David Lafont

20 total papers · 1.7k total citations
5 papers, 104 citations indexed

About

David Lafont is a scholar working on Molecular Biology, Neurology and Surgery. According to data from OpenAlex, David Lafont has authored 5 papers receiving a total of 104 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Neurology and 1 paper in Surgery. Recurrent topics in David Lafont's work include Protein Tyrosine Phosphatases (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Endoplasmic Reticulum Stress and Disease (1 paper). David Lafont is often cited by papers focused on Protein Tyrosine Phosphatases (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Endoplasmic Reticulum Stress and Disease (1 paper). David Lafont collaborates with scholars based in United Kingdom, United States and Switzerland. David Lafont's co-authors include Paola Zaratin, Béatrice Gréco, Tiziana Adage, Hayley Protheroe, Edward J. Ryder, Kifayathullah Liakath‐Ali, Valerie E. Vancollie, Christopher J. Lelliott, Diane Gleeson and Angela Green and has published in prestigious journals such as American Journal Of Pathology, Journal of Bone and Mineral Research and The Journal of Pathology.

In The Last Decade

David Lafont

5 papers receiving 104 citations

Author Peers

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

Author Last Decade Papers Cites
David Lafont 65 23 22 17 15 5 104
Mariet W. Elting 43 0.7× 10 0.4× 11 0.5× 26 1.5× 3 0.2× 3 93
Adel Qalieh 82 1.3× 8 0.3× 19 0.9× 14 0.8× 6 132
Khai M. Nguyen 77 1.2× 31 1.3× 11 0.5× 11 0.6× 4 127
Brittney Wick 52 0.8× 9 0.4× 8 0.4× 10 0.6× 5 95
Spencer Goodman 61 0.9× 10 0.4× 15 0.7× 7 0.4× 1 0.1× 7 105
Theodore Georgomanolis 184 2.8× 41 1.8× 9 0.4× 33 1.9× 8 247
Ahsen Chaudhry 148 2.3× 12 0.5× 22 1.0× 13 0.8× 5 235
Alexander P. Runko 195 3.0× 19 0.8× 36 1.6× 24 1.4× 2 0.1× 8 254
Xavier Zanlonghi 243 3.7× 38 1.7× 17 0.8× 17 1.0× 3 0.2× 9 259
Lori E Corbani 153 2.4× 19 0.8× 14 0.6× 40 2.4× 1 0.1× 3 215

Countries citing papers authored by David Lafont

Since Specialization
Citations

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

Fields of papers citing papers by David Lafont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Lafont

This figure shows the co-authorship network connecting the top 25 collaborators of David Lafont. A scholar is included among the top collaborators of David 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 David Lafont. David 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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