Meng Lü

29 papers receiving 300 citations

Peers

Meng Lü
Comparison fields: 5 of 69
  • Cardiology and Cardiovascular Medicine 88
  • Genetics 67
  • Cancer Research 26
  • Molecular Biology 75
  • Immunology 21
Replace Tim Christen with:
Tim Christen Netherlands
Maen D. Abou Ziki United States
Melanie Kolz Germany
Shihua Liao China
Hasanga D. Manikpurage Canada
Yaron Arbel Israel
Jackie Buck United States
Yoshinori Kakutani Japan
Genevieve M Leyden United Kingdom
Anna Szpakowicz Poland
Meng Lü relative to Tim Christen Netherlands Tim Christen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Meng Lü

Since Specialization
Citations

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

Fields of papers citing papers by Meng Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201642
2 201429
3 201326
4 201722
5 202020
6 201819
7 201917
8 202115
9 202114
10 201612
11 202111
12 200611
13 202210
14 20249
15 20227
16
Oncolytic Virus as a Novel Modality for the Treatment of Prostate Cancer.
20227
17 20205
18
Effects of velvet antler polypeptides on Alzheimer's disease cell model via miR-613 HDAC6 pathway.
20205
19 20145
20 20213

About Meng Lü

Meng Lü is a scholar working on Genetics, Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine and Surgery, having authored 31 papers that have together received 305 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (6 papers), Genetic Associations and Epidemiology (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), MicroRNA in disease regulation (3 papers), Virus-based gene therapy research (3 papers), Plant tissue culture and regeneration (2 papers), Research in Cotton Cultivation (2 papers) and Lipoproteins and Cardiovascular Health (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (88 citations), Genetics (67 citations), Cancer Research (26 citations), Molecular Biology (75 citations) and Immunology (21 citations). Meng Lü has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Carlos Iribarren, Alfred D. Round, Eric Jorgenson, Roberto Elosúa, Eduardo Salas, Jonathan G. Zaroff, Manuel E. Soto‐Martínez, Carla Lluís-Ganella, Isaac Subirana and Paul Stang. Their work appears in journals such as Annals of Noninvasive Electrocardiology, Journal of Allergy and Clinical Immunology, Pharmacoepidemiology and Drug Safety, Journal of the American Heart Association and Journal of Clinical 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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