Jun Meng

3.1k citations
97 papers · 2.3k indexed · h-index 28
    • Plant and Fungal Interactions Research 13
    • Plant Molecular Biology Research 27
    • Plant-Microbe Interactions and Immunity 17
    • Plant Disease Resistance and Genetics 13
    • Cancer-related molecular mechanisms research 24
  • Horticulture top 10%
    • Genomics and Phylogenetic Studies 14
    • Machine Learning in Bioinformatics 9
    • RNA and protein synthesis mechanisms 9

Jun Meng

89 papers receiving 2.3k citations

Peers

Jun Meng
Comparison fields: 5 of 117
  • Endocrinology 470
  • Plant Science 1.6k
  • Cancer Research 454
  • Horticulture 19
  • Molecular Biology 1.0k
Replace Yushi Luan with:
Yushi Luan China
Andreas Gisel Italy
Ann E. Loraine United States
Li Guo China
Kristof Engelen Belgium
Runxuan Zhang United Kingdom
Yan Ma China
Stephen Ficklin United States
Éric Rivals France
Jane M. Landolin United States
Jun Meng relative to Yushi Luan China Yushi Luan's profile →
Citations per field
00.5×1.5×
Yushi Luan · 1×
Citations per year

Countries citing papers authored by Jun Meng

Since Specialization
Citations

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

Fields of papers citing papers by Jun Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
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3 20247
4 20241
5 20245
6 20241
7 20240
8 20237
9 20232
10 20233
11 20238
12 202251
13 20218
14 202123
15 20215
16 20218
17 201776
18 201632
19 201428
20 200532

About Jun Meng

Jun Meng is a scholar working on Endocrinology, Cancer Research, Equine, Plant Science and Molecular Biology, having authored 97 papers that have together received 2.3k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (27 papers), Cancer-related molecular mechanisms research (24 papers), Plant-Microbe Interactions and Immunity (17 papers), Genomics and Phylogenetic Studies (14 papers), Plant and Fungal Interactions Research (13 papers), Plant Disease Resistance and Genetics (13 papers), Machine Learning in Bioinformatics (9 papers) and RNA and protein synthesis mechanisms (9 papers). The work is most often cited by research in Endocrinology (470 citations), Plant Science (1.6k citations), Cancer Research (454 citations), Horticulture (19 citations) and Molecular Biology (1.0k citations). Jun Meng has collaborated with scholars based in China, United States and Kenya. Frequent co-authors include Yushi Luan, Jun Cui, Ning Jiang, Xinxin Hou, Xiaoxu Zhou, Guanglei Yang, Ning Jiang, Weiwei Liu, Qiang Kang and Yuhui Hong. Their work appears in journals such as Gene, BMC Bioinformatics, Phytopathology, The Plant Journal and Scientific Reports.

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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