Miaojian Wan

816 total citations
33 papers, 539 citations indexed

About

Miaojian Wan is a scholar working on Dermatology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Miaojian Wan has authored 33 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Dermatology, 9 papers in Pulmonary and Respiratory Medicine and 9 papers in Epidemiology. Recurrent topics in Miaojian Wan's work include Skin Protection and Aging (10 papers), Nonmelanoma Skin Cancer Studies (8 papers) and Hair Growth and Disorders (7 papers). Miaojian Wan is often cited by papers focused on Skin Protection and Aging (10 papers), Nonmelanoma Skin Cancer Studies (8 papers) and Hair Growth and Disorders (7 papers). Miaojian Wan collaborates with scholars based in China, United States and Canada. Miaojian Wan's co-authors include Wei Lai, Yue Zheng, Xianyan Chen, Wenjia Deng, Ben Liu, Xin Tang, Haiyan Chen, Howard I. Maïbach, Miao Yu and Zijian Gong and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Journal of the American Academy of Dermatology.

In The Last Decade

Miaojian Wan

28 papers receiving 521 citations

Peers

Miaojian Wan
Comparison fields: 5 of 88
  • Dermatology 215
  • Molecular Biology 163
  • Urology 119
  • Cell Biology 92
  • Cancer Research 69
Replace Silvia Caputo with:
Silvia Caputo Italy
Jungtae Na South Korea
Nadja Zöller Germany
Hyeon Gyeong Yoo South Korea
Janin Lehmann Germany
Kyu‐Suk Lee South Korea
Felicia Permatasari China
Mitsuko Kawano Japan
Charbel Bouez France
Phil June Park South Korea
Silvia Caputo Italy View profile →
Citations per field, relative to Miaojian Wan
Miaojian Wan · 1×
Citations per year, relative to Miaojian Wan
Miaojian Wan · 1×

Countries citing papers authored by Miaojian Wan

Since Specialization
Citations

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

Fields of papers citing papers by Miaojian Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miaojian Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Miaojian Wan. A scholar is included among the top collaborators of Miaojian Wan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Miaojian Wan. Miaojian Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 9
5 0
6 27
7 4
8 10
9 38
10 15
11 48
12 11
13 1
14 29
15 16
16 18
17 7
18 57
19 29
20
[The immune response of human keratinocytes to Trichophyton rubrum conidia is partially mediated by toll-like receptor-2, 4, dectin-1 and cytokines].
10

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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