Jun Gu

857 citations
22 papers · 680 · h-index 14

Impact in

  • Ecology top 10%
    • Microbial Community Ecology and Physiology
    • Coastal wetland ecosystem dynamics
    • Agronomic Practices and Intercropping Systems

Papers in

    • Genomics and Phylogenetic Studies 5
    • Angiogenesis and VEGF in Cancer 3
    • Microbial Community Ecology and Physiology 4
    • Coastal wetland ecosystem dynamics 3

Jun Gu

22 papers receiving 665 citations

Peers

Jun Gu
Comparison fields: 5 of 89
  • Ecology 220
  • Agronomy and Crop Science 82
  • Plant Science 253
  • Molecular Biology 310
  • Biotechnology 34
Replace Hassan Massalha with:
Hassan Massalha Israel
Klaus Kaluza Germany
Frank Larsen Norway
Umesh S. Muchhal United States
Manuel Gidekel Chile
Ning Shao China
Qiuming Yao United States
Airong Li China
Gaëlle Rolland France
Jun Gu relative to Hassan Massalha Israel Hassan Massalha's profile →
Citations per field
00.5×10×15×
Hassan Massalha · 1×
Citations per year

Countries citing papers authored by Jun Gu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200770
2 202266
3 200663
4 200862
5 200462
6 200851
7 200846
8 200738
9 200737
10 200934
11 200728
12 200626
13 202425
14 200818
15 200713
16 20229
17 20148
18 20207
19 20155
20 20055

About Jun Gu

Jun Gu is a scholar working on Molecular Biology, Ecology, Plant Science, Cancer Research and Pathology and Forensic Medicine, having authored 22 papers that have together received 680 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Legume Nitrogen Fixing Symbiosis (5 papers), Microbial Community Ecology and Physiology (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Coastal wetland ecosystem dynamics (3 papers), Plant Disease Resistance and Genetics (3 papers), Plant nutrient uptake and metabolism (2 papers) and Access Control and Trust (2 papers). The work is most often cited by research in Ecology (220 citations), Agronomy and Crop Science (82 citations), Plant Science (253 citations), Molecular Biology (310 citations) and Biotechnology (34 citations). Jun Gu has collaborated with scholars based in China, Mexico and Japan. Frequent co-authors include Junyun He, Xiao‐Lei Wu, W. F. Chen, E. T. Wang, Tian Xu Han, Chang Fu Tian, Ling Juan Wu, Shiyong Chen, Bin Guo and Bin Yin. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Molecular Cancer Therapeutics, Aging, FEBS Letters and Journal of Biotechnology.

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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