Meng Lv

3.1k citations
103 papers · 1.8k · h-index 25

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • HER2/EGFR in Cancer Research 4
    • Colorectal Cancer Screening and Detection 4
    • Cancer Diagnosis and Treatment 4

Meng Lv

91 papers receiving 1.8k citations

Peers

Meng Lv
Comparison fields: 5 of 142
  • Biological Psychiatry 73
  • Cancer Research 369
  • Oncology 466
  • Pathology and Forensic Medicine 254
  • Molecular Biology 657
Replace Kai Zhao with:
Kai Zhao China
Qing Geng China
Björn L.D.M. Brücher Germany
Roberto González‐Amaro Mexico
Navneet Singh India
Bin Guan United States
Yuan Gao China
Jinhui Zhang China
Meng Lv relative to Kai Zhao China Kai Zhao's profile →
Citations per field
00.5×
Kai Zhao · 1×
Citations per year

Countries citing papers authored by Meng Lv

Since Specialization
Citations

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

Fields of papers citing papers by Meng Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017145
2 2017107
3 201798
4 201777
5 201475
6 201466
7 201758
8 201657
9 201553
10 202149
11 201744
12 201744
13 202140
14 202036
15 201634
16 201533
17 202032
18 202231
19 202031
20 202229

About Meng Lv

Meng Lv is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Pathology and Forensic Medicine, having authored 103 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (6 papers), Breast Cancer Treatment Studies (6 papers), Clinical practice guidelines implementation (5 papers), HER2/EGFR in Cancer Research (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Colorectal Cancer Screening and Detection (4 papers) and Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Biological Psychiatry (73 citations), Cancer Research (369 citations), Oncology (466 citations), Pathology and Forensic Medicine (254 citations) and Molecular Biology (657 citations). Meng Lv has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Jiao Yang, Yanwei Shen, Zheling Chen, Shuting Li, Qianbin Li, Gaoyun Hu, Pan Li, Yang Jin, Min Yi and Xiaojie Liu. Their work appears in journals such as Annals of Translational Medicine, OncoTargets and Therapy, Oncotarget, PLoS ONE and Annals of Palliative Medicine.

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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