Jun Hu

2.8k citations
94 papers · 1.9k · h-index 25

Impact in

Papers in

    • Plant Disease Resistance and Genetics 14
    • Plant Pathogens and Resistance 12
    • Plant Surface Properties and Treatments 7
    • Plant-Microbe Interactions and Immunity 5

Jun Hu

87 papers receiving 1.9k citations

Peers

Jun Hu
Comparison fields: 5 of 137
  • Aquatic Science 271
  • Horticulture 28
  • Immunology 374
  • Ecological Modeling 61
  • Molecular Biology 823
Replace Steve M. Read with:
Steve M. Read Australia
Harm Nijveen Netherlands
Seung Chul Shin South Korea
Ken Kawamoto Japan
Ravi K. Patel United States
Marco Gerdol Italy
Wei Gu China
Qishan Wang China
Lin Zhang China
Xing‐Hai Zhang United States
Jun Hu relative to Steve M. Read Australia Steve M. Read's profile →
Citations per field
00.5×9.5×
Steve M. Read · 1×
Citations per year

Countries citing papers authored by Jun Hu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005196
2 2008100
3 202093
4 201290
5 201689
6 201775
7 201572
8 200667
9 201364
10 200758
11 201556
12 201655
13 201651
14 201247
15 200443
16 201035
17 200535
18 201235
19 201934
20 201832

About Jun Hu

Jun Hu is a scholar working on Plant Science, Molecular Biology, Food Science, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 94 papers that have together received 1.9k indexed citations. Recurring topics across this work include Plant Disease Resistance and Genetics (14 papers), Plant Pathogens and Resistance (12 papers), Potato Plant Research (9 papers), Aquaculture disease management and microbiota (9 papers), Plant Surface Properties and Treatments (7 papers), Aquaculture Nutrition and Growth (7 papers), Electrohydrodynamics and Fluid Dynamics (5 papers) and Plant-Microbe Interactions and Immunity (5 papers). The work is most often cited by research in Aquatic Science (271 citations), Horticulture (28 citations), Immunology (374 citations), Ecological Modeling (61 citations) and Molecular Biology (823 citations). Jun Hu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Bin Tian, Carol S. Lutz, Jeffrey Wilusz, Zhigang Zhou, Hong Li, Chao Ran, Suxu He, Guangcun Li, Liping Jin and Yasunori Tanji. Their work appears in journals such as Agronomy, Frontiers in Plant Science, Fish & Shellfish Immunology, Journal of Proteome Research and Plants.

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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