Laurence Danel

871 total citations
9 papers, 586 citations indexed

About

Laurence Danel is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Laurence Danel has authored 9 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Molecular Biology. Recurrent topics in Laurence Danel's work include Estrogen and related hormone effects (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Chemical Synthesis and Analysis (2 papers). Laurence Danel is often cited by papers focused on Estrogen and related hormone effects (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Chemical Synthesis and Analysis (2 papers). Laurence Danel collaborates with scholars based in France and United States. Laurence Danel's 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 F Rousset and has published in prestigious journals such as The Journal of Immunology, International Journal of Cancer and Leukemia Research.

In The Last Decade

Laurence Danel

9 papers receiving 565 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Laurence Danel France 8 231 168 102 94 74 9 586
H. Link Germany 17 373 1.6× 56 0.3× 118 1.2× 149 1.6× 37 0.5× 41 862
Mark D. Crew United States 18 227 1.0× 257 1.5× 388 3.8× 79 0.8× 190 2.6× 36 1.0k
Robert Graham Quinton Leslie Denmark 12 266 1.2× 53 0.3× 122 1.2× 30 0.3× 73 1.0× 19 538
M C Gagnerault France 12 338 1.5× 194 1.2× 138 1.4× 107 1.1× 351 4.7× 17 808
Peter L Whitfeld Australia 10 309 1.3× 82 0.5× 219 2.1× 43 0.5× 69 0.9× 10 709
Hiroya Uzumaki Japan 15 698 3.0× 75 0.4× 296 2.9× 104 1.1× 22 0.3× 26 1.1k
M.F. Rousseau-Merck France 15 81 0.4× 186 1.1× 377 3.7× 51 0.5× 82 1.1× 29 687
B.J. Schmeckpeper United States 12 287 1.2× 154 0.9× 242 2.4× 50 0.5× 20 0.3× 23 731
Rebecca A. Phillips United States 12 299 1.3× 102 0.6× 185 1.8× 97 1.0× 30 0.4× 18 750
Venkatesh Jeganathan United States 20 494 2.1× 176 1.0× 258 2.5× 128 1.4× 47 0.6× 26 1.0k

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-authorship network of co-authors of Laurence Danel

This figure shows the co-authorship network connecting the top 25 collaborators of Laurence Danel. A scholar is included among the top collaborators of Laurence Danel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Laurence Danel. Laurence Danel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Danel, Laurence, C. Vincent, F Rousset, et al.. (1988). Estrogen and progesterone receptors in some human myeloma cell lines and murine hybridomas. Journal of Steroid Biochemistry. 30(1-6). 363–367. 48 indexed citations
2.
Danel, Laurence, J. Cohen, Jean‐Pierre Magaud, et al.. (1985). Distribution of androgen and estrogen receptors among lymphoid and haemopoietic cell lines. Leukemia Research. 9(11). 1373–1378. 73 indexed citations
3.
Danel, Laurence, et al.. (1984). Characterization of a specific androgen receptor in non-Hodgkin's lymphoma cells. Journal of Steroid Biochemistry. 21(4). 421–426. 12 indexed citations
4.
Danel, Laurence, et al.. (1983). Specific estrogen binding sites in human lymphoid cells and thymic cells. Journal of Steroid Biochemistry. 18(5). 559–563. 120 indexed citations
5.
Cohen, J., Laurence Danel, G Cordier, S Saez, & J.P. Revillard. (1983). Sex steroid receptors in peripheral T cells: absence of androgen receptors and restriction of estrogen receptors to OKT8-positive cells.. The Journal of Immunology. 131(6). 2767–2771. 256 indexed citations
6.
Danel, Laurence, J. Cohen, G Cordier, J.P. Revillard, & S Saez. (1983). 414 Distribution 0f androgen and estrogen receptors among human peripheral T lymphocyte subsets. Journal of Steroid Biochemistry. 19. 138–138. 1 indexed citations
7.
Danel, Laurence, G Cordier, Jean‐Pierre Revillard, & S Saez. (1982). Presence of estrogen binding sites and growth-stimulating effect of estradiol in the human myelogenous cell line HL60.. PubMed. 42(11). 4701–5. 23 indexed citations
8.
Danel, Laurence, et al.. (1981). 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.. PubMed. 33(5). 150–2. 7 indexed citations
9.
Danel, Laurence, et al.. (1981). Androgen, estrogen and progestin binding sites in human leukemic cells. International Journal of Cancer. 27(6). 733–741. 46 indexed citations

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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