Jun Meng

2.2k citations
51 papers · 1.8k · h-index 18

Impact in

Papers in

    • Genomics and Phylogenetic Studies 7
    • RNA modifications and cancer 3
    • RNA Interference and Gene Delivery 2
    • Microbial Community Ecology and Physiology 10

Jun Meng

49 papers receiving 1.7k citations

Peers

Jun Meng
Comparison fields: 5 of 123
  • Environmental Chemistry 334
  • Ecology 794
  • Pharmacology 107
  • Molecular Biology 848
  • Oceanography 148
Replace Xiaomin Xia with:
Xiaomin Xia China
Abhay K. Singh India
Perry F. Churchill United States
Noha M. Mesbah Egypt
Corinne Cassier‐Chauvat France
Yingying Huang China
Yuan Huang China
Till Luckenbach Germany
Janet M. Benson United States
Susumu Ohara Japan
Jun Meng relative to Xiaomin Xia China Xiaomin Xia's profile →
Citations per field
00.5×1.7×
Xiaomin Xia · 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-authors

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

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012261
2 2009230
3 2013229
4 2010150
5 2009130
6 2011125
7 2014112
8 200848
9 201246
10 200944
11 201143
12 202138
13 200937
14 200834
15 200724
16 201021
17 202221
18 201218
19 202214
20 201010

About Jun Meng

Jun Meng is a scholar working on Molecular Biology, Ecology, Oncology, Immunology and Surgery, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (10 papers), Genomics and Phylogenetic Studies (7 papers), Cancer-related molecular mechanisms research (5 papers), Methane Hydrates and Related Phenomena (4 papers), CAR-T cell therapy research (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), RNA modifications and cancer (3 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Environmental Chemistry (334 citations), Ecology (794 citations), Pharmacology (107 citations), Molecular Biology (848 citations) and Oceanography (148 citations). Jun Meng has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Fengping Wang, Xiang Xiao, Zhaoyi Wang, Xintian Zhang, Yuming Guo, Dan Qin, Ying He, Jun Xu, Patricia L. Yager and Christa B. Smith. Their work appears in journals such as The ISME Journal, Journal of Molecular Cell Biology, Journal of Cellular and Molecular Medicine, Proceedings of the National Academy of Sciences and Saudi Journal of Biological Sciences.

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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