Guanglei Yu

27 papers receiving 310 citations

Hit Papers

Efficacy and Safety of Baricitinib in Patients with Severe Alopecia Areata over 52 Weeks of Continuous Therapy in Two Phase III Trials (BRAVE-AA1 and BRAVE-AA2) 2023 · 65 citations
650+1+2Years since publication204060

Peers

Guanglei Yu
Comparison fields: 5 of 58
  • Urology 185
  • Dermatology 134
  • Statistics and Probability 50
  • Pathology and Forensic Medicine 80
  • Rehabilitation 17
Replace Virginia C. Weiss with:
Virginia C. Weiss United States
Atsuko Fukuyasu Japan
Yifan Hu China
Sylvia Lew Israel
Anupama Singh United States
Stefan Woehrl Switzerland
Edmund Lee United States
Igor Bartenjev Slovenia
Paymann Harirchian United States
Pier Paolo Leoncini Italy
Guanglei Yu relative to Virginia C. Weiss United States Virginia C. Weiss's profile →
Citations per field
00.5×10×15×19.5×
Virginia C. Weiss · 1×
Citations per year

Countries citing papers authored by Guanglei Yu

Since Specialization
Citations

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

Fields of papers citing papers by Guanglei Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202190
2
Efficacy and Safety of Baricitinib in Patients with Severe Alopecia Areata over 52 Weeks of Continuous Therapy in Two Phase III Trials (BRAVE-AA1 and BRAVE-AA2)
Hit paper breakdown →
202365
3 202043
4 202421
5 202414
6 199912
7 202312
8 20239
9 20186
10 20236
11 20226
12 20174
13 20244
14 20243
15 20223
16 20213
17 20242
18 20222
19 20231
20 20251

About Guanglei Yu

Guanglei Yu is a scholar working on Urology, Rehabilitation, Epidemiology, Molecular Biology and Statistics and Probability, having authored 31 papers that have together received 314 indexed citations. Recurring topics across this work include Hair Growth and Disorders (17 papers), Wound Healing and Treatments (8 papers), Dermatologic Treatments and Research (5 papers), Autoimmune Bullous Skin Diseases (5 papers), Autoimmune and Inflammatory Disorders (4 papers), Statistical Methods and Bayesian Inference (3 papers), Statistical Methods and Inference (3 papers) and Advanced Causal Inference Techniques (3 papers). The work is most often cited by research in Urology (185 citations), Dermatology (134 citations), Statistics and Probability (50 citations), Pathology and Forensic Medicine (80 citations) and Rehabilitation (17 citations). Guanglei Yu has collaborated with scholars based in United States, Japan and Spain. Frequent co-authors include Yves Dutronc, Margaret Gamalo, Brett King, Jill Shwed McCollam, Justin Ko, Katrin Holzwarth, Manabu Ohyama, Natasha Atanaskova Mesinkovska, Maryanne M. Senna and Emily Edson‐Heredia. Their work appears in journals such as Journal of the American Academy of Dermatology, Journal of Biopharmaceutical Statistics, Dermatology and Therapy, JAMA Dermatology and Scandinavian Journal of Statistics.

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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