Xiaoxue Zhang

5.7k citations
147 papers · 4.2k indexed · 1 hit paper · h-index 34
Topics
Genetic and phenotypic traits in livestock (30 papers)Cancer-related molecular mechanisms research (28 papers)Genetic Mapping and Diversity in Plants and Animals (14 papers)

In The Last Decade

Xiaoxue Zhang

139 papers receiving 4.1k citations

Hit Papers

A myocardial lineage derives from Tbx18 epicardial cells20082026201420202008100200300400500

Peers

Xiaoxue Zhang
Comparison fields: 5 of 145
  • Molecular Biology 2.8k
  • Cancer Research 636
  • Surgery 624
  • Genetics 620
  • Epidemiology 402
Replace Mei Zhang with:
Mei Zhang China
Chunhua Yang China
Yue Zhang China
Arun K. Rishi United States
Tae‐Yoon Kim South Korea
Cornelia Braicu Romania
Masaaki Miyamoto Japan
Kesturu S. Girish India
Alice P. Pentland United States
Ajaz A. Bhat India
Xiaoxue Zhang relative to Mei Zhang China Mei Zhang's profile →
Citations per field
00.5×3.6×
Mei Zhang · 1×
Citations per year

Countries citing papers authored by Xiaoxue Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxue Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoxue Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoxue Zhang. A scholar is included among the top collaborators of Xiaoxue Zhang 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 Xiaoxue Zhang. Xiaoxue Zhang 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
#WorkIndexed citations
1 2
2 3
3 13
4 0
5 2
6 8
7 10
8 33
9 48
10 85
11 15
12 15
13 6
14 9
15 2
16 24
17 43
18 27
19 12
20 3

About Xiaoxue Zhang

Xiaoxue Zhang is a scholar working on Cancer Research, Genetics and Molecular Biology, having authored 147 papers that have together received 4.2k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (30 papers), Cancer-related molecular mechanisms research (28 papers) and Genetic Mapping and Diversity in Plants and Animals (14 papers). The work is most often cited by research in Cancer Research (636 citations), Molecular Biology (2.8k citations) and Molecular Medicine (112 citations). Xiaoxue Zhang has collaborated with scholars based in China, United States and Estonia. Frequent co-authors include Sylvia Μ. Evans, Chen‐Leng Cai, Lei Bu, Ju Chen, Lei Yang, Li Cui, Jody Martin, Wenlai Zhou, Michael G. Rosenfeld and Kunfu Ouyang. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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