Nadja Laddach

739 total citations
13 papers, 407 citations indexed

About

Nadja Laddach is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Nadja Laddach has authored 13 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Genetics. Recurrent topics in Nadja Laddach's work include BRCA gene mutations in cancer (4 papers), DNA Repair Mechanisms (3 papers) and PARP inhibition in cancer therapy (3 papers). Nadja Laddach is often cited by papers focused on BRCA gene mutations in cancer (4 papers), DNA Repair Mechanisms (3 papers) and PARP inhibition in cancer therapy (3 papers). Nadja Laddach collaborates with scholars based in Netherlands, Germany and Spain. Nadja Laddach's co-authors include Esther H. Lips, Jelle Wesseling, Sjoerd Rodenhuis, Petra M. Nederlof, Dirk Roos, Masja de Haas, Gertjan Wolbink, C. Ellen van der Schoot, Willemijn B. Breunis and Edwin van Mirre and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and Annals of Oncology.

In The Last Decade

Nadja Laddach

13 papers receiving 395 citations

Peers

Nadja Laddach
Stephen Eck United States
Christine Mione Kiefer United States
Selda Samakoglu United States
A.M. Vénuat France
Bryan Wong United States
Philippe De La Rochère France
James Ryan United States
S. Yasue Japan
Daniela Intini Italy
Scott F. Winter United States
Stephen Eck United States
Nadja Laddach
Citations per year, relative to Nadja Laddach Nadja Laddach (= 1×) peers Stephen Eck

Countries citing papers authored by Nadja Laddach

Since Specialization
Citations

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

Fields of papers citing papers by Nadja Laddach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadja Laddach

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

All Works

13 of 13 papers shown
1.
Henry, Olivier, Beata Werne Solnestam, Linda Kvastad, et al.. (2017). Electrochemical Genetic Profiling of Single Cancer Cells. Analytical Chemistry. 89(6). 3378–3385. 16 indexed citations
2.
3.
Raa, G. Doreen te, Perry D. Moerland, Nadja Laddach, et al.. (2015). Assessment of p53 and ATM functionality in chronic lymphocytic leukemia by multiplex ligation-dependent probe amplification. Cell Death and Disease. 6(8). e1852–e1852. 13 indexed citations
4.
Kvastad, Linda, Beata Werne Solnestam, Emil Johansson, et al.. (2015). Single cell analysis of cancer cells using an improved RT-MLPA method has potential for cancer diagnosis and monitoring. Scientific Reports. 5(1). 16519–16519. 22 indexed citations
5.
Oonk, Anne M.M., Lennart Mulder, Nadja Laddach, et al.. (2012). Clinical correlates of ‘BRCAness’ in triple-negative breast cancer of patients receiving adjuvant chemotherapy. Annals of Oncology. 23(9). 2301–2305. 28 indexed citations
6.
Bunyan, David J., Jonathan L A Callaway, & Nadja Laddach. (2012). Detection of Partial Deletions of Y-chromosome AZFc in Infertile Men Using the Multiplex Ligation-dependent Probe Amplification Assay.. PubMed. 13(3). 174–8. 9 indexed citations
7.
Lips, Esther H., Nadja Laddach, Suvi Savola, et al.. (2011). Quantitative copy number analysis by Multiplex Ligation-dependent Probe Amplification (MLPA) of BRCA1-associated breast cancer regions identifies BRCAness. Breast Cancer Research. 13(5). R107–R107. 61 indexed citations
8.
Stakenborg, Tim, Olivier Henry, Elin Borgen, et al.. (2011). LAB-ON-A-CHIP FOR THE MAGNETIC ISOLATION AND ANALYSIS OF CIRCULATING TUMOR CELLS. 1 indexed citations
9.
Lips, Esther H., Lennart Mulder, Juliane Hannemann, et al.. (2010). Indicators of homologous recombination deficiency in breast cancer and association with response to neoadjuvant chemotherapy. Annals of Oncology. 22(4). 870–876. 60 indexed citations
10.
Stakenborg, Tim, Chengxun Liu, Olivier Henry, et al.. (2010). Automated genotyping of circulating tumor cells. Expert Review of Molecular Diagnostics. 10(6). 723–729. 11 indexed citations
11.
Sánchez, Josep Lluís Acero, Olivier Henry, Teresa Mairal, et al.. (2010). Colorimetric quantification of mRNA expression in rare tumour cells amplified by multiple ligation-dependent probe amplification. Analytical and Bioanalytical Chemistry. 397(6). 2325–2334. 6 indexed citations
12.
Breunis, Willemijn B., Edwin van Mirre, Judy Geissler, et al.. (2009). Copy number variation at theFCGRlocus includesFCGR3A, FCGR2CandFCGR3Bbut notFCGR2AandFCGR2B. Human Mutation. 30(5). E640–E650. 121 indexed citations
13.
Schneider, Rebekka K., Sabine Neuß, Nadja Laddach, et al.. (2007). Three-dimensional epidermis-like growth of human mesenchymal stem cells on dermal equivalents: contribution to tissue organization by adaptation of myofibroblastic phenotype and function. Differentiation. 76(2). 156–167. 48 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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