Jun Hu

2.7k citations
89 papers · 1.8k · h-index 23

Impact in

Papers in

    • RNA modifications and cancer 6
    • Genomics and Phylogenetic Studies 5
    • Plant Disease Resistance and Genetics 16
    • Plant Pathogens and Resistance 13
    • Plant Surface Properties and Treatments 7

Jun Hu

84 papers receiving 1.8k citations

Peers

Jun Hu
Comparison fields: 5 of 135
  • Aquatic Science 255
  • Horticulture 29
  • Immunology 365
  • Ecological Modeling 61
  • Molecular Biology 813
Replace Steve M. Read with:
Steve M. Read Australia
Ken Kawamoto Japan
Ravi K. Patel United States
Lin Zhang China
L. Wei China
Shengkang Li China
Wei Gu China
Xing‐Hai Zhang United States
Marnik Vuylsteke Belgium
Jun Hu relative to Steve M. Read Australia Steve M. Read's profile →
Citations per field
00.5×5.5×
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 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005195
2 200894
3 202086
4 201686
5 201284
6 201772
7 201567
8 200665
9 201356
10 200756
11 201555
12 201653
13 201648
14 201243
15 200443
16 201233
17 200533
18 201933
19 201032
20 201831

About Jun Hu

Jun Hu is a scholar working on Molecular Biology, Plant Science, Food Science, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 89 papers that have together received 1.8k indexed citations. Recurring topics across this work include Plant Disease Resistance and Genetics (16 papers), Plant Pathogens and Resistance (13 papers), Aquaculture disease management and microbiota (9 papers), Potato Plant Research (9 papers), Plant Surface Properties and Treatments (7 papers), RNA modifications and cancer (6 papers), Aquaculture Nutrition and Growth (6 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Aquatic Science (255 citations), Horticulture (29 citations), Immunology (365 citations), Ecological Modeling (61 citations) and Molecular Biology (813 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 Kazuhiko Miyanaga. Their work appears in journals such as Agronomy, Frontiers in Plant Science, Fish & Shellfish Immunology, International Journal of Molecular Sciences and Journal of Proteome Research.

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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