Julia Stingl

22.6k total citations · 6 hit papers
210 papers, 11.9k citations indexed

About

Julia Stingl is a scholar working on Oncology, Pharmacology and Molecular Biology. According to data from OpenAlex, Julia Stingl has authored 210 papers receiving a total of 11.9k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Oncology, 48 papers in Pharmacology and 38 papers in Molecular Biology. Recurrent topics in Julia Stingl's work include Pharmacogenetics and Drug Metabolism (48 papers), Cancer Cells and Metastasis (35 papers) and Pharmaceutical studies and practices (22 papers). Julia Stingl is often cited by papers focused on Pharmacogenetics and Drug Metabolism (48 papers), Cancer Cells and Metastasis (35 papers) and Pharmaceutical studies and practices (22 papers). Julia Stingl collaborates with scholars based in Germany, United Kingdom and United States. Julia Stingl's co-authors include Connie J. Eaves, Jane E. Visvader, Mark Shackleton, François Vaillant, Carlos Caldas, Peter Eirew, Joanne T. Emerman, Geoffrey J. Lindeman, Marie-Liesse Asselin-Labat and Gordon K. Smyth and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Julia Stingl

197 papers receiving 11.7k citations

Hit Papers

Generation of a functional mammary gland from a single st... 2006 2026 2012 2019 2006 2006 2015 2010 2016 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Stingl Germany 46 5.6k 5.0k 1.8k 1.8k 1.5k 210 11.9k
Vered Stearns United States 57 6.6k 1.2× 2.9k 0.6× 4.3k 2.4× 1.5k 0.8× 4.6k 2.9× 327 14.0k
Margaret Warner Sweden 70 3.4k 0.6× 5.1k 1.0× 1.4k 0.8× 1.1k 0.6× 8.3k 5.4× 206 18.3k
Raymond C. Harris United States 82 1.8k 0.3× 8.6k 1.7× 1.3k 0.7× 1.3k 0.7× 1.7k 1.1× 334 22.5k
Dao Wen Wang China 73 1.1k 0.2× 9.5k 1.9× 3.0k 1.6× 1.0k 0.6× 1.5k 1.0× 605 21.3k
Doriano Fabbro Switzerland 74 3.7k 0.7× 12.4k 2.5× 1.4k 0.8× 540 0.3× 799 0.5× 223 20.3k
Paul van der Valk Netherlands 80 5.4k 1.0× 5.8k 1.2× 1.1k 0.6× 298 0.2× 584 0.4× 252 19.5k
Scott A. Waldman United States 59 2.4k 0.4× 5.0k 1.0× 646 0.4× 542 0.3× 779 0.5× 346 13.4k
Richard J. Santen United States 78 5.2k 0.9× 6.1k 1.2× 2.9k 1.6× 1.1k 0.6× 10.2k 6.6× 355 19.6k
Laurence M. Demers United States 60 2.4k 0.4× 3.1k 0.6× 1.2k 0.6× 391 0.2× 2.1k 1.4× 347 13.3k
Christopher Southan United Kingdom 50 1.3k 0.2× 7.1k 1.4× 588 0.3× 757 0.4× 674 0.4× 120 15.5k

Countries citing papers authored by Julia Stingl

Since Specialization
Citations

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

Fields of papers citing papers by Julia Stingl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Stingl

