Florence Leroux

39 papers receiving 882 citations

Peers

Florence Leroux
Comparison fields: 5 of 88
  • Infectious Diseases 263
  • Molecular Medicine 50
  • Computational Theory and Mathematics 162
  • Molecular Biology 493
  • Organic Chemistry 201
Replace Luís Fernando Saraiva Macedo Timmers with:
Luís Fernando Saraiva Macedo Timmers Brazil
Fabio Zuccotto United Kingdom
Arnaud Marchand Belgium
Shalini Saxena India
Timothy E. Benson United States
George A. Garcia United States
Claudia Jessen‐Trefzer Germany
Ramachandran Vijayan India
Matthieu Desroses Sweden
Simon A. Osborne United Kingdom
Florence Leroux relative to Luís Fernando Saraiva Macedo Timmers Brazil Luís Fernando Saraiva Macedo Timmers's profile →
Citations per field
00.5×1.5×2.3×
Luís Fernando Saraiva Macedo Timmers · 1×
Citations per year

Countries citing papers authored by Florence Leroux

Since Specialization
Citations

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

Fields of papers citing papers by Florence Leroux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Florence Leroux, 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 Florence Leroux Line = papers co-authored together Florence Leroux links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009138
2 201098
3 201171
4 201459
5 201753
6 201751
7 201149
8 201237
9 201237
10 202131
11 201424
12 201020
13 201118
14 201316
15 202215
16 202315
17 201415
18 202015
19 201914
20 201914

About Florence Leroux

Florence Leroux is a scholar working on Molecular Biology, Infectious Diseases, Organic Chemistry, Computational Theory and Mathematics and Pharmacology, having authored 42 papers that have together received 895 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Tuberculosis Research and Epidemiology (8 papers), Cancer therapeutics and mechanisms (8 papers), Biochemical and Molecular Research (7 papers), Chemical Synthesis and Analysis (6 papers), Peptidase Inhibition and Analysis (5 papers), Neuropeptides and Animal Physiology (5 papers) and Click Chemistry and Applications (4 papers). The work is most often cited by research in Infectious Diseases (263 citations), Molecular Medicine (50 citations), Computational Theory and Mathematics (162 citations), Molecular Biology (493 citations) and Organic Chemistry (201 citations). Florence Leroux has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Benoît Déprez, Rebecca Deprez‐Poulain, Catherine Piveteau, Nicolas Willand, Alain R. Baulard, Marion Flipo, Olivier Spérandio, Bruno O. Villoutreix, Vincent Villeret and Julie Charton. Their work appears in journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, SLAS DISCOVERY, Current Protocols in Cell Biology and MedChemComm.

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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