Christine Wallisch

5.3k total citations · 1 hit paper
18 papers, 1.1k citations indexed

About

Christine Wallisch is a scholar working on Public Health, Environmental and Occupational Health, Statistics and Probability and Transplantation. According to data from OpenAlex, Christine Wallisch has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Public Health, Environmental and Occupational Health, 5 papers in Statistics and Probability and 4 papers in Transplantation. Recurrent topics in Christine Wallisch's work include Statistical Methods and Bayesian Inference (4 papers), Renal Transplantation Outcomes and Treatments (4 papers) and Statistical Methods and Inference (3 papers). Christine Wallisch is often cited by papers focused on Statistical Methods and Bayesian Inference (4 papers), Renal Transplantation Outcomes and Treatments (4 papers) and Statistical Methods and Inference (3 papers). Christine Wallisch collaborates with scholars based in Austria, Germany and Netherlands. Christine Wallisch's co-authors include Georg Heinze, Daniela Dunkler, Maria Haller, Rainer Oberbauer, Susanne Strohmaier, Angelika Geroldinger, Michael Kammer, Geraldine Rauch, Wolfgang C. Winkelmayer and Claus Rinner and has published in prestigious journals such as PLoS ONE, Scientific Reports and Critical Care Medicine.

In The Last Decade

Christine Wallisch

16 papers receiving 1.1k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Variable selection – A review and recommendations for the practicing statistician

2018 945 citations Georg Heinze, Christine Wallisch et al. Biometrical Journal profile →

Peers

Countries citing papers authored by Christine Wallisch

Since Specialization

Citations

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

Fields of papers citing papers by Christine Wallisch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Wallisch

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

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	Machine learning-based tool to assess risk of hemodynamically significant PDA in extremely premature infants 2025 ·Pediatric Research ·(unknown), (unknown), Lukas Unterasinger, Christine Wallisch, Angelika Berger, Lukas Wisgrill, Georg Dorffner	0
2	Evaluating variable selection methods for multivariable regression models: A simulation study protocol 2024 ·PLoS ONE ·Theresa Ullmann, Georg Heinze, (unknown), Christine Wallisch, Daniela Dunkler, (unknown)	10
3	Prediction models for living organ transplantation are poorly developed, reported, and validated: a systematic review 2022 ·Journal of Clinical Epidemiology ·Maria Haller, Constantin Aschauer, Christine Wallisch, Karen Leffondré, Maarten van Smeden, Rainer Oberbauer, Georg Heinze	7
4	Biomarker-Based Models for Preoperative Assessment of Adnexal Mass: A Multicenter Validation Study 2022 ·Cancers ·Rafał Watrowski, Eva Obermayr, Christine Wallisch, Stefanie Aust, Nicole Concin, Elena Ioana Braicu, Toon Van Gorp, Annette Hasenburg, Jalid Sehouli, Ignace Vergote, Robert Zeillinger	10
5	Review of guidance papers on regression modeling in statistical series of medical journals 2022 ·PLoS ONE ·Christine Wallisch, (unknown), (unknown), Nadja Klein, Willi Sauerbrei, Ewout W. Steyerberg, Georg Heinze, Geraldine Rauch, (unknown)	19
6	Survival Benefit of First Single-Organ Deceased Donor Kidney Transplantation Compared With Long-term Dialysis Across Ages in Transplant-Eligible Patients With Kidney Failure 2022 ·JAMA Network Open ·Susanne Strohmaier, Christine Wallisch, Michael Kammer, Angelika Geroldinger, Georg Heinze, Rainer Oberbauer, Maria Haller	45
7	The roles of predictors in cardiovascular risk models - a question of modeling culture? 2021 ·BMC Medical Research Methodology ·Christine Wallisch, (unknown), Daniela Dunkler, Maria Haller, Matthias Samwald, Georg Dorffner, Georg Heinze	5
8	Development and internal validation of an algorithm to predict intraoperative risk of inadvertent hypothermia based on preoperative data 2021 ·Scientific Reports ·Christine Wallisch, Sebastian Zeiner, (unknown), (unknown), Oliver Kimberger	8
9	Survival Benefit of Kidney Transplantation Compared to Long-Term Dialysis Across Ages: A Retrospective Cohort Study Using Target Trial Emulation 2021 ·SSRN Electronic Journal ·Christine Wallisch, Susanne Strohmaier, Michael Kammer, Angelika Geroldinger, Georg Heinze, Rainer Oberbauer, Maria Haller	0
10	Systematic review of education and practical guidance on regression modeling for medical researchers who lack a strong statistical background: Study protocol 2020 ·PLoS ONE ·(unknown), Christine Wallisch, Nadja Klein, (unknown), Willi Sauerbrei, Ewout W. Steyerberg, Georg Heinze, Geraldine Rauch, (unknown)	1
11	Re-estimation improved the performance of two Framingham cardiovascular risk equations and the Pooled Cohort equations: A nationwide registry analysis 2020 ·Scientific Reports ·Christine Wallisch, Georg Heinze, Claus Rinner, Gerald Mundigler, Wolfgang C. Winkelmayer, Daniela Dunkler	9
12	Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection 2020 ·Laure Wynants, Ben Van Calster, (unknown), (unknown), (unknown), Margaretha de Vos, Maria Haller, Georg Heinze, (unknown), Ruth Riley, Ewoud Schuit, (unknown), (unknown), Ewout W. Steyerberg, Christine Wallisch, Maarten van Smeden	19
13	Predicting donor, recipient and graft survival in living donor kidney transplantation to inform pretransplant counselling: the donor and recipient linked iPREDICTLIVING tool – a retrospective study 2020 ·Transplant International ·Maria Haller, Christine Wallisch, Geir Mjøen, Hallvard Holdaas, Daniela Dunkler, Georg Heinze, Rainer Oberbauer	5
14	Proteomics-Enriched Prediction Model for Poor Neurologic Outcome in Cardiac Arrest Survivors* 2020 ·Critical Care Medicine ·Klaus Distelmaier, Besnik Muqaku, Raphael Wurm, Henrike Arfsten, Stefan Seidel, Gábor G. Kovács, Rupert L. Mayer, Thomas Szekeres, Christine Wallisch, Pia Hubner, Georg Goliasch, Georg Heinze, Gottfried Heinz, Fritz Sterz, Christopher Gerner, Christopher Adlbrecht	16
15	Selection of variables for multivariable models: Opportunities and limitations in quantifying model stability by resampling 2020 ·Statistics in Medicine ·Christine Wallisch, Daniela Dunkler, Geraldine Rauch, Riccardo De Bin, Georg Heinze	14
16	Variable selection – A review and recommendations for the practicing statistician breakdown → 2018 ·Biometrical Journal ·Georg Heinze, Christine Wallisch, Daniela Dunkler	945
17	External validation of two Framingham cardiovascular risk equations and the Pooled Cohort equations: A nationwide registry analysis 2018 ·International Journal of Cardiology ·Christine Wallisch, Georg Heinze, Claus Rinner, Gerald Mundigler, Wolfgang C. Winkelmayer, Daniela Dunkler	18
18	Chances and challenges of using routine data collections for renal health care research 2015 ·Nephrology Dialysis Transplantation ·Georg Heinze, Christine Wallisch, Alexander Kainz, (unknown), Karen Leffondré, Rainer Oberbauer, Gert Mayer	5

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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