Fengzhu Sun

14.2k citations
187 papers · 9.0k indexed · 4 hit papers · h-index 51
Topics
Genomics and Phylogenetic Studies (59 papers)Gene expression and cancer classification (49 papers)Bioinformatics and Genomic Networks (47 papers)

In The Last Decade

Fengzhu Sun

179 papers receiving 8.8k citations

Hit Papers

Correlation detection strategies in microbial data sets v...20112026201620212016201120172020100200300400500

Peers

Fengzhu Sun
Comparison fields: 5 of 186
  • Molecular Biology 6.1k
  • Ecology 2.3k
  • Genetics 1.8k
  • Plant Science 808
  • Computational Theory and Mathematics 499
Replace Sitao Wu with:
Sitao Wu United States
Christopher J. Creevey United Kingdom
Thomas Dandekar Germany
Zhengwei Zhu China
Carl Kingsford United States
Shujiro Okuda Japan
Markus Krummenacker United States
Masumi Itoh Japan
Helen Cook Denmark
Martijn A. Huynen Netherlands
Fengzhu Sun relative to Sitao Wu United States Sitao Wu's profile →
Citations per field
00.5×1.7×
Sitao Wu · 1×
Citations per year

Countries citing papers authored by Fengzhu Sun

Since Specialization
Citations

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

Fields of papers citing papers by Fengzhu Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengzhu Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Fengzhu Sun. A scholar is included among the top collaborators of Fengzhu Sun 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 Fengzhu Sun. Fengzhu Sun 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 1
2 0
3 26
4 6
5 3
6 11
7 3
8 24
9 37
10 31
11 15
12 19
13 13
14 3
15 90
16 4
17 28
18 17
19 123
20 11

About Fengzhu Sun

Fengzhu Sun is a scholar working on Molecular Biology, Genetics and Ecology, having authored 187 papers that have together received 9.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (59 papers), Gene expression and cancer classification (49 papers) and Bioinformatics and Genomic Networks (47 papers). The work is most often cited by research in Ecology (2.3k citations), Molecular Biology (6.1k citations) and Genetics (1.8k citations). Fengzhu Sun has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jed A. Fuhrman, Minghua Deng, Ting Chen, Michael S. Waterman, Kui Zhang, Yang Young Lu, Jie Ren, Nathan A. Ahlgren, Shipra Mehta and Jacob A. Cram. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

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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