Laurence Danel

871 citations
9 papers · 586 · h-index 8

Impact in

Papers in

Laurence Danel

9 papers receiving 565 citations

Peers

Laurence Danel
Comparison fields: 5 of 78
  • Immunology 231
  • Behavioral Neuroscience 33
  • Genetics 168
  • Reproductive Medicine 44
  • Rheumatology 70
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Mark D. Crew United States
M C Gagnerault France
Peter L Whitfeld Australia
H. Link Germany
Iris Hart United States
Christina Chaivorapol United States
Rebecca A. Phillips United States
Hiroya Uzumaki Japan
M.F. Rousseau-Merck France
Venkatesh Jeganathan United States
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Citations per field
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Citations per year

Countries citing papers authored by Laurence Danel

Since Specialization
Citations

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

Fields of papers citing papers by Laurence Danel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Laurence Danel, 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 Laurence Danel Line = papers co-authored together Laurence Danel links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1983256
2 1983120
3 198573
4 198848
5 198146
6
Presence of estrogen binding sites and growth-stimulating effect of estradiol in the human myelogenous cell line HL60.
198223
7 198412
8
Effect of physiological concentrations of sex hormones on the formation of "early" sheep red blood cell rosettes by human lymphocytes. Possible relations with the presence of sex-hormone-cytosol-receptors in lymphocytes.
19817
9 19831

About Laurence Danel

Laurence Danel is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology and Immunology, having authored 9 papers that have together received 586 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Chemical Synthesis and Analysis (2 papers), Carcinogens and Genotoxicity Assessment (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Dermatology and Skin Diseases (1 paper) and Multiple Myeloma Research and Treatments (1 paper). The work is most often cited by research in Immunology (231 citations), Behavioral Neuroscience (33 citations), Genetics (168 citations), Reproductive Medicine (44 citations) and Rheumatology (70 citations). Laurence Danel has collaborated with scholars based in France and United States. Frequent co-authors include S Saez, J. Cohen, G Cordier, J.P. Revillard, J. C. Monier, Jean‐Pierre Revillard, Jean‐Pierre Magaud, Gilbert Lenoir, N. Tubiana-Mathieu and B G M Durie. Their work appears in journals such as The Journal of Immunology, International Journal of Cancer, Leukemia Research, Journal of Steroid Biochemistry and PubMed.

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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