Danièle Muller

1.9k total citations
11 papers, 794 citations indexed

About

Danièle Muller is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Danièle Muller has authored 11 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Oncology. Recurrent topics in Danièle Muller's work include RNA modifications and cancer (3 papers), BRCA gene mutations in cancer (3 papers) and Genomics and Chromatin Dynamics (3 papers). Danièle Muller is often cited by papers focused on RNA modifications and cancer (3 papers), BRCA gene mutations in cancer (3 papers) and Genomics and Chromatin Dynamics (3 papers). Danièle Muller collaborates with scholars based in France and United States. Danièle Muller's co-authors include Joseph Abecassis, R Millon, Stanislas du Manoir, Richard Redon, M. Eber, Bohdan Wasylyk, C Wolf, N. Rouyer, G Méthlin and G. Bronner and has published in prestigious journals such as Oncogene, British Journal of Cancer and International Journal of Cancer.

In The Last Decade

Danièle Muller

11 papers receiving 777 citations

Peers

Danièle Muller
Comparison fields: 5 of 74
  • Molecular Biology 487
  • Oncology 291
  • Cancer Research 288
  • Genetics 138
  • Immunology and Allergy 94
Replace Georgina Berrozpe with:
Georgina Berrozpe United States
Marilyn Skelly United States
M. Wick Germany
D. Campbell United States
Nobuaki Akakura United States
Wolfgang Boeck Germany
Maria-Asunción Ortega United States
Johanne Dubail France
Ángela Moncada-Pazos Spain
F. Müller-Pillasch Germany
Georgina Berrozpe United States View profile →
Citations per field, relative to Danièle Muller
Danièle Muller · 1×
Citations per year, relative to Danièle Muller
Danièle Muller · 1×

Countries citing papers authored by Danièle Muller

Since Specialization
Citations

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

Fields of papers citing papers by Danièle Muller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danièle Muller

This figure shows the co-authorship network connecting the top 25 collaborators of Danièle Muller. A scholar is included among the top collaborators of Danièle Muller 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 Danièle Muller. Danièle Muller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 15
2 16
3 23
4 224
5
Amplicon mapping and transcriptional analysis pinpoint cyclin L as a candidate oncogene in head and neck cancer.
63
6
A simple specific pattern of chromosomal aberrations at early stages of head and neck squamous cell carcinomas: PIK3CA but not p63 gene as a likely target of 3q26-qter gains.
100
7
Germ-line mutations at BRCA1 in northeastern France
3
8 114
9
Increased stromelysin 3 gene expression is associated with increased local invasiveness in head and neck squamous cell carcinomas.
189
10 17
11 30

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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