Nicole Amberg

1.9k total citations
23 papers, 1.2k citations indexed

About

Nicole Amberg is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Nicole Amberg has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Immunology. Recurrent topics in Nicole Amberg's work include Single-cell and spatial transcriptomics (11 papers), Epigenetics and DNA Methylation (7 papers) and Genetic Syndromes and Imprinting (5 papers). Nicole Amberg is often cited by papers focused on Single-cell and spatial transcriptomics (11 papers), Epigenetics and DNA Methylation (7 papers) and Genetic Syndromes and Imprinting (5 papers). Nicole Amberg collaborates with scholars based in Austria, United States and Germany. Nicole Amberg's co-authors include Maria Sibilia, Martin Holcmann, Simon Hippenmeyer, Martina Hammer, Barbara Drobits, Melissa Swiecki, Marco Colonna, G. Bartolini, Ludovic Telley and Gulistan Agirman and has published in prestigious journals such as Science, Cell and Journal of Clinical Investigation.

In The Last Decade

Nicole Amberg

22 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicole Amberg Austria 13 528 424 262 130 126 23 1.2k
Misa Suzuki Japan 23 1.3k 2.4× 435 1.0× 189 0.7× 56 0.4× 121 1.0× 60 2.1k
Cynthia J. L. Carruthers United States 12 481 0.9× 706 1.7× 188 0.7× 41 0.3× 60 0.5× 13 1.5k
Jan‐Philipp Mallm Germany 19 1.3k 2.4× 396 0.9× 197 0.8× 22 0.2× 169 1.3× 48 1.9k
Yee-Guide Yeung United States 16 845 1.6× 927 2.2× 355 1.4× 31 0.2× 107 0.8× 17 1.9k
J.H. Xiao France 10 1.1k 2.0× 249 0.6× 232 0.9× 52 0.4× 127 1.0× 11 1.6k
Robert Shiurba Japan 20 546 1.0× 208 0.5× 167 0.6× 63 0.5× 53 0.4× 42 1.2k
Fumi Shibata Japan 14 912 1.7× 520 1.2× 235 0.9× 46 0.4× 126 1.0× 22 1.6k
Laurent Magnenat United States 10 591 1.1× 795 1.9× 171 0.7× 26 0.2× 43 0.3× 12 1.5k
Elisabetta Bianchi France 24 857 1.6× 698 1.6× 408 1.6× 21 0.2× 294 2.3× 51 1.9k
Rose Mathew United States 18 582 1.1× 313 0.7× 157 0.6× 25 0.2× 40 0.3× 27 1.3k

Countries citing papers authored by Nicole Amberg

Since Specialization
Citations

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

Fields of papers citing papers by Nicole Amberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicole Amberg

