphylococcus (3 papers) and Pharmaceutical and Antibiotic Environmental Impacts (3 papers). The work is most often cited by research in Molecular Medicine (415 citations), Applied Microbiology and Biotechnology (67 citations), Endocrinology (170 citations), Anesthesiology and Pain Medicine (79 citations) and Pharmacology (160 citations). Wei Yu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qixia Luo, Yonghong Xiao, Kai Zhou, Ping Shen, Lihua Guo, Tianshui Niu, Yonghong Xiao, Yunqing Qiu, Yunbo Chen and Lisa I. Iezzoni. Their work appears in journals such as Infection and Drug Resistance, Frontiers in Cellular and Infection Microbiology, Drug Design Development and Therapy, BMC Infectious Diseases and International Journal of Antimicrobial Agents.

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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