N. D. Lafont

18 total papers · 532 total citations
11 papers, 386 citations indexed

About

N. D. Lafont is a scholar working on Surgery, Anesthesiology and Pain Medicine and Pharmaceutical Science. According to data from OpenAlex, N. D. Lafont has authored 11 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 4 papers in Anesthesiology and Pain Medicine and 3 papers in Pharmaceutical Science. Recurrent topics in N. D. Lafont's work include Anesthesia and Pain Management (8 papers), Pain Management and Opioid Use (3 papers) and Advanced Drug Delivery Systems (3 papers). N. D. Lafont is often cited by papers focused on Anesthesia and Pain Management (8 papers), Pain Management and Opioid Use (3 papers) and Advanced Drug Delivery Systems (3 papers). N. D. Lafont collaborates with scholars based in Belgium and France. N. D. Lafont's co-authors include Jean G. Boogaerts, F. Legros, Hassan Benameur, Patrick Raynal, Haoming Luo, G. Goffinet, Eric A. Noel and Patrice Bourgeois and has published in prestigious journals such as Anesthesiology, Anesthesia & Analgesia and British Journal of Anaesthesia.

In The Last Decade

N. D. Lafont

11 papers receiving 373 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
N. D. Lafont 315 90 85 56 49 11 386
Olivier Cuignet 195 0.6× 102 1.1× 12 0.1× 19 0.3× 43 0.9× 10 343
Andrew A. Chiu 332 1.1× 162 1.8× 5 0.1× 41 0.7× 44 0.9× 9 370
R. Kozody 367 1.2× 123 1.4× 5 0.1× 33 0.6× 71 1.4× 17 409
M. Elhakim 337 1.1× 222 2.5× 3 0.0× 37 0.7× 55 1.1× 17 417
Xavier Culebras 370 1.2× 221 2.5× 3 0.0× 30 0.5× 42 0.9× 9 410
L. Mercadal 265 0.8× 139 1.5× 4 0.0× 11 0.2× 27 0.6× 14 352
Charles I. Yang 242 0.8× 65 0.7× 2 0.0× 19 0.3× 29 0.6× 13 341
K. R. Grosslight 164 0.5× 177 2.0× 2 0.0× 49 0.9× 31 0.6× 8 338
L.R. McNicol 239 0.8× 222 2.5× 3 0.0× 15 0.3× 24 0.5× 17 445
Bruce Ben-David 370 1.2× 160 1.8× 3 0.0× 8 0.1× 19 0.4× 6 391

Countries citing papers authored by N. D. Lafont

Since Specialization
Citations

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

Fields of papers citing papers by N. D. Lafont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. D. Lafont. 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 N. D. Lafont. The network helps show where N. D. Lafont may publish in the future.

Co-authorship network of co-authors of N. D. Lafont

This figure shows the co-authorship network connecting the top 25 collaborators of N. D. Lafont. A scholar is included among the top collaborators of N. D. Lafont based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with N. D. Lafont. N. D. Lafont is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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