Guy Leclercq

221 papers receiving 7.2k citations

Guy Leclercq's Hit Papers

Relevance of Breast Cancer Cell Lines as Models for Breast Tumours: An Update 2004 · 642 citations
6420+7+14Years since publication200400600

Peers

Guy Leclercq
Comparison fields: 5 of 139
  • Genetics 3.0k
  • Toxicology 307
  • Oncology 2.2k
  • Cancer Research 863
  • Organic Chemistry 1.7k
Replace Antimo Migliaccio with:
Antimo Migliaccio Italy
Gabriella Castoria Italy
Rosamaria Lappano Italy
Filippo Minutolo Italy
Masanori Kitamura Japan
Yves Gareau Canada
Billy W. Day United States
Bernd Epe Germany
Camillo Rosano Italy
Peter Störz United States
Guy Leclercq relative to Antimo Migliaccio Italy Antimo Migliaccio's profile →
Citations per field
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Antimo Migliaccio · 1×
Citations per year

Countries citing papers authored by Guy Leclercq

Since Specialization
Citations

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

Fields of papers citing papers by Guy Leclercq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 229 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Relevance of Breast Cancer Cell Lines as Models for Breast Tumours: An Update
Hit paper breakdown →
2004642
2 2003368
3 2006308
4 2004239
5 2001238
6 1986226
7
[Evaluation of the calcium content of diet by frequential self-questionnaire].
1991162
8 1999122
9 2004120
10 2004117
11 1977117
12 2006115
13 1994111
14 2002104
15 2000102
16 1975102
17 2012101
18 198097
19 199996
20 198995

About Guy Leclercq

Guy Leclercq is a scholar working on Genetics, Molecular Biology, Oncology, Organic Chemistry and Computational Theory and Mathematics, having authored 229 papers that have together received 7.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (170 papers), Computational Drug Discovery Methods (28 papers), Retinoids in leukemia and cellular processes (24 papers), Bioactive Compounds and Antitumor Agents (17 papers), Receptor Mechanisms and Signaling (15 papers), HER2/EGFR in Cancer Research (14 papers), Effects and risks of endocrine disrupting chemicals (13 papers) and Cancer Cells and Metastasis (12 papers). The work is most often cited by research in Genetics (3.0k citations), Toxicology (307 citations), Oncology (2.2k citations), Cancer Research (863 citations) and Organic Chemistry (1.7k citations). Guy Leclercq has collaborated with scholars based in Belgium, France and United Kingdom. Frequent co-authors include Marc Lacroix, Jean-Claude Heuson, Anne Vessières, Gérard Jaouen, Siden Top, Robert‐Alain Toillon, Yves Jacquot, Ioanna Laı̈os, Nicole Legros and Abdelhamid El Khissiin. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, Journal of Medicinal Chemistry, Biochemical Pharmacology, Breast Cancer Research and Treatment and International Journal of Cancer.

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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