Shengqiang Shu

31.8k citations
57 papers · 9.0k indexed · 5 hit papers · h-index 27
Topics
Genomics and Phylogenetic Studies (16 papers)Insect and Arachnid Ecology and Behavior (11 papers)Insect and Pesticide Research (10 papers)

In The Last Decade

Shengqiang Shu

57 papers receiving 8.9k citations

Hit Papers

Phytozome: a comparative platform for green plant geno...20022026201020182011200820022002201710002.0k3.0k

Peers

Shengqiang Shu
Comparison fields: 5 of 153
  • Molecular Biology 5.5k
  • Plant Science 4.7k
  • Genetics 1.6k
  • Ecology, Evolution, Behavior and Systematics 747
  • Insect Science 640
Replace Corina Antonescu with:
Corina Antonescu United States
Lorian Schaeffer United States
Tsung-Cheng Chang United States
Xiaoqiu Huang United States
Joseph M. Paggi United States
Jody Clements United States
Chanhee Park South Korea
Christopher Bennett United States
Steven P. Briggs United States
Burkhard Morgenstern Germany
Shengqiang Shu relative to Corina Antonescu United States Corina Antonescu's profile →
Citations per field
00.5×1.5×1.8×
Corina Antonescu · 1×
Citations per year

Countries citing papers authored by Shengqiang Shu

Since Specialization
Citations

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

Fields of papers citing papers by Shengqiang Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengqiang Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Shengqiang Shu. A scholar is included among the top collaborators of Shengqiang Shu 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 Shengqiang Shu. Shengqiang Shu 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 10
2 23
3 3
4 17
5 2
6 24
7 59
8 9
9 76
10 40
11 26
12 273
13 17
14 142
15
The Generic Genome Browser: A Building Block for a Model Organism System Databasebreakdown →
848
16 17
17 40
18 34
19 43
20 23

About Shengqiang Shu

Shengqiang Shu is a scholar working on Insect Science, Horticulture and Ecology, Evolution, Behavior and Systematics, having authored 57 papers that have together received 9.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (16 papers), Insect and Arachnid Ecology and Behavior (11 papers) and Insect and Pesticide Research (10 papers). The work is most often cited by research in Plant Science (4.7k citations), Horticulture (78 citations) and Molecular Biology (5.5k citations). Shengqiang Shu has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Daniel S. Rokhsar, Uffe Hellsten, David Goodstein, Richard D. Hayes, Therese Mitros, Nicholas H. Putnam, Russell W. Howson, Suzanna Lewis, Chris Mungall and Brad Marshall. Their work appears in journals such as Science, 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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