Nicole Riteco

1.2k total citations · 1 hit paper
8 papers, 987 citations indexed

About

Nicole Riteco is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Nicole Riteco has authored 8 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Genetics. Recurrent topics in Nicole Riteco's work include Virus-based gene therapy research (4 papers), Cancer-related Molecular Pathways (4 papers) and Cancer Research and Treatments (3 papers). Nicole Riteco is often cited by papers focused on Virus-based gene therapy research (4 papers), Cancer-related Molecular Pathways (4 papers) and Cancer Research and Treatments (3 papers). Nicole Riteco collaborates with scholars based in Netherlands and United Kingdom. Nicole Riteco's co-authors include Wilma T. Steegenga, A.J. van der Eb, Theo van Laar, Aart G. Jochemsen, Johannes L. Bos, Анна Шварц, Pim Dekker, Guus Hateboer, Aart G. Jochemsen and Merlijn Bazuine and has published in prestigious journals such as The EMBO Journal, Molecular and Cellular Biology and Oncogene.

In The Last Decade

Nicole Riteco

8 papers receiving 969 citations

Hit Papers

MDMX: a novel p53-binding protein with some functional pr... 1996 2026 2006 2016 1996 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nicole Riteco Netherlands 8 795 656 242 209 94 8 987
A Cook United Kingdom 14 936 1.2× 696 1.1× 196 0.8× 167 0.8× 170 1.8× 15 1.3k
S. W. Lowe United States 2 493 0.6× 382 0.6× 238 1.0× 135 0.6× 55 0.6× 3 677
Nancy Yen United States 8 538 0.7× 227 0.3× 326 1.3× 153 0.7× 56 0.6× 10 713
Foon Wu-Baer United States 14 1.4k 1.8× 709 1.1× 197 0.8× 68 0.3× 174 1.9× 17 1.6k
Robert L. Marraccino United States 8 818 1.0× 460 0.7× 137 0.6× 43 0.2× 108 1.1× 8 956
Zao-zhong Su United States 9 377 0.5× 335 0.5× 336 1.4× 105 0.5× 67 0.7× 9 802
Xavier Chenivesse France 8 767 1.0× 684 1.0× 144 0.6× 67 0.3× 128 1.4× 14 1.2k
Michael F. Clarke United States 9 444 0.6× 283 0.4× 75 0.3× 81 0.4× 73 0.8× 12 716
Pradip Raychaudhuri United States 16 757 1.0× 487 0.7× 434 1.8× 40 0.2× 74 0.8× 21 1.1k
Karl‐Heinz Scheidtmann Germany 11 515 0.6× 269 0.4× 119 0.5× 36 0.2× 66 0.7× 14 703

Countries citing papers authored by Nicole Riteco

Since Specialization
Citations

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

Fields of papers citing papers by Nicole Riteco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicole Riteco

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

All Works

8 of 8 papers shown
1.
Scharnhorst, Volkher, Aswin Menke, Joline Attema, et al.. (2000). EGR-1 enhances tumor growth and modulates the effect of the Wilms' tumor 1 gene products on tumorigenicity. Oncogene. 19(6). 791–800. 66 indexed citations
2.
Steegenga, Wilma T., Nicole Riteco, & Johannes L. Bos. (1999). Infectivity and expression of the early adenovirus proteins are important regulators of wild-type and ΔE1B adenovirus replication in human cells. Oncogene. 18(36). 5032–5043. 20 indexed citations
3.
Steegenga, Wilma T., Avi Shvarts, Nicole Riteco, Johannes L. Bos, & Aart G. Jochemsen. (1999). Distinct Regulation of p53 and p73 Activity by Adenovirus E1A, E1B, and E4orf6 Proteins. Molecular and Cellular Biology. 19(5). 3885–3894. 84 indexed citations
4.
Steegenga, Wilma T., Nicole Riteco, Aart G. Jochemsen, Frits J. Fallaux, & Johannes L. Bos. (1998). The large E1B protein together with the E4orf6 protein target p53 for active degradation in adenovirus infected cells. Oncogene. 16(3). 349–357. 155 indexed citations
5.
Шварц, Анна, et al.. (1997). Wilms' tumor 1-KTS isoforms induce p53-independent apoptosis that can be partially rescued by expression of the epidermal growth factor receptor or the insulin receptor.. PubMed. 57(7). 1353–63. 43 indexed citations
6.
Шварц, Анна, Wilma T. Steegenga, Nicole Riteco, et al.. (1996). MDMX: a novel p53-binding protein with some functional properties of MDM2.. The EMBO Journal. 15(19). 5349–5357. 520 indexed citations breakdown →
7.
Steegenga, Wilma T., Theo van Laar, Nicole Riteco, et al.. (1996). Adenovirus E1A Proteins Inhibit Activation of Transcription by p53. Molecular and Cellular Biology. 16(5). 2101–2109. 66 indexed citations
8.
Riteco, Nicole, et al.. (1996). Wilms' tumor 1 splice variants have opposite effects on the tumorigenicity of adenovirus-transformed baby-rat kidney cells.. PubMed. 12(3). 537–46. 33 indexed citations

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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