Xuran Wang

2.0k citations
24 papers · 970 · 1 hit paper · h-index 13

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research

Papers in

Xuran Wang

20 papers receiving 964 citations

Xuran Wang's Hit Papers

Bulk tissue cell type deconvolution with multi-subject single-cell expression reference 2019 · 490 citations
4900+2+4Years since publication100200300400

Peers

Xuran Wang
Comparison fields: 5 of 118
  • Neurology 122
  • Cancer Research 138
  • Biological Psychiatry 20
  • Molecular Biology 477
  • Immunology 123
Replace Michael Coronado with:
Michael Coronado United States
Nan Zhou China
Reuben Thomas United States
Beatrice Severino Italy
Qinying Li China
Hanbing Zhong China
Yanyan Chen China
Chelsea E. Langer United States
Jingyi Sun China
Fu Zhang China
Xuran Wang relative to Michael Coronado United States Michael Coronado's profile →
Citations per field
00.5×2.6×
Michael Coronado · 1×
Citations per year

Countries citing papers authored by Xuran Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xuran Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Bulk tissue cell type deconvolution with multi-subject single-cell expression reference
Hit paper breakdown →
2019490
2 2020151
3 202138
4 201738
5 201837
6 201836
7 202230
8 201823
9 202122
10 202121
11 201917
12 202213
13 202113
14 201811
15 201210
16 20187
17 20225
18 20244
19 20232
20
Analysis and Forecast on the Logistics Demand of Agricultural Products
20091

About Xuran Wang

Xuran Wang is a scholar working on Molecular Biology, Analytical Chemistry, Health, Toxicology and Mutagenesis, Electrical and Electronic Engineering and Biomedical Engineering, having authored 24 papers that have together received 970 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Analytical chemistry methods development (4 papers), Biosensors and Analytical Detection (2 papers), Toxic Organic Pollutants Impact (2 papers), Cancer-related molecular mechanisms research (1 paper), Alzheimer's disease research and treatments (1 paper), Organic Electronics and Photovoltaics (1 paper) and Power System Optimization and Stability (1 paper). The work is most often cited by research in Neurology (122 citations), Cancer Research (138 citations), Biological Psychiatry (20 citations), Molecular Biology (477 citations) and Immunology (123 citations). Xuran Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Mingyao Li, Nancy R. Zhang, Katalin Suszták, Jihwan Park, Kathryn Roeder, David Choi, Edward B. Lee, EunRan Suh, Kui Wang and Gang Hu. Their work appears in journals such as Nature Communications, Microchemical Journal, BMC Veterinary Research, Briefings in Bioinformatics and Genome biology.

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.

Explore authors with similar magnitude of impact