Gerald Larrouy‐Maumus
- Molecular Biology top 10%
- Epidemiology top 5%
- Infectious Diseases top 2%
- Molecular Medicine top 0.5%
- Clinical Biochemistry top 1%
- Co-authors
- Luiz Pedro S. de CarvalhoGermain PuzoR. Christopher D. FurnissDespoina A. I. MavridouMary JacksonAlain FillouxLaurent DortetGareth A. Prosser
- Topics
- Mycobacterium research and diagnosis (30 papers)Antibiotic Resistance in Bacteria (30 papers)Tuberculosis Research and Epidemiology (28 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Gerald Larrouy‐Maumus
84 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 1.2k
- Epidemiology 680
- Infectious Diseases 677
- Molecular Medicine 637
- Clinical Biochemistry 279
Countries citing papers authored by Gerald Larrouy‐Maumus
This map shows the geographic impact of Gerald Larrouy‐Maumus'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 Gerald Larrouy‐Maumus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Larrouy‐Maumus more than expected).
Fields of papers citing papers by Gerald Larrouy‐Maumus
This network shows the impact of papers produced by Gerald Larrouy‐Maumus. 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 Gerald Larrouy‐Maumus. The network helps show where Gerald Larrouy‐Maumus may publish in the future.
Co-authorship network of co-authors of Gerald Larrouy‐Maumus
This figure shows the co-authorship network connecting the top 25 collaborators of Gerald Larrouy‐Maumus. A scholar is included among the top collaborators of Gerald Larrouy‐Maumus 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 Gerald Larrouy‐Maumus. Gerald Larrouy‐Maumus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 5 | |
| 8 | 15 | |
| 9 | 28 | |
| 10 | 85 | |
| 11 | Colistin kills bacteria by targeting lipopolysaccharide in the cytoplasmic membranebreakdown → | 254 |
| 12 | 27 | |
| 13 | 62 | |
| 14 | 36 | |
| 15 | 84 | |
| 16 | 38 | |
| 17 | 27 | |
| 18 | 44 | |
| 19 | 59 | |
| 20 | 13 |
About Gerald Larrouy‐Maumus
Gerald Larrouy‐Maumus is a scholar working on Molecular Medicine, Clinical Biochemistry and Endocrinology, having authored 87 papers that have together received 2.4k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (30 papers), Antibiotic Resistance in Bacteria (30 papers) and Tuberculosis Research and Epidemiology (28 papers). The work is most often cited by research in Molecular Medicine (637 citations), Endocrinology (276 citations) and Clinical Biochemistry (279 citations). Gerald Larrouy‐Maumus has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Luiz Pedro S. de Carvalho, Germain Puzo, R. Christopher D. Furniss, Despoina A. I. Mavridou, Mary Jackson, Alain Filloux, Laurent Dortet, Gareth A. Prosser, Jérôme Nigou and Akshay Sabnis. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.