Daniela Dunkler
Impact in
- Internal Medicine top 0.2%
- Venous Thromboembolism Diagnosis and Management
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
Papers in
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- Venous Thromboembolism Diagnosis and Management 16
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- Statistical Methods and Inference 11
- Co-authors
- Georg Heinze (28 shared papers)Christine Wallisch (7 shared papers)Ingrid Pabinger (21 shared papers)Cihan Ay (16 shared papers)Christoph Carl Zielinski (15 shared papers)Ralph Simanek (10 shared papers)Rainer Vormittag (15 shared papers)Peter Quehenberger (9 shared papers)
In The Last Decade
Daniela Dunkler
105 papers receiving 7.4k citations
Daniela Dunkler's Hit Papers
Peers
Comparison fields: 5 of 191
- Internal Medicine 1.9k
- Nephrology 519
- Hematology 664
- Transplantation 120
- Oncology 688
Countries citing papers authored by Daniela Dunkler
This map shows the geographic impact of Daniela Dunkler'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 Daniela Dunkler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Dunkler more than expected).
Fields of papers citing papers by Daniela Dunkler
This network shows the impact of papers produced by Daniela Dunkler. 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 Daniela Dunkler. The network helps show where Daniela Dunkler may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Dunkler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Variable selection – A review and recommendations for the practicing statistician Hit paper breakdown → | 2018 | 1135 |
| 2 | Prediction of venous thromboembolism in cancer patients Hit paper breakdown → | 2010 | 638 |
| 3 | Five myths about variable selection Hit paper breakdown → | 2016 | 412 |
| 4 | 2008 | 359 | |
| 5 | 2009 | 349 | |
| 6 | 2012 | 275 | |
| 7 | 2007 | 230 | |
| 8 | 2011 | 223 | |
| 9 | 2009 | 209 | |
| 10 | 2011 | 198 | |
| 11 | 2020 | 178 | |
| 12 | 2014 | 155 | |
| 13 | 2009 | 151 | |
| 14 | 2009 | 133 | |
| 15 | 2014 | 124 | |
| 16 | 2012 | 117 | |
| 17 | 2013 | 116 | |
| 18 | 2015 | 111 | |
| 19 | 2009 | 105 | |
| 20 | 2018 | 105 |
About Daniela Dunkler
Daniela Dunkler is a scholar working on Internal Medicine, Statistics and Probability, Nephrology, Surgery and Transplantation, having authored 107 papers that have together received 7.6k indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (16 papers), Transplantation: Methods and Outcomes (16 papers), Statistical Methods and Inference (11 papers), Chronic Kidney Disease and Diabetes (7 papers), Renal Transplantation Outcomes and Treatments (6 papers), Colorectal Cancer Screening and Detection (4 papers), Thyroid and Parathyroid Surgery (4 papers) and Platelet Disorders and Treatments (4 papers). The work is most often cited by research in Internal Medicine (1.9k citations), Nephrology (519 citations), Hematology (664 citations), Transplantation (120 citations) and Oncology (688 citations). Daniela Dunkler has collaborated with scholars based in Austria, Germany and Canada. Frequent co-authors include Georg Heinze, Christine Wallisch, Ingrid Pabinger, Cihan Ay, Christoph Carl Zielinski, Ralph Simanek, Rainer Vormittag, Peter Quehenberger, Christine Marosi and Oswald F Wagner. Their work appears in journals such as The Journal of Heart and Lung Transplantation, