Zuxu Yao

413 citations
16 papers · 277 indexed · h-index 10
Topics
Cutaneous Melanoma Detection and Management (12 papers)Cell Image Analysis Techniques (4 papers)Immunotherapy and Immune Responses (3 papers)
Partner nations
United States

In The Last Decade

Zuxu Yao

16 papers receiving 268 citations

Peers

Zuxu Yao
Comparison fields: 5 of 43
  • Oncology 203
  • Molecular Biology 132
  • Biophysics 65
  • Epidemiology 48
  • Dermatology 44
Replace Lygia Accioly Tinoco with:
Lygia Accioly Tinoco United States
Alison Burton United States
Serena Magi Italy
Alex M. Glazer United States
Roxana Obregon United States
Medwin M. Mintzis United States
Johnny Slade United States
Nathaniel H. Fleming United States
Petra Büttner Germany
Emily Kudalkar United States
Zuxu Yao relative to Lygia Accioly Tinoco United States Lygia Accioly Tinoco's profile →
Citations per field
00.5×10×20×30×40×46×
Lygia Accioly Tinoco · 1×
Citations per year

Countries citing papers authored by Zuxu Yao

Since Specialization
Citations

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

Fields of papers citing papers by Zuxu Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zuxu Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Zuxu Yao. A scholar is included among the top collaborators of Zuxu Yao 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 Zuxu Yao. Zuxu Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 2
2 5
3 21
4 1
5 1
6 11
7 15
8 1
9 19
10
Gene Expression Analysis Differentiates Melanomas from Spitz Nevi.
11
11 1
12 63
13
An Adhesive Patch-Based Skin Biopsy Device for Molecular Diagnostics and Skin Microbiome Studies.
14
14 10
15 90
16 12

About Zuxu Yao

Zuxu Yao is a scholar working on Biophysics, Oncology and Small Animals, having authored 16 papers that have together received 277 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (12 papers), Cell Image Analysis Techniques (4 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Biophysics (65 citations), Oncology (203 citations) and Dermatology (44 citations). Zuxu Yao has collaborated with scholars based in United States. Frequent co-authors include Burkhard Jansen, Laura K. Ferris, Pedram Gerami, Klaus J. Busam, Jonhan Ho, Ronald L. Moy, David Polsky, Gary L. Peck, Mary C. Martini and John P. Alsobrook. Their work appears in journals such as Journal of Investigative Dermatology, Journal of the American Academy of Dermatology and Electrophoresis.

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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