Amelie Lier

2.6k total citations
9 papers, 467 citations indexed

About

Amelie Lier is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Amelie Lier has authored 9 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Hematology. Recurrent topics in Amelie Lier's work include Cancer Genomics and Diagnostics (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Pluripotent Stem Cells Research (2 papers). Amelie Lier is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Pluripotent Stem Cells Research (2 papers). Amelie Lier collaborates with scholars based in Germany, Serbia and Armenia. Amelie Lier's co-authors include Albrecht Stenzinger, Volker Endris, Roland Penzel, Jan Budczies, Stefan Fröhling, Anna‐Lena Volckmar, Jonas Leichsenring, Martina Kirchner, Michael Thomas and Olaf Neumann and has published in prestigious journals such as International Journal of Cancer, Cell Cycle and OncoImmunology.

In The Last Decade

Amelie Lier

9 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amelie Lier Germany 8 288 238 208 130 78 9 467
T.M. Kim South Korea 7 266 0.9× 86 0.4× 152 0.7× 127 1.0× 134 1.7× 14 416
Brian Datnow United States 8 254 0.9× 168 0.7× 116 0.6× 173 1.3× 57 0.7× 16 444
Rupal Desai United States 11 414 1.4× 142 0.6× 122 0.6× 161 1.2× 195 2.5× 18 581
Marie Cornic France 13 256 0.9× 210 0.9× 95 0.5× 133 1.0× 301 3.9× 24 548
Laura Palmeri Italy 12 285 1.0× 85 0.4× 130 0.6× 85 0.7× 101 1.3× 20 390
Christiane Rakozy United States 7 158 0.5× 181 0.8× 154 0.7× 159 1.2× 106 1.4× 9 444
Eloise Scarano Italy 11 489 1.7× 408 1.7× 106 0.5× 209 1.6× 115 1.5× 17 690
J. De Waal Germany 5 331 1.1× 210 0.9× 98 0.5× 73 0.6× 43 0.6× 13 425
Hiroyuki Yasojima Japan 15 512 1.8× 192 0.8× 328 1.6× 128 1.0× 56 0.7× 51 682
HS Rugo United States 13 459 1.6× 189 0.8× 199 1.0× 105 0.8× 25 0.3× 49 561

Countries citing papers authored by Amelie Lier

Since Specialization
Citations

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

Fields of papers citing papers by Amelie Lier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amelie Lier

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

All Works

9 of 9 papers shown
1.
Buchhalter, Ivo, Eugen Rempel, Volker Endris, et al.. (2018). Size matters: Dissecting key parameters for panel‐based tumor mutational burden analysis. International Journal of Cancer. 144(4). 848–858. 117 indexed citations
2.
Allgäuer, Michael, Jan Budczies, Petros Christopoulos, et al.. (2018). Implementing tumor mutational burden (TMB) analysis in routine diagnostics—a primer for molecular pathologists and clinicians. Translational Lung Cancer Research. 7(5). 703–715. 138 indexed citations
3.
Endris, Volker, Ivo Buchhalter, Michael Allgäuer, et al.. (2018). Measurement of tumor mutational burden (TMB) in routine molecular diagnostics: in silico and real‐life analysis of three larger gene panels. International Journal of Cancer. 144(9). 2303–2312. 82 indexed citations
4.
Kirchner, Martina, Dimitrije Brašanac, Jonas Leichsenring, et al.. (2017). Targeted molecular profiling reveals genetic heterogeneity of poromas and porocarcinomas. Pathology. 50(3). 327–332. 24 indexed citations
5.
Budczies, Jan, Gunhild Mechtersheimer, Carsten Denkert, et al.. (2017). PD-L1 (CD274) copy number gain, expression, and immune cell infiltration as candidate predictors for response to immune checkpoint inhibitors in soft-tissue sarcoma. OncoImmunology. 6(3). e1279777–e1279777. 48 indexed citations
6.
Kaschutnig, Paul, Ruzhica Bogeska, Dagmar Walter, et al.. (2015). The Fanconi anemia pathway is required for efficient repair of stress-induced DNA damage in haematopoietic stem cells. Cell Cycle. 14(17). 2734–2742. 18 indexed citations
7.
Lipka, Daniel B., Qi Wang, Nina Cabezas‐Wallscheid, et al.. (2014). Identification of DNA methylation changes atcis-regulatory elements during early steps of HSC differentiation using tagmentation-based whole genome bisulfite sequencing. Cell Cycle. 13(22). 3476–3487. 25 indexed citations
8.
Geiselhart, Anja, Amelie Lier, Dagmar Walter, & Michael D. Milsom. (2012). Disrupted Signaling through the Fanconi Anemia Pathway Leads to Dysfunctional Hematopoietic Stem Cell Biology: Underlying Mechanisms and Potential Therapeutic Strategies. Anemia. 2012. 1–18. 10 indexed citations
9.
Lier, Amelie, Erich Gebhart, Frenny Sheth, et al.. (2012). Does positioning of chromosomes 8 and 21 in interphase drive t(8;21) in acute myelogenous leukemia?. ZooKeys. 5 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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