Daniela Matei

20.6k total citations · 10 hit papers
232 papers, 13.8k citations indexed

About

Daniela Matei is a scholar working on Molecular Biology, Oncology and Reproductive Medicine. According to data from OpenAlex, Daniela Matei has authored 232 papers receiving a total of 13.8k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 81 papers in Oncology and 70 papers in Reproductive Medicine. Recurrent topics in Daniela Matei's work include Ovarian cancer diagnosis and treatment (70 papers), Epigenetics and DNA Methylation (31 papers) and RNA modifications and cancer (23 papers). Daniela Matei is often cited by papers focused on Ovarian cancer diagnosis and treatment (70 papers), Epigenetics and DNA Methylation (31 papers) and RNA modifications and cancer (23 papers). Daniela Matei collaborates with scholars based in United States, United Kingdom and Germany. Daniela Matei's co-authors include Kenneth P. Nephew, Ursula A. Matulonis, Jeanne M. Schilder, Ignace Vergote, Jonathan A. Ledermann, Michael Friedländer, Tamar Safra, Werner Meier, Philipp Harter and Ronnie Shapira‐Frommer and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Daniela Matei

220 papers receiving 13.6k citations

Hit Papers

Olaparib Maintenance Therapy in Platinum-Sensitive... 2002 2026 2010 2018 2012 2014 2008 2002 2016 400 800 1.2k

Peers

Daniela Matei
Comparison fields: 5 of 148
  • Molecular Biology 6.8k
  • Oncology 6.4k
  • Reproductive Medicine 3.8k
  • Cancer Research 3.1k
  • Pulmonary and Respiratory Medicine 1.7k
Replace Samuel C. Mok with:
Samuel C. Mok United States
Christian Marth Austria
Ben Davidson Norway
Ernst Lengyel United States
Robert Zeillinger Austria
Kathleen R. Cho United States
Russell R. Broaddus United States
Hal W. Hirte Canada
Bryan T. Hennessy Ireland
Ie‐Ming Shih United States
Samuel C. Mok United States View profile →
Citations per field, relative to Daniela Matei
Daniela Matei · 1×
Citations per year, relative to Daniela Matei
Daniela Matei · 1×

Countries citing papers authored by Daniela Matei

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Matei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Matei

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 5
3 32
4 12
5 7
6 9
7 15
8 17
9 46
10 95
11 50
12 78
13 72
14 81
15 120
16 27
17 302
18 118
19
Identification and Characterization of Ovarian Cancer-Initiating Cells from Primary Human Tumors breakdown →
1055
20 102

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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