Mengjie Li

4.6k citations
166 papers · 3.1k · 1 hit paper · h-index 30

Impact in

Papers in

Mengjie Li

147 papers receiving 3.0k citations

Mengjie Li's Hit Papers

Fusobacterium nucleatum reduces METTL3-mediated m6A modification and contributes to colorectal cancer metastasis 2022 · 175 citations
1750+1+2Years since publication50100150

Peers

Mengjie Li
Comparison fields: 5 of 143
  • Cancer Research 650
  • Molecular Medicine 117
  • Molecular Biology 1.6k
  • Biological Psychiatry 35
  • Oncology 331
Replace Mauro Sola‐Penna with:
Mauro Sola‐Penna Brazil
Xiao‐Kang Li Japan
Zongwei Li China
Yali Li China
Wan Yong Ho Malaysia
Wen‐Hsing Cheng United States
Massoud Saidijam Iran
Eun‐Hee Kim South Korea
Paola Stiuso Italy
Hee‐Jae Cha South Korea
Mengjie Li relative to Mauro Sola‐Penna Brazil Mauro Sola‐Penna's profile →
Citations per field
00.5×1.5×2.3×
Mauro Sola‐Penna · 1×
Citations per year

Countries citing papers authored by Mengjie Li

Since Specialization
Citations

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

Fields of papers citing papers by Mengjie Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018206
2
Fusobacterium nucleatum reduces METTL3-mediated m6A modification and contributes to colorectal cancer metastasis
Hit paper breakdown →
2022175
3 2018115
4 2010113
5 2016110
6 2019103
7 2015102
8 201890
9 201379
10 202176
11 201673
12 201365
13 201860
14 202153
15 202050
16 201948
17 201244
18 201643
19 201841
20 201739

About Mengjie Li

Mengjie Li is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 166 papers that have together received 3.1k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (11 papers), RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (7 papers), Nanoplatforms for cancer theranostics (7 papers), Cancer, Hypoxia, and Metabolism (6 papers), Photodynamic Therapy Research Studies (5 papers) and Esophageal Cancer Research and Treatment (5 papers). The work is most often cited by research in Cancer Research (650 citations), Molecular Medicine (117 citations), Molecular Biology (1.6k citations), Biological Psychiatry (35 citations) and Oncology (331 citations). Mengjie Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chenxia Hu, Linsheng Liu, Jian Shi, Jiye Aa, Tianhua Zhou, Wei Zhuo, Bei Cao, Guangji Wang, Tingting Guo and Sukyung Woo. Their work appears in journals such as PLoS ONE, Scientific Reports, Molecules, Occupational and Environmental Medicine and BMC Cancer.

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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