Chao Gu

5.2k total citations · 1 hit paper
98 papers, 2.7k citations indexed

About

Chao Gu is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Chao Gu has authored 98 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Plant Science, 68 papers in Molecular Biology and 13 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Chao Gu's work include Plant Reproductive Biology (38 papers), Plant Molecular Biology Research (37 papers) and Plant Physiology and Cultivation Studies (27 papers). Chao Gu is often cited by papers focused on Plant Reproductive Biology (38 papers), Plant Molecular Biology Research (37 papers) and Plant Physiology and Cultivation Studies (27 papers). Chao Gu collaborates with scholars based in China, United States and New Zealand. Chao Gu's co-authors include Shaoling Zhang, Yuepeng Han, Hui Zhou, Andrew C. Allan, Kaijie Qi, Guoming Wang, Jun Wu, Kui Lin‐Wang, Liao Liao and Zhihua Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Plant Cell.

In The Last Decade

Chao Gu

91 papers receiving 2.7k citations

Hit Papers

Molecular genetics of blood‐fleshed peach reveals activat... 2015 2026 2018 2022 2015 100 200 300 400

Peers

Chao Gu
Comparison fields: 5 of 90
  • Molecular Biology 2.0k
  • Plant Science 1.8k
  • Biochemistry 538
  • Ecology, Evolution, Behavior and Systematics 192
  • Cell Biology 114
Replace Huicong Wang with:
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Ji‐Hong Liu China
Yuanling Chen China
Gaetano Perrotta Italy
Lingfei Xu China
Barbara Miller United States
Jian‐Ping An China
Kentaro Mori Japan
Zhongshan Gao China
Huicong Wang China View profile →
Citations per field, relative to Chao Gu
Chao Gu · 1×
Citations per year, relative to Chao Gu
Chao Gu · 1×

Countries citing papers authored by Chao Gu

Since Specialization
Citations

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

Fields of papers citing papers by Chao Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Gu. A scholar is included among the top collaborators of Chao Gu 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 Chao Gu. Chao Gu 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
# Work Indexed citations
1 0
2 4
3 1
4 1
5 6
6 0
7 16
8 10
9 17
10 3
11 6
12 7
13 43
14 146
15
Antibiotic resistance profile and genetic traits of soil isolated bacteriaand their subsistence on Penicillin or Tetracycline
2
16 52
17 10
18 36
19 4
20 40

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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