Catherine De Oliveira

1.1k citations
6 papers · 843 indexed · 1 hit paper · h-index 5
Topics
Barrier Structure and Function Studies (1 paper)Berberine and alkaloids research (1 paper)Protein Kinase Regulation and GTPase Signaling (1 paper)
Partner nations
FranceUnited States

In The Last Decade

Catherine De Oliveira

6 papers receiving 822 citations

Hit Papers

Frequent activating mutations of FGFR3 in human bladder a...19992026200820171999100200300400500

Peers

Catherine De Oliveira
Comparison fields: 5 of 66
  • Molecular Biology 651
  • Surgery 225
  • Pulmonary and Respiratory Medicine 165
  • Oncology 124
  • Cancer Research 100
Replace Uwe Dietz with:
Uwe Dietz Germany
Rie Yasuoka Japan
Yuanheng Ning China
Shobha Castelino‐Prabhu United States
Liyan Xue China
Aparna Gupta United States
Tina Di Palma Italy
Marie-Claire Wagle United States
Eleftheria Vasilaki Sweden
Kakoli Das Singapore
Catherine De Oliveira relative to Uwe Dietz Germany Uwe Dietz's profile →
Citations per field
00.5×2.9×
Uwe Dietz · 1×
Citations per year

Countries citing papers authored by Catherine De Oliveira

Since Specialization
Citations

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

Fields of papers citing papers by Catherine De Oliveira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Catherine De Oliveira. 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 Catherine De Oliveira. The network helps show where Catherine De Oliveira may publish in the future.

Co-authorship network of co-authors of Catherine De Oliveira

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 3
2 14
3 117
4 23
5 141
6
Frequent activating mutations of FGFR3 in human bladder and cervix carcinomasbreakdown →
545

About Catherine De Oliveira

Catherine De Oliveira is a scholar working on Neurology, Neurology and Pharmacology, having authored 6 papers that have together received 843 indexed citations. Recurring topics across this work include Barrier Structure and Function Studies (1 paper), Berberine and alkaloids research (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Molecular Biology (651 citations), Cancer Research (100 citations) and Cell Biology (93 citations). Catherine De Oliveira has collaborated with scholars based in France and United States. Frequent co-authors include J.-S. Bourdin, David Cappellen, François Radvanyi, Xavier Sastre‐Garau, Jean Paul Thiery, Dominique Chopin, Thomas Melot, Luce Dauphinot, Nicolas Sévenet and Bernard E. Weissman. Their work appears in journals such as Journal of Biological Chemistry, Nature Genetics and Oncogene.

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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