Guogan Wu

635 citations
26 papers · 438 · h-index 13

Impact in

Papers in

    • Insect Resistance and Genetics 4
    • Microbial Metabolic Engineering and Bioproduction 3
    • Genetically Modified Organisms Research 3

Guogan Wu

26 papers receiving 431 citations

Peers

Guogan Wu
Comparison fields: 5 of 68
  • Biotechnology 58
  • Insect Science 54
  • Molecular Biology 246
  • Plant Science 135
  • Soil Science 34
Replace Jean Franco Castro with:
Jean Franco Castro Chile
Lummy Maria Oliveira Monteiro Brazil
Vu Nguyen Thanh Vietnam
Tássio Brito de Oliveira Brazil
Daniel H. Grasso Argentina
Maria Letícia Bonatelli Brazil
Hongzhi Bai China
Márcia Soares Vidal Brazil
Radhakrishna S. Pandit India
Komal Chenthamara Austria
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Guogan Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guogan Wu Line = papers co-authored together Guogan Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202144
2 200742
3 202240
4 202038
5 202334
6 202133
7 202331
8 201420
9 201518
10 201115
11 201614
12 202114
13 200513
14 200712
15 202111
16 201610
17 20239
18 20218
19 20228
20 20225

About Guogan Wu

Guogan Wu is a scholar working on Molecular Biology, Plant Science, Biomedical Engineering, Biotechnology and Pharmacology, having authored 26 papers that have together received 438 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (6 papers), Enzyme Production and Characterization (5 papers), Insect Resistance and Genetics (4 papers), Fungal Biology and Applications (4 papers), Microbial Community Ecology and Physiology (4 papers), Genetically Modified Organisms Research (3 papers), Microbial Metabolites in Food Biotechnology (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). The work is most often cited by research in Biotechnology (58 citations), Insect Science (54 citations), Molecular Biology (246 citations), Plant Science (135 citations) and Soil Science (34 citations). Guogan Wu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Weilan Shao, Jinbin Wang, Peng Li, Hui Peng, Xueming Tang, Aihu Pan, Lei Ge, Lili Song, Haijuan Zeng and Cong Hu. Their work appears in journals such as BMC Microbiology, The Science of The Total Environment, PLoS ONE, Food Chemistry and Biotechnology and Applied Biochemistry.

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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