F. Lambert

1.1k citations
43 papers · 914 · h-index 19

Impact in

Papers in

F. Lambert

40 papers receiving 866 citations

Peers

F. Lambert
Comparison fields: 5 of 86
  • Cardiology and Cardiovascular Medicine 308
  • Hematology 101
  • Molecular Biology 494
  • Sensory Systems 27
  • Physiology 134
Replace Karen G. Green with:
Karen G. Green United States
Maki Takahashi Japan
Katherine B. Pryzwansky United States
Yukihiko Hirai Japan
David P. Sullivan United States
Nathalie Geurts Belgium
Austin R. Hockaday United Kingdom
Samudra S. Gangopadhyay United States
Mark R. Tanner United States
Tatyana Prokhorova Denmark
F. Lambert relative to Karen G. Green United States Karen G. Green's profile →
Citations per field
00.5×
Karen G. Green · 1×
Citations per year

Countries citing papers authored by F. Lambert

Since Specialization
Citations

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

Fields of papers citing papers by F. Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991165
2
Distribution of H type 1 and H type 2 antigenic determinants in human sera and saliva.
198262
3 198657
4 199954
5 199353
6 199732
7 200831
8 199830
9 197729
10 198328
11 200228
12 199328
13
H-deficient blood groups of Reunion island. II. Differences between Indians (Bombay Phenotype) and whites (Reunion phenotype).
198325
14 199924
15 199723
16 197223
17 200021
18 199021
19 199318
20 199218

About F. Lambert

F. Lambert is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Hematology, Immunology and Physiology, having authored 43 papers that have together received 914 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (14 papers), Muscle Physiology and Disorders (7 papers), Blood groups and transfusion (6 papers), Cardiovascular Function and Risk Factors (5 papers), Cardiovascular Effects of Exercise (4 papers), Glycosylation and Glycoproteins Research (4 papers), Vitamin C and Antioxidants Research (3 papers) and Muscle activation and electromyography studies (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (308 citations), Hematology (101 citations), Molecular Biology (494 citations), Sensory Systems (27 citations) and Physiology (134 citations). F. Lambert has collaborated with scholars based in France, Canada and Sweden. Frequent co-authors include Anne‐Marie Lompré, Yves Lecarpentier, Edward G. Lakatta, K Schwartz, Catherine Coirault, D. S. Chemla, Jacques Le Pendu, Rafaël Oriol, R. U. Lemieux and A. M. Dalix. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Vox Sanguinis, Journal of Pharmacology and Experimental Therapeutics, Circulation Research and Cellular Immunology.

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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