Kun Gao

1.7k citations
67 papers · 1.4k indexed · h-index 23
Topics
Algal biology and biofuel production (17 papers)Insect Resistance and Genetics (14 papers)Invertebrate Immune Response Mechanisms (11 papers)

In The Last Decade

Kun Gao

67 papers receiving 1.4k citations

Peers

Kun Gao
Comparison fields: 5 of 107
  • Renewable Energy, Sustainability and the Environment 423
  • Molecular Biology 358
  • Insect Science 212
  • Plant Science 167
  • Pollution 163
Replace Tatjana Tišler with:
Tatjana Tišler Slovenia
Yuanqing Bu China
Farhad Moshiri United States
Mingkang Jin China
Yukun Liu China
Meilin He China
Rafael Blasco Spain
James B. McKinlay United States
Lili Wei China
Chengcheng Feng China
Kun Gao relative to Tatjana Tišler Slovenia Tatjana Tišler's profile →
Citations per field
00.5×2.6×
Tatjana Tišler · 1×
Citations per year

Countries citing papers authored by Kun Gao

Since Specialization
Citations

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

Fields of papers citing papers by Kun Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Gao. A scholar is included among the top collaborators of Kun Gao 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 Kun Gao. Kun Gao 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
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4 15
5 50
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7 22
8 18
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10 32
11 11
12 32
13 70
14 1
15 26
16 65
17 108
18 5
19
Differentially expressed genes in the silkworm (Bombyx mori) against infection by Beauveria bassiana.
3
20
Prokaryotic Expression of Bombyx mori Insulin-Related Peptide-Binding Protein 2 (BmIBP2) and Its Tissue-Specificity in Silkworm
1

About Kun Gao

Kun Gao is a scholar working on Environmental Chemistry, Renewable Energy, Sustainability and the Environment and Catalysis, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include Algal biology and biofuel production (17 papers), Insect Resistance and Genetics (14 papers) and Invertebrate Immune Response Mechanisms (11 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (423 citations), Insect Science (212 citations) and Pollution (163 citations). Kun Gao has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiangyuan Deng, Da Li, Xiang-Yuan Deng, Xijie Guo, Jie Cheng, Chengxiang Hou, Xiaoli Hu, Guangxing Qin, Biao Chen and Heying Qian. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and Bioresource Technology.

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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