Zixing Fang

2.4k citations
19 papers · 1.9k indexed · 1 hit paper · h-index 15
Topics
Forest ecology and management (4 papers)Tree Root and Stability Studies (3 papers)Plant Water Relations and Carbon Dynamics (2 papers)

In The Last Decade

Zixing Fang

19 papers receiving 1.8k citations

Hit Papers

Gene Expression Profiling of Gliomas Strongly Predicts Su...20042026201120182004100200300400500

Peers

Zixing Fang
Comparison fields: 5 of 138
  • Molecular Biology 776
  • Nature and Landscape Conservation 466
  • Cancer Research 313
  • Genetics 288
  • Environmental Engineering 247
Replace Yue Shi with:
Yue Shi China
Katsunori Mizuno Japan
Stuart W. Smith United Kingdom
Yong He China
Jian Xiao China
Michael Götz Germany
Maozhen Zhang China
Wenhan Li China
Yanping Guo China
Yiwen Liu China
Zixing Fang relative to Yue Shi China Yue Shi's profile →
Citations per field
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Yue Shi · 1×
Citations per year

Countries citing papers authored by Zixing Fang

Since Specialization
Citations

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

Fields of papers citing papers by Zixing Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zixing Fang

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 108
2 41
3 4
4 81
5 43
6 77
7 276
8 29
9 36
10
Gene Expression Profiling of Gliomas Strongly Predicts Survivalbreakdown →
563
11 30
12 65
13 2
14 2
15 188
16 4
17 129
18 39
19 146

About Zixing Fang

Zixing Fang is a scholar working on Nature and Landscape Conservation, Orthopedics and Sports Medicine and Genetics, having authored 19 papers that have together received 1.9k indexed citations. Recurring topics across this work include Forest ecology and management (4 papers), Tree Root and Stability Studies (3 papers) and Plant Water Relations and Carbon Dynamics (2 papers). The work is most often cited by research in Nature and Landscape Conservation (466 citations), Genetics (288 citations) and Cancer Research (313 citations). Zixing Fang has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Robert L. Bailey, Steve Horvath, Stanley F. Nelson, Paul S. Mischel, Timothy F. Cloughesy, F. Edmundo Castro-Vargas, William A. Freije, Linda M. Liau, Marc Carlson and Bin Zhang. Their work appears in journals such as Circulation, Cancer Research and Biometrics.

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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