Jun Lyu

1.4k citations
30 papers · 157 · h-index 8

Impact in

Papers in

    • Plant Physiology and Cultivation Studies 3
    • Chromosomal and Genetic Variations 3
    • Plant Virus Research Studies 3
    • CRISPR and Genetic Engineering 3
    • Insect Resistance and Genetics 2
    • Single-cell and spatial transcriptomics 2

Jun Lyu

25 papers receiving 156 citations

Peers

Jun Lyu
Comparison fields: 5 of 60
  • Immunology 40
  • Business and International Management 4
  • Plant Science 49
  • Insect Science 13
  • Molecular Biology 68
Replace Gaoyuan Sun with:
Gaoyuan Sun China
Mariana Esther Martínez-Sánchez Mexico
Bingchun Zhao China
Victoria Drosou Greece
Shuhua Fu United States
Dmitry B. Malko Russia
Qiao Wen Tan Singapore
Yu‐Hung Hung United States
Filip Kokáš Czechia
Junyan Feng China
Jun Lyu relative to Gaoyuan Sun China Gaoyuan Sun's profile →
Citations per field
00.5×1.5×
Gaoyuan Sun · 1×
Citations per year

Countries citing papers authored by Jun Lyu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Lyu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201725
2 201622
3 201722
4 202114
5 202414
6 202113
7 20179
8 20237
9 20196
10 20194
11 20203
12 20202
13 20202
14 20192
15 20162
16 20251
17 20231
18 20171
19 20231
20 20201

About Jun Lyu

Jun Lyu is a scholar working on Plant Science, Molecular Biology, Immunology, Cell Biology and Ecology, Evolution, Behavior and Systematics, having authored 30 papers that have together received 157 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Plant Physiology and Cultivation Studies (3 papers), T-cell and B-cell Immunology (3 papers), Chromosomal and Genetic Variations (3 papers), Plant Virus Research Studies (3 papers), CRISPR and Genetic Engineering (3 papers), Insect Resistance and Genetics (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Immunology (40 citations), Business and International Management (4 citations), Plant Science (49 citations), Insect Science (13 citations) and Molecular Biology (68 citations). Jun Lyu has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Linrong Lu, Mingzhu Zheng, Dan Li, Chongyi Chen, Jun Lou, Jingjing Liang, Lie Wang, Gang Chen, Runwei Li and Chenyang Wei. Their work appears in journals such as Nature Plants, Nature Communications, Cellular and Molecular Immunology, Oncotarget and Agricultural Systems.

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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