Fabrice Le Gall

23 total papers · 1.3k total citations
20 papers, 995 citations indexed

About

Fabrice Le Gall is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology. According to data from OpenAlex, Fabrice Le Gall has authored 20 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in Fabrice Le Gall's work include Monoclonal and Polyclonal Antibodies Research (15 papers), Glycosylation and Glycoproteins Research (6 papers) and Transgenic Plants and Applications (5 papers). Fabrice Le Gall is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (15 papers), Glycosylation and Glycoproteins Research (6 papers) and Transgenic Plants and Applications (5 papers). Fabrice Le Gall collaborates with scholars based in Germany, France and United States. Fabrice Le Gall's co-authors include Sergey M. Kipriyanov, Melvyn Little, Gerhard Moldenhauer, Uwe Reusch, Stefan Knackmuss, Ivica Fucek, Eugene A. Zhukovsky, J.M. Bové, M. Garnier and Melvyn Little and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Immunology and Journal of Molecular Biology.

In The Last Decade

Fabrice Le Gall

20 papers receiving 905 citations

Author Peers

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

Author Last Decade Papers Cites
Fabrice Le Gall 645 494 356 354 96 20 995
Gerd Ritter 443 0.7× 429 0.9× 302 0.8× 269 0.8× 52 0.5× 15 948
Irene Leung 617 1.0× 623 1.3× 439 1.2× 253 0.7× 61 0.6× 30 1.2k
Philip D. Noguchi 319 0.5× 488 1.0× 460 1.3× 302 0.9× 55 0.6× 32 1.2k
Sheng‐Jiun Wu 442 0.7× 729 1.5× 314 0.9× 204 0.6× 28 0.3× 31 1.1k
Lena Danielsson 763 1.2× 684 1.4× 407 1.1× 127 0.4× 59 0.6× 28 1.1k
Steven L. Giardina 207 0.3× 369 0.7× 372 1.0× 182 0.5× 144 1.5× 16 811
Gabriele Pecher 316 0.5× 590 1.2× 807 2.3× 553 1.6× 62 0.6× 45 1.2k
C S Woodhouse 582 0.9× 391 0.8× 391 1.1× 342 1.0× 57 0.6× 23 1.0k
Kine Marita Knudsen Sand 507 0.8× 553 1.1× 274 0.8× 132 0.4× 40 0.4× 17 1.1k
Ruth M. Merwin 270 0.4× 433 0.9× 523 1.5× 219 0.6× 35 0.4× 21 1.1k

Countries citing papers authored by Fabrice Le Gall

Since Specialization
Citations

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

Fields of papers citing papers by Fabrice Le Gall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabrice Le Gall. 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 Fabrice Le Gall. The network helps show where Fabrice Le Gall may publish in the future.

Co-authorship network of co-authors of Fabrice Le Gall

This figure shows the co-authorship network connecting the top 25 collaborators of Fabrice Le Gall. A scholar is included among the top collaborators of Fabrice Le Gall 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 Fabrice Le Gall. Fabrice Le Gall 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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