Mengmeng Guo

2.3k citations
76 papers · 1.6k indexed · h-index 26
Topics
MicroRNA in disease regulation (29 papers)Cancer-related molecular mechanisms research (18 papers)Circular RNAs in diseases (18 papers)
Journals
SHILAP Revista de lepidopterologíaThe Journal of ImmunologyHepatology

In The Last Decade

Mengmeng Guo

73 papers receiving 1.6k citations

Peers

Mengmeng Guo
Comparison fields: 5 of 104
  • Molecular Biology 1.0k
  • Cancer Research 636
  • Immunology 446
  • Epidemiology 181
  • Oncology 176
Replace Niall S. Kenneth with:
Niall S. Kenneth United Kingdom
Qiujing Yu China
Sandrine Marchetti France
Sha Tian United States
Qian Ma China
François Boudreau Canada
Emily Heikamp United States
Sho Morioka United States
Ya Zhou China
Shanshan Feng China
Mengmeng Guo relative to Niall S. Kenneth United Kingdom Niall S. Kenneth's profile →
Citations per field
00.5×3.7×
Niall S. Kenneth · 1×
Citations per year

Countries citing papers authored by Mengmeng Guo

Since Specialization
Citations

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

Fields of papers citing papers by Mengmeng Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengmeng Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Mengmeng Guo. A scholar is included among the top collaborators of Mengmeng Guo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mengmeng Guo. Mengmeng Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 9
5 15
6 4
7 6
8 22
9 6
10 7
11 41
12 12
13 27
14 8
15 30
16 26
17 48
18 9
19
[miR-126 knockdown enhances the activity of murine CD4+ T cells in vivo and promotes their differentiation into Th1 cells].
4
20 39

About Mengmeng Guo

Mengmeng Guo is a scholar working on Cancer Research, Biological Psychiatry and Immunology, having authored 76 papers that have together received 1.6k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (29 papers), Cancer-related molecular mechanisms research (18 papers) and Circular RNAs in diseases (18 papers). The work is most often cited by research in Cancer Research (636 citations), Immunology (446 citations) and Molecular Biology (1.0k citations). Mengmeng Guo has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Lin Xu, Ya Zhou, Juanjuan Zhao, Hairong Wang, Chao Chen, Haizhen Zhu, Chao Chen, Guangdi Li, Binbin Xue and Jia Li. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Hepatology.

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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