Yawei Que

528 citations
13 papers · 416 · h-index 11

Impact in

  • Cell Biology top 10%
    • Plant Pathogens and Fungal Diseases
    • Plant-Microbe Interactions and Immunity
    • Mycotoxins in Agriculture and Food
    • Plant Disease Resistance and Genetics

Papers in

    • Fungal and yeast genetics research 9
    • Plant-Microbe Interactions and Immunity 7
    • Mycotoxins in Agriculture and Food 2

Yawei Que

13 papers receiving 414 citations

Peers

Yawei Que
Comparison fields: 5 of 38
  • Cell Biology 166
  • Plant Science 316
  • Pharmacology 76
  • Molecular Biology 247
  • Endocrinology 11
Replace Pengyun Huang with:
Pengyun Huang China
David Segorbe Spain
Marike Johanne Boenisch Germany
You‐Kyoung Han South Korea
Margarita Marroquin‐Guzman United States
Jawad Merhej France
Gerhard Weinzierl Germany
Huahui Lan China
Justice Norvienyeku China
Xuli Gao China
Yawei Que relative to Pengyun Huang China Pengyun Huang's profile →
Citations per field
00.5×1.5×1.9×
Pengyun Huang · 1×
Citations per year

Countries citing papers authored by Yawei Que

Since Specialization
Citations

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

Fields of papers citing papers by Yawei Que

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201772
2 201169
3 201064
4 201350
5 201535
6 201626
7 201923
8 201420
9 201919
10 201518
11 201714
12 20154
13
Molecular cloning and expression analysis of an Mnsuperoxide dismutase gene in sugarcane
20122

About Yawei Que

Yawei Que is a scholar working on Molecular Biology, Plant Science, Pharmacology, Cell Biology and Biotechnology, having authored 13 papers that have together received 416 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (9 papers), Plant-Microbe Interactions and Immunity (7 papers), Fungal Biology and Applications (5 papers), Microbial Natural Products and Biosynthesis (3 papers), Plant Pathogens and Fungal Diseases (2 papers), Mycotoxins in Agriculture and Food (2 papers), Fungal Plant Pathogen Control (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Cell Biology (166 citations), Plant Science (316 citations), Pharmacology (76 citations), Molecular Biology (247 citations) and Endocrinology (11 citations). Yawei Que has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Zhengyi Wang, Nicholas J. Talbot, Xiaofeng Yue, Zhonghua Ma, Yan Xia, Chunyan Wang, Hong Wang, Nan Yang, Congcong Wang and Ya Li. Their work appears in journals such as Current Genetics, Scientific Reports, PLoS ONE, Fungal Genetics and Biology and PLoS Pathogens.

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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