Patrick Lagüe

59 papers receiving 1.2k citations

Peers

Patrick Lagüe
Comparison fields: 5 of 105
  • Molecular Biology 810
  • Microbiology 71
  • Aging 17
  • Molecular Medicine 41
  • Cell Biology 122
Replace M. Cristina Vega with:
M. Cristina Vega Spain
Ewen Lescop France
Nicolas Leulliot France
Iban Ubarretxena‐Belandia United States
Carlos A. Castañeda United States
Timothy M. Allison United Kingdom
Takeshi Yokoyama Japan
Steven M. Johnson United States
Evelyne Deplazes Australia
Oliver Ohlenschläger Germany
Patrick Lagüe relative to M. Cristina Vega Spain M. Cristina Vega's profile →
Citations per field
00.5×4.3×
M. Cristina Vega · 1×
Citations per year

Countries citing papers authored by Patrick Lagüe

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Lagüe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Patrick Lagüe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patrick Lagüe Line = papers co-authored together Patrick Lagüe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200384
2 200579
3 200175
4 201662
5 201860
6 200042
7 201535
8 201031
9 201229
10 200829
11 201328
12 200827
13 201626
14 199926
15 201425
16 200924
17 201023
18 201823
19 201121
20 201620

About Patrick Lagüe

Patrick Lagüe is a scholar working on Microbiology, Endocrinology, Molecular Biology, Toxicology and Cell Biology, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (14 papers), Lipid Membrane Structure and Behavior (11 papers), Hemoglobin structure and function (7 papers), Estrogen and related hormone effects (6 papers), Antimicrobial Peptides and Activities (6 papers), RNA and protein synthesis mechanisms (6 papers), Aquaculture disease management and microbiota (5 papers) and Chemical Synthesis and Analysis (4 papers). The work is most often cited by research in Molecular Biology (810 citations), Microbiology (71 citations), Aging (17 citations), Molecular Medicine (41 citations) and Cell Biology (122 citations). Patrick Lagüe has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Benoı̂t Roux, Xavier Barbeau, Richard W. Pastor, Martin J. Zuckermann, Michel Guertin, Bernard R. Brooks, Olivier Fisette, Stéphane M. Gagné, Sébastien Légaré and Sébastien Morin. Their work appears in journals such as Biophysical Journal, Journal of Biological Chemistry, Biochemistry, Proteins Structure Function and Bioinformatics and The Journal of Physical Chemistry B.

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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