C. Ledent

877 citations
23 papers · 770 · h-index 9

Impact in

Papers in

C. Ledent

22 papers receiving 726 citations

Peers

C. Ledent
Comparison fields: 5 of 73
  • Physiology 104
  • Endocrinology, Diabetes and Metabolism 349
  • Cellular and Molecular Neuroscience 155
  • Immunology and Allergy 39
  • Oncology 159
Replace M. El‐Etr with:
M. El‐Etr France
Jongrye Jeon United States
Sandra Mammarella Italy
Matthew D. Warren United States
Corinne Haller Switzerland
François Wuarin Switzerland
Oualid Sbai France
Iris Fuchs Germany
Aya Kitamoto Japan
Hooshang Lahooti Australia
C. Ledent relative to M. El‐Etr France M. El‐Etr's profile →
Citations per field
00.5×5×10×13×
M. El‐Etr · 1×
Citations per year

Countries citing papers authored by C. Ledent

Since Specialization
Citations

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

Fields of papers citing papers by C. Ledent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996262
2 2000174
3 1992148
4 199037
5 200028
6 200325
7 200623
8 201512
9 200211
10 20167
11 20117
12 19947
13 20036
14 20145
15 20094
16 20053
17 20123
18
Cloning and characterization of G protein-coupled receptors.
19933
19 20002
20 20121

About C. Ledent

C. Ledent is a scholar working on Immunology and Allergy, Physiology, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Dermatology, having authored 23 papers that have together received 770 indexed citations. Recurring topics across this work include Food Allergy and Anaphylaxis Research (5 papers), Receptor Mechanisms and Signaling (4 papers), Adenosine and Purinergic Signaling (4 papers), Thyroid Disorders and Treatments (3 papers), Allergic Rhinitis and Sensitization (3 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers) and Contact Dermatitis and Allergies (2 papers). The work is most often cited by research in Physiology (104 citations), Endocrinology, Diabetes and Metabolism (349 citations), Cellular and Molecular Neuroscience (155 citations), Immunology and Allergy (39 citations) and Oncology (159 citations). C. Ledent has collaborated with scholars based in Belgium, France and United Kingdom. Frequent co-authors include Marc Parmentier, Gilbert Vassart, J.E. Dumont, Shunhua Xing, John E. Sagartz, Charles C. Capen, Sissy Meihua Jhiang, Qiang Tong, Jan Parker‐Thornburg and Y. Choi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Allergy, Neuroscience, Journal of Endocrinology and Journal of Pharmacology and Experimental Therapeutics.

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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