Vincent Lambert

35 papers receiving 2.6k citations

Vincent Lambert's Hit Papers

Laser-induced choroidal neovascularization model to study age-related macular degeneration in mice 2013 · 346 citations
3460+4+8Years since publication100200300400

Peers

Vincent Lambert
Comparison fields: 5 of 89
  • Ophthalmology 932
  • Cancer Research 486
  • Molecular Biology 845
  • Cardiology and Cardiovascular Medicine 204
  • Oncology 154
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Sara Rezzola Italy
Soumitro Pal United States
Yoshinobu Toda Japan
Hui Min Shi China
Sébastien P. Tabruyn Belgium
Mami Iwamoto United States
Ferenc G. Rick United States
Takatsune Shimizu Japan
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Citations per field
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Citations per year

Countries citing papers authored by Vincent Lambert

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MicroRNA-146a is a therapeutic target and biomarker for peripartum cardiomyopathy
Hit paper breakdown →
2013428
2
Laser-induced choroidal neovascularization model to study age-related macular degeneration in mice
Hit paper breakdown →
2013346
3 2003281
4 2010225
5 2011219
6 2003163
7 2002108
8 2003107
9 200189
10 201287
11 201065
12 201356
13 200346
14 199644
15 200340
16 200740
17 200736
18 201031
19 201031
20 201426

About Vincent Lambert

Vincent Lambert is a scholar working on Ophthalmology, Cancer Research, Molecular Biology, Oncology and Pharmacology, having authored 36 papers that have together received 2.6k indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (14 papers), Angiogenesis and VEGF in Cancer (6 papers), Protease and Inhibitor Mechanisms (4 papers), Lymphatic System and Diseases (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Cardiovascular Issues in Pregnancy (1 paper) and Public Relations and Crisis Communication (1 paper). The work is most often cited by research in Ophthalmology (932 citations), Cancer Research (486 citations), Molecular Biology (845 citations), Cardiology and Cardiovascular Medicine (204 citations) and Oncology (154 citations). Vincent Lambert has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Agnès Noël, Jean‐Marie Rakic, Carine Munaut, Ingrid Struman, Jean‐Michel Foidart, Maria-Luz Alvarez Gonzalez, Peter Carmeliet, Maud Jost, JOSEPH A. MARTIAL and Ludovic Malvaux. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Cellular and Molecular Life Sciences, Blood, The FASEB Journal and American Journal Of Pathology.

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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