This figure shows the co-authorship network connecting the top 25 collaborators of Nicole Amberg. A scholar is included among the top collaborators of Nicole Amberg 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 Amberg. Nicole Amberg 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
1.
Amberg, Nicole, Giselle Cheung, & Simon Hippenmeyer. (2023). Protocol for sorting cells from mouse brains labeled with mosaic analysis with double markers by flow cytometry. STAR Protocols. 5(1). 102771–102771.
2.
Basilico, Bernadette, Daniel Malzl, Mateja Smogavec, et al.. (2023). Large neutral amino acid levels tune perinatal neuronal excitability and survival. Cell. 186(9). 1950–1967.e25. 37 indexed citations
3.
Velicky, Philipp, Jake F. Watson, Christoph Sommer, et al.. (2023). Imaging brain tissue architecture across millimeter to nanometer scales. Nature Biotechnology. 42(7). 1051–1064. 10 indexed citations
4.
Amberg, Nicole, Melissa A. Stouffer, & Irene Vercellino. (2022). Operation STEM fatale – how an equity, diversity and inclusion initiative has brought us to reflect on the current challenges in cell biology and science as a whole. Journal of Cell Science. 135(8). 1 indexed citations
5.
Amberg, Nicole & Simon Hippenmeyer. (2021). Genetic mosaic dissection of candidate genes in mice using mosaic analysis with double markers. STAR Protocols. 2(4). 100939–100939. 7 indexed citations
6.
Contreras, Ximena, Nicole Amberg, Andi H. Hansen, et al.. (2021). A genome-wide library of MADM mice for single-cell genetic mosaic analysis. Cell Reports. 35(12). 109274–109274. 36 indexed citations
7.
Pauler, Florian M., Robert Beattie, Nicole Amberg, et al.. (2020). Cell-Type Specificity of Genomic Imprinting in Cerebral Cortex. Neuron. 107(6). 1160–1179.e9. 22 indexed citations
8.
Beattie, Robert, Carmen Streicher, Nicole Amberg, et al.. (2020). Lineage Tracing and Clonal Analysis in Developing Cerebral Cortex Using Mosaic Analysis with Double Markers (MADM). Journal of Visualized Experiments. 15 indexed citations
9.
Contreras, Ximena, Nicole Amberg, Andi H. Hansen, et al.. (2020). A Genome-Wide Library of MADM Mice for Single-Cell Genetic Mosaic Analysis. SSRN Electronic Journal. 1 indexed citations
10.
Beattie, Robert, et al.. (2020). Imprinted Cdkn1c genomic locus cell-autonomously promotes cell survival in cerebral cortex development. Nature Communications. 11(1). 195–195. 35 indexed citations
11.
Amberg, Nicole, et al.. (2020). Generation and isolation of single cells from mouse brain with mosaic analysis with double markers-induced uniparental chromosome disomy. STAR Protocols. 1(3). 100215–100215. 9 indexed citations
12.
Beattie, Robert, Carmen Streicher, Nicole Amberg, et al.. (2020). Lineage Tracing and Clonal Analysis in Developing Cerebral Cortex Using Mosaic Analysis with Double Markers (MADM). Journal of Visualized Experiments. 1 indexed citations
13.
Telley, Ludovic, Gulistan Agirman, Julien Prados, et al.. (2019). Temporal patterning of apical progenitors and their daughter neurons in the developing neocortex. Science. 364(6440). 226 indexed citations
14.
Amberg, Nicole, Panagiota A. Sotiropoulou, Gerwin Heller, et al.. (2019). EGFR Controls Hair Shaft Differentiation in a p53-Independent Manner. iScience. 15. 243–256. 11 indexed citations
15.
Amberg, Nicole, et al.. (2016). Effects of Imiquimod on Hair Follicle Stem Cells and Hair Cycle Progression. Journal of Investigative Dermatology. 136(11). 2140–2149. 24 indexed citations
16.
Amberg, Nicole, et al.. (2015). Mouse Models of Nonmelanoma Skin Cancer. Methods in molecular biology. 1267. 217–250. 8 indexed citations
17.
Natarajan, Anuradha, Liang Li, Nicole Amberg, et al.. (2014). EGFR has a tumour-promoting role in liver macrophages during hepatocellular carcinoma formation. Nature Cell Biology. 16(10). 972–981. 188 indexed citations
18.
Glitzner, Elisabeth, Ana Korosec, Patrick M. Brunner, et al.. (2014). Specific roles for dendritic cell subsets during initiation and progression of psoriasis. EMBO Molecular Medicine. 6(10). 1312–1327. 101 indexed citations
19.
Lichtenberger, Beate M., Peter Arne Gerber, Martin Holcmann, et al.. (2013). Epidermal EGFR Controls Cutaneous Host Defense and Prevents Inflammation. Science Translational Medicine. 5(199). 199ra111–199ra111. 168 indexed citations
20.
Drobits, Barbara, Martin Holcmann, Nicole Amberg, et al.. (2012). Imiquimod clears tumors in mice independent of adaptive immunity by converting pDCs into tumor-killing effector cells. Journal of Clinical Investigation. 122(2). 575–585. 234 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 Misa Suzuki Breakdown of academic impact, for papers by Cynthia J. L. Carruthers Breakdown of academic impact, for papers by Jan‐Philipp Mallm Breakdown of academic impact, for papers by Yee-Guide Yeung Breakdown of academic impact, for papers by J.H. Xiao Breakdown of academic impact, for papers by Robert Shiurba Breakdown of academic impact, for papers by Fumi Shibata Breakdown of academic impact, for papers by Laurent Magnenat Breakdown of academic impact, for papers by Elisabetta Bianchi Breakdown of academic impact, for papers by Rose Mathew
Rankless by CCL
2026