Guogan Wu

612 total citations
25 papers, 420 citations indexed

About

Guogan Wu is a scholar working on Molecular Biology, Plant Science and Biomedical Engineering. According to data from OpenAlex, Guogan Wu has authored 25 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Plant Science and 9 papers in Biomedical Engineering. Recurrent topics in Guogan Wu's work include Biofuel production and bioconversion (7 papers), Enzyme Production and Characterization (5 papers) and Microbial Community Ecology and Physiology (4 papers). Guogan Wu is often cited by papers focused on Biofuel production and bioconversion (7 papers), Enzyme Production and Characterization (5 papers) and Microbial Community Ecology and Physiology (4 papers). Guogan Wu collaborates with scholars based in China, Australia and Canada. Guogan Wu's co-authors include Weilan Shao, Jinbin Wang, Hui Peng, Peng Li, Lei Ge, Aihu Pan, Xueming Tang, Lili Song, Haijuan Zeng and Cong Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Guogan Wu

25 papers receiving 413 citations

Peers

Guogan Wu
Comparison fields: 5 of 67
  • Molecular Biology 243
  • Plant Science 133
  • Biomedical Engineering 112
  • Ecology 70
  • Biotechnology 56
Replace Tássio Brito de Oliveira with:
Tássio Brito de Oliveira Brazil
Lummy Maria Oliveira Monteiro Brazil
Maria Letícia Bonatelli Brazil
Vu Nguyen Thanh Sweden
Hongzhi Bai China
Jean Franco Castro Chile
Márcia Soares Vidal Brazil
Radhakrishna S. Pandit India
Daniel H. Grasso Argentina
Hao-Yu Zang China
Tássio Brito de Oliveira Brazil View profile →
Citations per field, relative to Guogan Wu
Guogan Wu · 1×
Citations per year, relative to Guogan Wu
Guogan Wu · 1×

Countries citing papers authored by Guogan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Guogan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guogan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Guogan Wu. A scholar is included among the top collaborators of Guogan Wu 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 Guogan Wu. Guogan Wu 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 30
2 8
3 33
4 36
5 6
6 7
7 11
8 41
9 14
10 4
11 34
12 4
13 36
14 10
15
[Codon usage bias in the straw mushroom Volvariella volvacea].
3
16 3
17 15
18 42
19 12
20 13

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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