Niels Eckstein

1.6k total citations
36 papers, 1.3k citations indexed

About

Niels Eckstein is a scholar working on Molecular Biology, Toxicology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Niels Eckstein has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Toxicology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Niels Eckstein's work include Forensic Toxicology and Drug Analysis (8 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Receptor Mechanisms and Signaling (4 papers). Niels Eckstein is often cited by papers focused on Forensic Toxicology and Drug Analysis (8 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Receptor Mechanisms and Signaling (4 papers). Niels Eckstein collaborates with scholars based in Germany, United States and Austria. Niels Eckstein's co-authors include Matthias U. Kassack, Bodo Haas, Hans‐Dieter Royer, Georg von Jonquières, Kati Servan, P. Mayer, Alexandra Hamacher, Sascha K. Manier, Markus R. Meyer and Wolfgang Sadée and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

Niels Eckstein

35 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Niels Eckstein Germany 20 743 284 142 139 126 36 1.3k
Rebecca S. Keller United States 19 704 0.9× 161 0.6× 90 0.6× 141 1.0× 136 1.1× 34 1.6k
Pu Duann United States 15 808 1.1× 225 0.8× 86 0.6× 33 0.2× 38 0.3× 27 1.3k
Yingjie Li China 18 944 1.3× 212 0.7× 285 2.0× 70 0.5× 64 0.5× 55 1.5k
Vanina A. Medina Argentina 22 979 1.3× 327 1.2× 206 1.5× 61 0.4× 68 0.5× 71 1.9k
Marina Bayeva United States 16 830 1.1× 292 1.0× 174 1.2× 57 0.4× 28 0.2× 18 1.8k
Mélanie Di Benedetto France 18 698 0.9× 356 1.3× 235 1.7× 93 0.7× 117 0.9× 33 1.3k
Kimiko Ishiguro United States 25 822 1.1× 145 0.5× 251 1.8× 32 0.2× 77 0.6× 71 1.5k
Vanessa Rausch Germany 22 717 1.0× 437 1.5× 299 2.1× 53 0.4× 25 0.2× 53 1.5k
Jessica A. Kilgore United States 11 1.6k 2.1× 291 1.0× 192 1.4× 15 0.1× 81 0.6× 18 2.0k
Elena Di Gennaro Italy 34 1.5k 2.0× 766 2.7× 240 1.7× 42 0.3× 188 1.5× 99 2.7k

Countries citing papers authored by Niels Eckstein

Since Specialization
Citations

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

Fields of papers citing papers by Niels Eckstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niels Eckstein

This figure shows the co-authorship network connecting the top 25 collaborators of Niels Eckstein. A scholar is included among the top collaborators of Niels Eckstein 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 Niels Eckstein. Niels Eckstein 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.
2.
Haas, Bodo, et al.. (2020). Methadone-mediated sensitization of glioblastoma cells is drug and cell line dependent. Journal of Cancer Research and Clinical Oncology. 147(3). 779–792. 5 indexed citations
3.
Eckstein, Niels, et al.. (2019). To switch or not to switch – German physicians´ views on proposed new OTC medicines - Selfcare Journal.
4.
Haas, Bodo, Julia Walther, Gabriele Röhn, et al.. (2018). Inhibition of the PI3K but not the MEK/ERK pathway sensitizes human glioma cells to alkylating drugs. Cancer Cell International. 18(1). 69–69. 31 indexed citations
5.
Haas, Bodo, Konstantin Weber‐Lassalle, Roland Frötschl, & Niels Eckstein. (2016). Is sunitinib a Narrow Therapeutic Index Drug? – A systematic review and in vitro toxicology-analysis of Sunitinib vs. Imatinib in cells from different tissues. Regulatory Toxicology and Pharmacology. 77. 25–34. 7 indexed citations
6.
Eckstein, Niels, et al.. (2014). Systemic therapy of Cushing’s syndrome. Orphanet Journal of Rare Diseases. 9(1). 122–122. 10 indexed citations
7.
Haas, Bodo, et al.. (2014). Efficacy, safety and regulatory status of SGLT2 inhibitors: focus on canagliflozin. Nutrition and Diabetes. 4(11). e143–e143. 83 indexed citations
8.
Eckstein, Niels, et al.. (2014). Clinical pharmacology of tyrosine kinase inhibitors becoming generic drugs: the regulatory perspective. Journal of Experimental & Clinical Cancer Research. 33(1). 15–15. 32 indexed citations
9.
Haas, Bodo, et al.. (2012). Targeting adipose tissue. Diabetology & Metabolic Syndrome. 4(1). 43–43. 31 indexed citations
10.
Eckstein, Niels. (2011). Platinum resistance in breast and ovarian cancer cell lines. Journal of Experimental & Clinical Cancer Research. 30(1). 91–91. 110 indexed citations
11.
Eckstein, Niels, Verena Schneider, Martin Koch, et al.. (2010). Overcoming cisplatin resistance of ovarian cancer cells by targeted liposomes in vitro. International Journal of Pharmaceutics. 389(1-2). 10–17. 69 indexed citations
12.
Eckstein, Niels, Kati Servan, Barbara Hildebrandt, et al.. (2009). Hyperactivation of the Insulin-like Growth Factor Receptor I Signaling Pathway Is an Essential Event for Cisplatin Resistance of Ovarian Cancer Cells. Cancer Research. 69(7). 2996–3003. 134 indexed citations
13.
14.
Eckstein, Niels, Alexandra Hamacher, Kati Servan, et al.. (2008). Acquired cisplatin resistance in the head–neck cancer cell line Cal27 is associated with decreased DKK1 expression and can partially be reversed by overexpression of DKK1. International Journal of Cancer. 123(9). 2013–2019. 66 indexed citations
15.
Eckstein, Niels, Kati Servan, Luc Girard, et al.. (2007). Epidermal Growth Factor Receptor Pathway Analysis Identifies Amphiregulin as a Key Factor for Cisplatin Resistance of Human Breast Cancer Cells. Journal of Biological Chemistry. 283(2). 739–750. 85 indexed citations
16.
Morsczeck, Christian, Werner Götz, A. Heredia, et al.. (2005). In vitro differentiation of human dental follicle cells with dexamethasone and insulin. Cell Biology International. 29(7). 567–575. 100 indexed citations
17.
Kassack, Matthias U., et al.. (2002). Functional Screening of G Protein–Coupled Receptors by Measuring Intracellular Calcium with a Fluorescence Microplate Reader. SLAS DISCOVERY. 7(3). 233–246. 65 indexed citations
18.
Eckstein, Niels, et al.. (2002). Allosteric Modulation of Muscarinic Receptor Signaling: Alcuronium-Induced Conversion of Pilocarpine from an Agonist into an Antagonist. Journal of Pharmacology and Experimental Therapeutics. 301(2). 720–728. 35 indexed citations
19.
Kassack, Matthias U., et al.. (2002). Pharmacological characterization of the benz[ d ]indolo[2,3- g ]azecine LE300, a novel type of a nanomolar dopamine receptor antagonist. Naunyn-Schmiedeberg s Archives of Pharmacology. 366(6). 543–550. 28 indexed citations
20.

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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