Philippe Ledent

32 papers receiving 1.1k citations

Peers

Philippe Ledent
Comparison fields: 5 of 88
  • Molecular Medicine 611
  • Clinical Biochemistry 78
  • Biotechnology 58
  • Cancer Research 84
  • Endocrinology 17
Replace Michio Matsuhashi with:
Michio Matsuhashi Japan
Beth A. Rasmussen United States
Ning G. Pon United States
Serge Pares France
Eric J. Drake United States
Christopher A. Makaroff United States
Jane E. Jackman United States
Claude G. Lerner United States
Emmanuelle Schmitt France
Penny J. Beuning United States
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Citations per field
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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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993182
2 1991158
3 1991121
4 200495
5 199787
6 199385
7 200181
8 199661
9 199758
10 199735
11 199533
12 199031
13 200031
14 199526
15 201821
16 199319
17 198612
18 199612
19 20199
20
Modelling of Accessibility Fields
19957

About Philippe Ledent

Philippe Ledent is a scholar working on Molecular Medicine, Pollution, Biotechnology, General Economics, Econometrics and Finance and Process Chemistry and Technology, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (11 papers), Wastewater Treatment and Nitrogen Removal (5 papers), Monetary Policy and Economic Impact (4 papers), Enzyme Production and Characterization (4 papers), Global Financial Crisis and Policies (3 papers), Adaptive optics and wavefront sensing (2 papers), Bacterial Identification and Susceptibility Testing (2 papers) and Odor and Emission Control Technologies (2 papers). The work is most often cited by research in Molecular Medicine (611 citations), Clinical Biochemistry (78 citations), Biotechnology (58 citations), Cancer Research (84 citations) and Endocrinology (17 citations). Philippe Ledent has collaborated with scholars based in Belgium, Italy and United States. Frequent co-authors include Jean‐Marie Frère, Bernard Joris, Josette Lamotte‐Brasseur, Jean‐Marie Delaissé, Gilbert Vaes, Marc Vanhove, Jean‐Marie Ghuysen, Antonio Felici, Xavier Raquet and E. Fonzé. Their work appears in journals such as Biochemical Journal, Antimicrobial Agents and Chemotherapy, Applied Microbiology and Biotechnology, Proteins Structure Function and Bioinformatics and Rapid Communications in Mass Spectrometry.

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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