Danielle Derocq

30 papers receiving 2.2k citations

Peers

Danielle Derocq
Comparison fields: 5 of 98
  • Cancer Research 673
  • Immunology and Allergy 221
  • Genetics 674
  • Oncology 536
  • Cell Biology 274
Replace Michael L. Lu with:
Michael L. Lu United States
Hendrik Gille Germany
B R Westley United Kingdom
Shigeru Sakiyama Japan
Donald J. Fujita Canada
Andrew D. Catling United States
Emmanuelle Liaudet‐Coopman France
Robert J. Pauley United States
Gary R. Fanger United States
Geoffrey A. Bartholomeusz United States
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Citations per year

Countries citing papers authored by Danielle Derocq

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Derocq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005285
2 1980170
3
Overexpression of transfected cathepsin D in transformed cells increases their malignant phenotype and metastatic potency.
1990158
4 1992155
5 1996137
6 2006114
7 2002104
8
Effect of estradiol on the ultrastructure of the MCF7 human breast cancer cells in culture.
198295
9 199888
10 201085
11
Characterization of monoclonal antibodies to the estrogen-regulated Mr 52,000 glycoprotein and their use in MCF7 cells.
198581
12 198881
13 201978
14 199875
15 198469
16 199463
17 201160
18 198758
19 201258
20
Transfected cathepsin D stimulates high density cancer cell growth by inactivating secreted growth inhibitors.
199555

About Danielle Derocq

Danielle Derocq is a scholar working on Cancer Research, Immunology and Allergy, Genetics, Molecular Biology and Cell Biology, having authored 30 papers that have together received 2.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (11 papers), Protease and Inhibitor Mechanisms (11 papers), Cell Adhesion Molecules Research (6 papers), Molecular Biology Techniques and Applications (4 papers), Cellular transport and secretion (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Oral microbiology and periodontitis research (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Cancer Research (673 citations), Immunology and Allergy (221 citations), Genetics (674 citations), Oncology (536 citations) and Cell Biology (274 citations). Danielle Derocq has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Henri Rochefort, Marcel Garcia, Françoise Vignon, Emmanuelle Liaudet‐Coopman, Christine Prébois, Valérie Laurent‐Matha, Nadine Platet, Mélanie Beaujouin, Pascal Pujol and Purificación Pérez-García. Their work appears in journals such as Oncogene, The Journal of Steroid Biochemistry and Molecular Biology, International Journal of Cancer, The FASEB Journal and Molecular and Cellular Endocrinology.

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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