Qún Gě

2.5k citations
58 papers · 1.1k indexed · h-index 20

Impact in

    • Research in Cotton Cultivation
    • Plant Virus Research Studies
    • Plant-Microbe Interactions and Immunity
    • Plant Molecular Biology Research

Papers in

    • Plant and Fungal Interactions Research 8
    • Research in Cotton Cultivation 46
    • Plant Virus Research Studies 18
    • Plant Molecular Biology Research 6
    • Plant-Microbe Interactions and Immunity 2

Qún Gě

54 papers receiving 1.1k citations

Peers

Qún Gě
Comparison fields: 5 of 85
  • Horticulture 26
  • Plant Science 780
  • Endocrinology 86
  • Drug Discovery 1
  • Cell Biology 80
Replace Yemiao Chen with:
Yemiao Chen China
Xiaohui Yang China
Meixiang Zhang China
Yuqiang Sun China
Chuanliang Liu China
Xiangdong Luo China
Zhenhua Cui China
Shuyan Feng China
Liqiang Wu China
Michel Salmon Belgium
Qún Gě relative to Yemiao Chen China Yemiao Chen's profile →
Citations per field
00.5×4.3×
Yemiao Chen · 1×
Citations per year

Countries citing papers authored by Qún Gě

Since Specialization
Citations

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

Fields of papers citing papers by Qún Gě

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20246
3 20230
4 20237
5 20239
6 20239
7 20232
8 20239
9 202311
10 20224
11 20214
12 20217
13 202114
14 20214
15 202110
16 2021128
17 202016
18 201834
19 201716
20 201727

About Qún Gě

Qún Gě is a scholar working on Endocrinology, Plant Science, Horticulture, Gastroenterology and Energy Engineering and Power Technology, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Research in Cotton Cultivation (46 papers), Plant Virus Research Studies (18 papers), Plant and Fungal Interactions Research (8 papers), Plant Molecular Biology Research (6 papers), Celiac Disease Research and Management (3 papers), Inflammatory Myopathies and Dermatomyositis (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Plant-Microbe Interactions and Immunity (2 papers). The work is most often cited by research in Horticulture (26 citations), Plant Science (780 citations), Endocrinology (86 citations), Drug Discovery (1 citation) and Cell Biology (80 citations). Qún Gě has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Wànkuí Gǒng, Jǔwǔ Gōng, Ira N. Targoff, Jùnwén Lǐ, Hǎihóng Shāng, Àiyīng Liú, Yùzhēn Shí, Yǒulù Yuán, Mark Barton Frank and Charles A. O’Brien. Their work appears in journals such as Frontiers in Plant Science, PLoS ONE, Theoretical and Applied Genetics, Molecular Genetics and Genomics and International Journal of Molecular Sciences.

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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