Philippe Ledent

28 papers receiving 1.1k citations

Peers

Philippe Ledent
Comparison fields: 5 of 115
  • Molecular Medicine 579
  • Endocrinology 160
  • Clinical Biochemistry 88
  • Pharmacology 198
  • Applied Microbiology and Biotechnology 19
Replace Govindan Rajamohan with:
Govindan Rajamohan India
Young Jun An South Korea
L. Moynié United Kingdom
Iain A. Murray United Kingdom
Alejandra Bernardini Spain
Christine Jacobs United States
Gabriel Moncalián Spain
Steve Grkovic Australia
Nicola Franceschini Italy
Toshio Fukasawa Japan
Philippe Ledent relative to Govindan Rajamohan India Govindan Rajamohan's profile →
Citations per field
00.5×3.3×
Govindan Rajamohan · 1×
Citations per year

Countries citing papers authored by Philippe Ledent

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Ledent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993175
2 1991144
3 1991110
4 199787
5 200485
6 199380
7 200179
8 199659
9 199757
10 199734
11 199532
12 200028
13 199525
14 199025
15 199318
16 199611
17
Modelling of Accessibility Fields
19959
18 20199
19 19985
20 19994

About Philippe Ledent

Philippe Ledent is a scholar working on Molecular Biology, Molecular Medicine, Endocrinology, Pharmacology and Materials Chemistry, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (12 papers), Bacterial biofilms and quorum sensing (4 papers), Vibrio bacteria research studies (4 papers), Enzyme Structure and Function (4 papers), Bacterial Genetics and Biotechnology (3 papers), Enzyme function and inhibition (3 papers), Microbial Natural Products and Biosynthesis (2 papers) and Spacecraft Design and Technology (2 papers). The work is most often cited by research in Molecular Medicine (579 citations), Endocrinology (160 citations), Clinical Biochemistry (88 citations), Pharmacology (198 citations) and Applied Microbiology and Biotechnology (19 citations). Philippe Ledent has collaborated with scholars based in Belgium, France and Italy. Frequent co-authors include Jean‐Marie Frère, Bernard Joris, Josette Lamotte‐Brasseur, Jean‐Marie Delaissé, Gilbert Vaes, Marc Vanhove, Antonio Felici, Jean‐Marie Ghuysen, Xavier Raquet and Roberto Ström. Their work appears in journals such as Biochemical Journal, Proteins Structure Function and Bioinformatics, Antimicrobial Agents and Chemotherapy, Applied Microbiology and Biotechnology and FEBS Letters.

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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