Nanna Claij

581 total citations
10 papers, 483 citations indexed

About

Nanna Claij is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Nanna Claij has authored 10 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Pathology and Forensic Medicine and 5 papers in Cancer Research. Recurrent topics in Nanna Claij's work include Genetic factors in colorectal cancer (7 papers), Cancer Genomics and Diagnostics (5 papers) and DNA Repair Mechanisms (4 papers). Nanna Claij is often cited by papers focused on Genetic factors in colorectal cancer (7 papers), Cancer Genomics and Diagnostics (5 papers) and DNA Repair Mechanisms (4 papers). Nanna Claij collaborates with scholars based in Netherlands, France and United States. Nanna Claij's co-authors include Hein te Riele, L.A.M. Jansen, Marleen Dekker, Martin van der Valk, Miroslav Radman, Niels de Wind, Greg Riggins, Dorien J.M. Peters, Martijn H. Breuning and Marco C. DeRuiter and has published in prestigious journals such as Nature Genetics, Oncogene and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Nanna Claij

10 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nanna Claij Netherlands 8 302 294 166 117 111 10 483
R.S. Cornelis Netherlands 6 258 0.9× 276 0.9× 212 1.3× 189 1.6× 101 0.9× 6 489
Nikolai Mironov France 12 367 1.2× 170 0.6× 134 0.8× 98 0.8× 74 0.7× 18 521
Deborah Packham Australia 11 245 0.8× 288 1.0× 202 1.2× 195 1.7× 89 0.8× 14 490
Melanie Isau Germany 4 192 0.6× 132 0.4× 217 1.3× 144 1.2× 58 0.5× 4 383
Alexandra E. Gylfe Finland 10 201 0.7× 148 0.5× 104 0.6× 111 0.9× 67 0.6× 14 334
Slavomir Dzieciatkowski United States 10 420 1.4× 281 1.0× 188 1.1× 298 2.5× 53 0.5× 12 651
S Cottrell United Kingdom 9 223 0.7× 396 1.3× 136 0.8× 269 2.3× 165 1.5× 14 604
J G Stone United Kingdom 11 168 0.6× 179 0.6× 117 0.7× 136 1.2× 52 0.5× 14 385
Joan Shaw United Kingdom 6 218 0.7× 275 0.9× 109 0.7× 178 1.5× 83 0.7× 9 476
Sandra Dudley United States 10 303 1.0× 188 0.6× 109 0.7× 69 0.6× 80 0.7× 13 442

Countries citing papers authored by Nanna Claij

Since Specialization
Citations

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

Fields of papers citing papers by Nanna Claij

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nanna Claij

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

All Works

10 of 10 papers shown
1.
Claij, Nanna, Martine Jodar, Alexandra Dedman, et al.. (2010). Pkd1-inactivation in vascular smooth muscle cells and adaptation to hypertension. Laboratory Investigation. 91(1). 24–32. 31 indexed citations
2.
Claij, Nanna, Irma S Lantinga‐van Leeuwen, J. Conny van Munsteren, et al.. (2007). Pathogenic Sequence for Dissecting Aneurysm Formation in a Hypomorphic Polycystic Kidney Disease 1 Mouse Model. Arteriosclerosis Thrombosis and Vascular Biology. 27(10). 2177–2183. 59 indexed citations
3.
Claij, Nanna & Dorien J.M. Peters. (2006). Teaching molecular genetics: Chapter 2—Transgenesis and gene targeting: mouse models to study gene function and expression. Pediatric Nephrology. 21(3). 318–323. 3 indexed citations
4.
Claij, Nanna & Hein te Riele. (2004). Msh2 deficiency does not contribute to cisplatin resistance in mouse embryonic stem cells. Oncogene. 23(1). 260–266. 30 indexed citations
5.
Claij, Nanna, et al.. (2003). DNA mismatch repair deficiency stimulates N-ethyl-N-nitrosourea-induced mutagenesis and lymphomagenesis.. PubMed. 63(9). 2062–6. 27 indexed citations
6.
Meira, Lisiane B., David L. Cheo, António Reis, et al.. (2002). Mice defective in the mismatch repair gene Msh2 show increased predisposition to UVB radiation-induced skin cancer. DNA repair. 1(11). 929–934. 36 indexed citations
7.
Claij, Nanna & Hein te Riele. (2002). Methylation tolerance in mismatch repair proficient cells with low MSH2 protein level. Oncogene. 21(18). 2873–2879. 49 indexed citations
8.
Jansen, L.A.M., et al.. (2000). Acceleration of lymphomagenesis in mismatch-repair deficient mice by exposure to genotoxic agents. Toxicology Letters. 112-113. 245–250. 3 indexed citations
9.
Claij, Nanna & Hein te Riele. (1999). Microsatellite Instability in Human Cancer: A Prognostic Marker for Chemotherapy?. Experimental Cell Research. 246(1). 1–10. 72 indexed citations
10.
Wind, Niels de, Marleen Dekker, Nanna Claij, et al.. (1999). HNPCC-like cancer predisposition in mice through simultaneous loss of Msh3 and Msh6 mismatch-repair protein functions. Nature Genetics. 23(3). 359–362. 173 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by R.S. Cornelis Breakdown of academic impact, for papers by Nikolai Mironov Breakdown of academic impact, for papers by Deborah Packham Breakdown of academic impact, for papers by Melanie Isau Breakdown of academic impact, for papers by Alexandra E. Gylfe Breakdown of academic impact, for papers by Slavomir Dzieciatkowski Breakdown of academic impact, for papers by S Cottrell Breakdown of academic impact, for papers by J G Stone Breakdown of academic impact, for papers by Joan Shaw Breakdown of academic impact, for papers by Sandra Dudley
Rankless by CCL
2026