Kai Guo

1.6k citations
41 papers · 800 · h-index 13

Impact in

    • Research in Cotton Cultivation
    • Plant Stress Responses and Tolerance
    • Plant Molecular Biology Research
    • Plant Virus Research Studies
  • Pollution top 10%
    • Heavy metals in environment

Papers in

    • Research in Cotton Cultivation 20
    • Plant Virus Research Studies 7
    • Plant Stress Responses and Tolerance 6
    • Nematode management and characterization studies 5
    • Plant Molecular Biology Research 3
    • Plant-Microbe Interactions and Immunity 2

Kai Guo

36 papers receiving 785 citations

Peers

Kai Guo
Comparison fields: 5 of 68
  • Plant Science 675
  • Pollution 99
  • Endocrinology 44
  • Horticulture 8
  • Health, Toxicology and Mutagenesis 76
Replace H. Dayton Wilde with:
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Kai Guo relative to H. Dayton Wilde United States H. Dayton Wilde's profile →
Citations per field
00.5×6.1×
H. Dayton Wilde · 1×
Citations per year

Countries citing papers authored by Kai Guo

Since Specialization
Citations

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

Fields of papers citing papers by Kai Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006216
2 2014109
3 202090
4 201654
5 201845
6 201742
7 201827
8 201921
9 201820
10 201520
11 202016
12 201414
13 202212
14 202212
15 201512
16 202011
17 20219
18 20229
19 20208
20 20117

About Kai Guo

Kai Guo is a scholar working on Plant Science, Molecular Biology, Endocrinology, Ecology and Genetics, having authored 41 papers that have together received 800 indexed citations. Recurring topics across this work include Research in Cotton Cultivation (20 papers), Plant Virus Research Studies (7 papers), Plant Stress Responses and Tolerance (6 papers), Plant and Fungal Interactions Research (5 papers), Nematode management and characterization studies (5 papers), Plant Molecular Biology Research (3 papers), Parasite Biology and Host Interactions (3 papers) and Plant-Microbe Interactions and Immunity (2 papers). The work is most often cited by research in Plant Science (675 citations), Pollution (99 citations), Endocrinology (44 citations), Horticulture (8 citations) and Health, Toxicology and Mutagenesis (76 citations). Kai Guo has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Si Qi Huang, Zhi Min Yang, Zhao Zhou, Surya Kant Mehta, Lili Tu, Xianlong Zhang, Wenxin Tang, Keith Lindsey, Maojun Wang and Jiafu Tan. Their work appears in journals such as Frontiers in Plant Science, PROTOPLASMA, Journal of Integrative Agriculture, Industrial Crops and Products and Frontiers in Neurology.

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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