Gilbert Lanéelle

61 total papers · 2.1k total citations
58 papers, 1.7k citations indexed

About

Gilbert Lanéelle is a scholar working on Molecular Biology, Epidemiology and Organic Chemistry. According to data from OpenAlex, Gilbert Lanéelle has authored 58 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 25 papers in Epidemiology and 17 papers in Organic Chemistry. Recurrent topics in Gilbert Lanéelle's work include Mycobacterium research and diagnosis (21 papers), Carbohydrate Chemistry and Synthesis (13 papers) and Glycosylation and Glycoproteins Research (12 papers). Gilbert Lanéelle is often cited by papers focused on Mycobacterium research and diagnosis (21 papers), Carbohydrate Chemistry and Synthesis (13 papers) and Glycosylation and Glycoproteins Research (12 papers). Gilbert Lanéelle collaborates with scholars based in France, Morocco and Germany. Gilbert Lanéelle's co-authors include C Lacave, Annaı̈k Quémard, Marie‐Antoinette Lanéelle, Mamadou Daffé, J. Asselineau, Hédia Marrakchi, Jean‐François Tocanne, M. A. Lanéelle, Marie‐Claude Trombe and Michèle Welby and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Analytical Biochemistry.

In The Last Decade

Gilbert Lanéelle

58 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Gilbert Lanéelle 858 857 768 403 157 58 1.7k
Héctor R. Morbidoni 765 0.9× 965 1.1× 1.1k 1.4× 410 1.0× 202 1.3× 44 2.0k
Mamadou Daffé 777 0.9× 631 0.7× 763 1.0× 182 0.5× 135 0.9× 43 1.4k
William W. Barrow 751 0.9× 598 0.7× 654 0.9× 506 1.3× 93 0.6× 70 1.6k
Anne Lemassu 997 1.2× 756 0.9× 950 1.2× 256 0.6× 159 1.0× 41 1.9k
Anna M. Upton 689 0.8× 1.2k 1.4× 1.2k 1.5× 332 0.8× 206 1.3× 41 2.0k
Jana Korduláková 936 1.1× 1.4k 1.6× 1.2k 1.6× 714 1.8× 183 1.2× 55 2.4k
T. R. Garbe 935 1.1× 787 0.9× 1.1k 1.4× 290 0.7× 194 1.2× 30 2.1k
Anthony D. Baughn 789 0.9× 998 1.2× 1.0k 1.3× 207 0.5× 235 1.5× 44 2.0k
Luke J. Alderwick 591 0.7× 1.3k 1.6× 712 0.9× 397 1.0× 174 1.1× 53 2.1k
Albertus Viljoen 1.3k 1.5× 662 0.8× 1.2k 1.5× 359 0.9× 187 1.2× 69 2.1k

Countries citing papers authored by Gilbert Lanéelle

Since Specialization
Citations

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

Fields of papers citing papers by Gilbert Lanéelle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gilbert Lanéelle

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