Zhanglei Mu

653 citations
31 papers · 358 · h-index 9

Impact in

    • Dermatology and Skin Diseases
    • Contact Dermatitis and Allergies
    • Allergic Rhinitis and Sensitization
    • Food Allergy and Anaphylaxis Research

Papers in

    • Dermatology and Skin Diseases 13
    • Contact Dermatitis and Allergies 2
    • Psoriasis: Treatment and Pathogenesis 7
    • T-cell and B-cell Immunology 3

Zhanglei Mu

25 papers receiving 349 citations

Peers

Zhanglei Mu
Comparison fields: 5 of 76
  • Dermatology 206
  • Immunology and Allergy 108
  • Urology 72
  • Drug Discovery 1
  • Immunology 71
Replace Girish C. Mohan with:
Girish C. Mohan United States
Evangeline Pierce United States
Shoko Arakawa Japan
Paola Facheris Italy
Po‐Chien Wu Taiwan
Enrique Sendagorta Spain
Sahil Sekhon United States
Nina Magnolo Germany
O. Bleck Germany
C Lemmen Germany
Zhanglei Mu relative to Girish C. Mohan United States Girish C. Mohan's profile →
Citations per field
00.5×1.5×2.3×
Girish C. Mohan · 1×
Citations per year

Countries citing papers authored by Zhanglei Mu

Since Specialization
Citations

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

Fields of papers citing papers by Zhanglei Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Zhanglei Mu, 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 Zhanglei Mu Line = papers co-authored together Zhanglei Mu 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 201476
2 200970
3 202045
4 202024
5 202021
6 201917
7 201616
8 201914
9 20139
10 20198
11 20148
12 20237
13 20096
14 20206
15 20235
16 20215
17 20215
18 20154
19 20174
20 20243

About Zhanglei Mu

Zhanglei Mu is a scholar working on Dermatology, Immunology, Rheumatology, Immunology and Allergy and Pharmacology, having authored 31 papers that have together received 358 indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (13 papers), Allergic Rhinitis and Sensitization (7 papers), Psoriasis: Treatment and Pathogenesis (7 papers), Urticaria and Related Conditions (6 papers), T-cell and B-cell Immunology (3 papers), Drug-Induced Adverse Reactions (3 papers), Contact Dermatitis and Allergies (2 papers) and Hair Growth and Disorders (2 papers). The work is most often cited by research in Dermatology (206 citations), Immunology and Allergy (108 citations), Urology (72 citations), Drug Discovery (1 citation) and Immunology (71 citations). Zhanglei Mu has collaborated with scholars based in China and United States. Frequent co-authors include Jianzhong Zhang, Yan Zhao, Xiaojing Liu, Jianzhong Zhang, Christopher Chang, Yuqing Hu, Ping Liu, Jun Zhou, Feng Xu and Ping Liu. Their work appears in journals such as Clinical Cosmetic and Investigational Dermatology, Dermatologic Therapy, Journal of the American Academy of Dermatology, Advances in experimental medicine and biology and International Immunopharmacology.

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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