Kai Gao

3.3k citations
125 papers · 1.9k · h-index 26

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 11
    • Photosynthetic Processes and Mechanisms 8
    • Plant Reproductive Biology 8
    • Plant Gene Expression Analysis 7
    • Muscle Physiology and Disorders 7
    • Plant Molecular Biology Research 13

Kai Gao

123 papers receiving 1.9k citations

Peers

Kai Gao
Comparison fields: 5 of 149
  • Health, Toxicology and Mutagenesis 170
  • Molecular Biology 838
  • Biomedical Engineering 463
  • Plant Science 387
  • Pollution 89
Replace Xiaoguo Zhang with:
Xiaoguo Zhang China
Yongjian Chen China
Yang Zhao China
Liming Wang China
Aijun Zhang China
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Gaurav Pant India
Xiaodan Wang China
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Kai Gao relative to Xiaoguo Zhang China Xiaoguo Zhang's profile →
Citations per field
00.5×2.8×
Xiaoguo Zhang · 1×
Citations per year

Countries citing papers authored by Kai Gao

Since Specialization
Citations

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

Fields of papers citing papers by Kai Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kai Gao, 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 Kai Gao Line = papers co-authored together Kai Gao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201698
2 202088
3 201485
4 201471
5 201468
6 201663
7 201662
8 201958
9 201556
10 201355
11 201047
12 201843
13 200742
14 201839
15 201138
16 201836
17 201235
18 201834
19 201533
20 201731

About Kai Gao

Kai Gao is a scholar working on Molecular Biology, Plant Science, Biomedical Engineering, Electrical and Electronic Engineering and Health, Toxicology and Mutagenesis, having authored 125 papers that have together received 1.9k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (13 papers), Microbial Metabolic Engineering and Bioproduction (11 papers), Biofuel production and bioconversion (11 papers), Photosynthetic Processes and Mechanisms (8 papers), Plant Reproductive Biology (8 papers), Plant Gene Expression Analysis (7 papers), Muscle Physiology and Disorders (7 papers) and HIV Research and Treatment (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (170 citations), Molecular Biology (838 citations), Biomedical Engineering (463 citations), Plant Science (387 citations) and Pollution (89 citations). Kai Gao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lars Rehmann, Xinmin An, Zhong Chen, Maria Jönsson, Ingvar Brandt, Valerie Orr, Xiong Yang, Jared V. Goldstone, Antonio Marzocchella and Xiaoxing Su. Their work appears in journals such as Scientific Reports, Bioresource Technology, Plants, Transgenic Research and Biomedical Materials.

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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