Maurice Langlois

14 total papers · 1.2k total citations
10 papers, 894 citations indexed

About

Maurice Langlois is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Physiology. According to data from OpenAlex, Maurice Langlois has authored 10 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Surgery and 4 papers in Physiology. Recurrent topics in Maurice Langlois's work include Diabetes Management and Research (5 papers), Pancreatic function and diabetes (5 papers) and Diet and metabolism studies (4 papers). Maurice Langlois is often cited by papers focused on Diabetes Management and Research (5 papers), Pancreatic function and diabetes (5 papers) and Diet and metabolism studies (4 papers). Maurice Langlois collaborates with scholars based in United States, France and Vietnam. Maurice Langlois's co-authors include Claudio Noacco, John E. Gerich, Peter H. Forsham, John H. Karam, Victor Schneider, Stephen E. Dippe, Mara Lorenzi, J H Karam, Aurore Perrin and V. Amice and has published in prestigious journals such as Science, The Lancet and Journal of Clinical Investigation.

In The Last Decade

Maurice Langlois

10 papers receiving 797 citations

Hit Papers

Lack of Glucagon Response... 1973 2026 1990 2008 1973 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Maurice Langlois 684 548 274 168 153 10 894
F. Modarelli 792 1.2× 478 0.9× 397 1.4× 139 0.8× 96 0.6× 14 939
J. Lomas 688 1.0× 331 0.6× 359 1.3× 164 1.0× 104 0.7× 14 1.0k
M. G. Cartechini 704 1.0× 396 0.7× 291 1.1× 124 0.7× 134 0.9× 16 857
Bjoern A. Menge 505 0.7× 489 0.9× 223 0.8× 132 0.8× 227 1.5× 15 815
P. Compagnucci 707 1.0× 408 0.7× 283 1.0× 140 0.8× 153 1.0× 28 915
L. Epifano 826 1.2× 497 0.9× 399 1.5× 166 1.0× 108 0.7× 15 996
M. M. Ventura 671 1.0× 323 0.6× 181 0.7× 367 2.2× 238 1.6× 16 1.0k
Elena Breda 518 0.8× 391 0.7× 199 0.7× 215 1.3× 258 1.7× 7 842
Malene Hollingdal 500 0.7× 412 0.8× 116 0.4× 69 0.4× 293 1.9× 22 754
A. M. Rambotti 682 1.0× 354 0.6× 262 1.0× 118 0.7× 106 0.7× 13 853

Countries citing papers authored by Maurice Langlois

Since Specialization
Citations

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

Fields of papers citing papers by Maurice Langlois

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maurice Langlois

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