Marie‐Berthe Raes

720 citations
12 papers · 639 indexed · h-index 10
Topics
TGF-β signaling in diseases (3 papers)Virus-based gene therapy research (2 papers)HIV Research and Treatment (2 papers)
Partner nations
FranceSlovakiaGermany

In The Last Decade

Marie‐Berthe Raes

12 papers receiving 611 citations

Peers

Marie‐Berthe Raes
Comparison fields: 5 of 60
  • Molecular Biology 411
  • Cancer Research 175
  • Oncology 142
  • Genetics 108
  • Immunology and Allergy 94
Replace Kenji Nagao with:
Kenji Nagao Japan
Nianjun Tao United States
J.J.M. van Groningen Netherlands
Dawn M. Bryce Canada
I.-M. Shih United States
Anil Bajpai United States
S. O. Yim United States
Iris Dallmann Germany
Fatima Dkhissi France
P S Rudland United Kingdom
Marie‐Berthe Raes relative to Kenji Nagao Japan Kenji Nagao's profile →
Citations per field
00.5×3.8×
Kenji Nagao · 1×
Citations per year

Countries citing papers authored by Marie‐Berthe Raes

Since Specialization
Citations

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

Fields of papers citing papers by Marie‐Berthe Raes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie‐Berthe Raes. 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 Marie‐Berthe Raes. The network helps show where Marie‐Berthe Raes may publish in the future.

Co-authorship network of co-authors of Marie‐Berthe Raes

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 45
2 36
3
Stromal expression of c-Ets1 transcription factor correlates with tumor invasion.
124
4 34
5
c-ets1 proto-oncogene is a transcription factor expressed in endothelial cells during tumor vascularization and other forms of angiogenesis in humans.
205
6 17
7 9
8
A boy with acromesomelic dysplasia. Growth course and growth hormone release.
2
9 17
10 74
11 28
12 48

About Marie‐Berthe Raes

Marie‐Berthe Raes is a scholar working on Virology, Immunology and Allergy and Cancer Research, having authored 12 papers that have together received 639 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (3 papers), Virus-based gene therapy research (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Immunology and Allergy (94 citations), Cancer Research (175 citations) and Molecular Biology (411 citations). Marie‐Berthe Raes has collaborated with scholars based in France, Slovakia and Germany. Frequent co-authors include D. Stéhelin, Bernard Vandenbunder, Nicolas Wernert, M. P. Dehouck, Benoit Gosselin, Philippe Lassalle, Simon Saule, Véronique Fafeur, C. Lagrou and Fatima Bouali. Their work appears in journals such as The EMBO Journal, Journal of Virology and Experimental Cell Research.

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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