Christian Staerk

413 total citations
29 papers, 162 citations indexed

About

Christian Staerk is a scholar working on Statistics and Probability, Artificial Intelligence and Surgery. According to data from OpenAlex, Christian Staerk has authored 29 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 5 papers in Artificial Intelligence and 4 papers in Surgery. Recurrent topics in Christian Staerk's work include Statistical Methods and Inference (9 papers), Bayesian Methods and Mixture Models (4 papers) and Genetic and phenotypic traits in livestock (4 papers). Christian Staerk is often cited by papers focused on Statistical Methods and Inference (9 papers), Bayesian Methods and Mixture Models (4 papers) and Genetic and phenotypic traits in livestock (4 papers). Christian Staerk collaborates with scholars based in Germany, Netherlands and United States. Christian Staerk's co-authors include Andreas Mayr, Hannah Klinkhammer, Nadja Klein, Carlo Maj, Leonie Weinhold, Stephanie Titze, Ioannis Ntzoufras, Anja Hilbert, Matthias W. Beckmann and Johannes Sander and has published in prestigious journals such as Scientific Reports, American Journal of Epidemiology and Statistics in Medicine.

In The Last Decade

Christian Staerk

27 papers receiving 159 citations

Peers

Christian Staerk

Nicholas Link United States

Anthony G. Sena United States

Melissa K. Sharp United Kingdom

Daniel C. Cannon United States

Zachary H. Strasser United States

Anthony Shek United Kingdom

I. Yu Japan

Russell J. Bowater United Kingdom

Željko Kraljević United Kingdom

Yan Chak Li United States

Nicholas Link United States

Christian Staerk

8 ×0.2

32 ×1.4

37 ×1.9

2 ×0.1

4 ×0.2

Citations per year, relative to Christian Staerk Christian Staerk (= 1×) peers Nicholas Link

Countries citing papers authored by Christian Staerk

Since Specialization

Citations

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

Fields of papers citing papers by Christian Staerk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Staerk

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

All Works

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20 of 20 papers shown

Maciaczyk, Jarek, Dave Mugan, Andreas Mayr, et al.. (2024). A Prospective Single-center Pilot Study on the Use of Closed-loop Spinal Cord Stimulation to Treat Chronic Pain Associated With Raynaud’s Phenomenon. Neuromodulation Technology at the Neural Interface. 27(8). 1457–1469. 1 indexed citations

Condic, Mateja, Christian Staerk, Thomas Zillinger, et al.. (2024). Immune Profiling of Vulvar Squamous Cell Cancer Discovers a Macrophage-rich Subtype Associated with Poor Prognosis. Cancer Research Communications. 4(3). 861–875. 1 indexed citations

Staerk, Christian, et al.. (2024). Generalizability of polygenic prediction models: how is the R2 defined on test data?. BMC Medical Genomics. 17(1). 132–132. 3 indexed citations

Staerk, Christian, et al.. (2023). Robust gradient boosting for generalized additive models for location, scale and shape. Advances in Data Analysis and Classification. 1 indexed citations

Schäfer, Valentin Sebastian, Florian Recker, Christian Putensen, et al.. (2023). Lung Ultrasound in Predicting Outcomes in Patients with COVID-19 Treated with Extracorporeal Membrane Oxygenation. Viruses. 15(9). 1796–1796. 2 indexed citations

Heister, Ulrich, et al.. (2023). Prehospital Misdiagnosed Acute Coronary Syndrome—Incidence, Discriminating Features, and Differential Diagnoses. Reviews in Cardiovascular Medicine. 24(3). 75–75.

Klinkhammer, Hannah, Christian Staerk, Carlo Maj, Peter Krawitz, & Andreas Mayr. (2023). A statistical boosting framework for polygenic risk scores based on large-scale genotype data. Frontiers in Genetics. 13. 1076440–1076440. 6 indexed citations

Staerk, Christian, et al.. (2023). Recent Methodological Trends in Epidemiology: No Need for Data-Driven Variable Selection?. American Journal of Epidemiology. 193(2). 370–376. 3 indexed citations

Staerk, Christian, et al.. (2022). Robust statistical boosting with quantile-based adaptive loss functions. The International Journal of Biostatistics. 19(1). 111–129. 4 indexed citations

10.

Condic, Mateja, Thore Thiesler, Kirsten Kübler, et al.. (2022). N6-methyladenosine (m6A) RNA modification is dysregulated in endometrial cancer. Geburtshilfe und Frauenheilkunde. 82(10). e57–e57. 1 indexed citations

11.

Mayr, Andreas, et al.. (2022). Estimating the course of the COVID-19 pandemic in Germany via spline-based hierarchical modelling of death counts. Scientific Reports. 12(1). 9784–9784. 1 indexed citations

12.

Gessner, Arne, Agnes Bosch, Dennis Kannenkeril, et al.. (2022). Effects of treatment with SGLT-2 inhibitors on arginine-related cardiovascular and renal biomarkers. Cardiovascular Diabetology. 21(1). 4–4. 9 indexed citations

13.

Condic, Mateja, Eva K. Egger, Peter Hohenberger, et al.. (2022). Clinical value of pre-operative scoring systems to predict leiomyosarcoma: results of a validation study in 177 patients from the NOGGO-REGSA Registry. International Journal of Gynecological Cancer. 32(5). 619–625. 2 indexed citations

14.

Schneider, Michael, Andreas Mayr, Christian Staerk, et al.. (2022). Lack of evidence for effects of lockdowns on stillbirth rates during the SARS-CoV-2 pandemic in Bavaria: analysis of the Bavarian perinatal survey from 2010 to 2020. Archives of Gynecology and Obstetrics. 308(5). 1457–1462. 2 indexed citations

15.

Guttenthaler, Vera, Tobias Hilbert, Christian Staerk, et al.. (2022). PRe-Operative Prediction of postoperative DElirium by appropriate SCreening (PROPDESC) development and validation of a pragmatic POD risk screening score based on routine preoperative data. Journal of Clinical Anesthesia. 78. 110684–110684. 14 indexed citations

16.

Maj, Carlo, Christian Staerk, Oleg Borisov, et al.. (2022). Statistical learning for sparser fine‐mapped polygenic models: The prediction of LDL‐cholesterol. Genetic Epidemiology. 46(8). 589–603. 6 indexed citations

17.

Staerk, Christian, et al.. (2021). Estimating effective infection fatality rates during the course of the COVID-19 pandemic in Germany. PUBLISSO (German National Library of Medicine). 28 indexed citations

18.

Staerk, Christian, et al.. (2021). Ten German versions of Rey’s auditory verbal learning test: Age and sex effects in 4,000 adults of the Rhineland Study. Journal of Clinical and Experimental Neuropsychology. 43(6). 637–653. 8 indexed citations

19.

Staerk, Christian & Andreas Mayr. (2021). Randomized boosting with multivariable base-learners for high-dimensional variable selection and prediction. BMC Bioinformatics. 22(1). 441–441. 6 indexed citations

20.

Kehl, Sven, Patrick Stelzl, Andreas Mayr, et al.. (2020). Influence of Sonographic Fetal Weight Estimation Inaccuracies in Macrosomia on Perinatal Outcome. Ultraschall in der Medizin - European Journal of Ultrasound. 43(5). e56–e64. 9 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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