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Stingl. A scholar is included among the top collaborators of Julia Stingl 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 Julia Stingl. Julia Stingl 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.
Wotring, Virginia E., Philip M. Williams, Lucia Morbidelli, et al.. (2025). Pharmacological countermeasures for long-duration space missions: addressing cardiovascular challenges and advancing space-adapted healthcare. European Journal of Pharmaceutical Sciences. 209. 107063–107063.
2.
Roeth, Anjali A., Florian Kahles, Thea Laurentius, et al.. (2025). Solanidine‐derived CYP2D6 phenotyping elucidates phenoconversion in multimedicated geriatric patients. British Journal of Clinical Pharmacology. 91(6). 1842–1852. 2 indexed citations
3.
Maurer, Jochen, et al.. (2024). Impact of steroid hormone levels on estradiol‐mediated regulation of cytochrome P450 2B6 compared to 1B1 in breast cancer cells. Basic & Clinical Pharmacology & Toxicology. 135(4). 429–440. 2 indexed citations
4.
Viviani, Roberto, et al.. (2024). Dealing with adverse drug reactions in the context of polypharmacy using regression models. Scientific Reports. 14(1). 27355–27355. 1 indexed citations
5.
Quinete, Natalia, Julia Stingl, Jens Bertram, et al.. (2023). Partial dechlorination of 2,4,4′-trichlorobiphenyl (PCB 28) mediated by recombinant human CYP1A2. Archives of Toxicology. 98(1). 159–163. 4 indexed citations
7.
Desai, Prachi, Anshuman Dasgupta, Alexandros Marios Sofias, et al.. (2023). Transformative Materials for Interfacial Drug Delivery. Advanced Healthcare Materials. 12(20). e2301062–e2301062. 8 indexed citations
8.
Ziegler, Patrick, Roman Tremmel, Jens Rengelshausen, et al.. (2023). Nutrimetric Validation of Solanidine as Dietary‐Derived CYP2D6 Activity Marker In Vivo. Clinical Pharmacology & Therapeutics. 115(2). 309–317. 7 indexed citations
9.
Messina, Irene, et al.. (2022). The gradient model of brain organization in decisions involving “empathy for pain”. Cerebral Cortex. 33(10). 5839–5850. 5 indexed citations
10.
Stingl, Julia, et al.. (2022). Pharmacogenetic Dose Modeling Based on CYP2C19 Allelic Phenotypes. Pharmaceutics. 14(12). 2833–2833. 2 indexed citations
12.
Hein, Sascha, Daniela Bender, Julia Stingl, et al.. (2021). Analysis of BNT162b2‐ and CVnCoV‐elicited sera and of convalescent sera toward SARS‐CoV‐2 viruses. Allergy. 77(7). 2080–2089. 9 indexed citations
13.
Stadler, Nadina, Julia Stingl, Charles F. B. Nhachi, et al.. (2021). Clinically relevant enantiomer specific R‐ and S‐praziquantel pharmacokinetic drug‐drug interactions with efavirenz and ritonavir. Pharmacology Research & Perspectives. 9(3). e00769–e00769. 7 indexed citations
14.
Stingl, Julia, et al.. (2021). Descriptive analysis of adverse drug reaction reports in children and adolescents from Germany: frequently reported reactions and suspected drugs. BMC Pharmacology and Toxicology. 22(1). 56–56. 8 indexed citations
15.
Schmid, Matthias, et al.. (2020). Angioedemas associated with renin-angiotensin system blocking drugs: Comparative analysis of spontaneous adverse drug reaction reports. PLoS ONE. 15(3). e0230632–e0230632. 9 indexed citations
16.
17.
Scholl, Catharina, Michael Steffens, Fabian Elgner, et al.. (2020). Impact of Zika Virus Infection on Human Neural Stem Cell MicroRNA Signatures. Viruses. 12(11). 1219–1219. 20 indexed citations
18.
Sachs, Bernhardt, et al.. (2019). Drug‐induced anaphylactic reactions in children: A retrospective analysis of 159 validated spontaneous reports. Pharmacoepidemiology and Drug Safety. 28(3). 377–388. 13 indexed citations
19.
Hicks, J. Kevin, Katrin Sangkuhl, Jesse J. Swen, et al.. (2017). Clinical pharmacogenetics implementation consortium guideline (CPIC) for CYP2D6 and CYP2C19 genotypes and dosing of tricyclic antidepressants: 2016 update. Data Archiving and Networked Services (DANS). 57 indexed citations
20.
Viviani, Roberto, et al.. (2015). Effect of Cytochrome P450 polymorphism on the action and metabolism of selective serotonin reuptake inhibitors. Expert Opinion on Drug Metabolism & Toxicology. 11(8). 1219–1232. 30 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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