Florence Leroux

1.7k citations
42 papers · 876 · h-index 15

Impact in

Papers in

    • Cancer therapeutics and mechanisms 8
    • Biochemical and Molecular Research 7
    • Chemical Synthesis and Analysis 6
    • Tuberculosis Research and Epidemiology 8

Florence Leroux

39 papers receiving 861 citations

Peers

Florence Leroux
Comparison fields: 5 of 88
  • Infectious Diseases 263
  • Computational Theory and Mathematics 167
  • Molecular Medicine 49
  • Molecular Biology 502
  • Organic Chemistry 200
Replace Luís Fernando Saraiva Macedo Timmers with:
Luís Fernando Saraiva Macedo Timmers Brazil
Fabio Zuccotto United Kingdom
Shalini Saxena India
George A. Garcia United States
Simon A. Osborne United Kingdom
Rafael Andrade Caceres Brazil
Claudia Jessen‐Trefzer Germany
Sachin Surade United Kingdom
Ashutosh Kumar India
Michael H. Serrano‐Wu United States
Florence Leroux relative to Luís Fernando Saraiva Macedo Timmers Brazil Luís Fernando Saraiva Macedo Timmers's profile →
Citations per field
00.5×1.5×2.2×
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 201170
4 201459
5 201752
6 201149
7 201749
8 201237
9 201237
10 202130
11 201424
12 201020
13 201118
14 201316
15 201415
16 201914
17 202214
18 202014
19 201913
20 202312

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 876 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Cancer therapeutics and mechanisms (8 papers), Tuberculosis Research and Epidemiology (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), Computational Theory and Mathematics (167 citations), Molecular Medicine (49 citations), Molecular Biology (502 citations) and Organic Chemistry (200 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, Olivier Spérandio, Marion Flipo, Julie Charton, Bruno O. Villoutreix and Vincent Villeret. Their work appears in journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, SLAS DISCOVERY, Nature Medicine and EMBO Molecular Medicine.

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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