Meng Lü

27 papers receiving 340 citations

Peers

Meng Lü
Comparison fields: 5 of 71
  • Cardiology and Cardiovascular Medicine 97
  • Genetics 76
  • Cancer Research 26
  • Physiology 44
  • Immunology 29
Replace Maen D. Abou Ziki with:
Maen D. Abou Ziki United States
R. Graham Barr United States
Radosław Dębiec United Kingdom
Maki Kumada Japan
Maria Giovanna Scarale Italy
Itahisa Marcelino-Rodríguez Spain
Richard Mprah China
Marie Louise Ndzie Noah China
Nooshin Ghodsian Canada
S. Colette Belgium
Meng Lü relative to Maen D. Abou Ziki United States Maen D. Abou Ziki's profile →
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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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201652
2 201431
3 201327
4 201824
5 201723
6 202020
7 201820
8 201917
9 202117
10 202115
11 202113
12 201612
13 200612
14 202211
15 202410
16 20228
17
Oncolytic Virus as a Novel Modality for the Treatment of Prostate Cancer.
20227
18
Effects of velvet antler polypeptides on Alzheimer's disease cell model via miR-613 HDAC6 pathway.
20205
19 20205
20 20145

About Meng Lü

Meng Lü is a scholar working on Genetics, Physiology, Cardiology and Cardiovascular Medicine, Cancer Research and Molecular Biology, having authored 29 papers that have together received 351 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (5 papers), Genetic Associations and Epidemiology (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Virus-based gene therapy research (3 papers), MicroRNA in disease regulation (3 papers), Lipoproteins and Cardiovascular Health (2 papers), Cancer-related molecular mechanisms research (2 papers) and Research in Cotton Cultivation (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (97 citations), Genetics (76 citations), Cancer Research (26 citations), Physiology (44 citations) and Immunology (29 citations). Meng Lü has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Carlos Iribarren, Eric Jorgenson, Roberto Elosúa, Eduardo Salas, Carla Lluís-Ganella, Isaac Subirana, Jonathan G. Zaroff, Manuel E. Soto‐Martínez, Amit Prasad and Paul Stang. Their work appears in journals such as Journal of Allergy and Clinical Immunology, Journal of the American Heart Association, Pharmacoepidemiology and Drug Safety, Annals of Noninvasive Electrocardiology and The Journal of Clinical Endocrinology & Metabolism.

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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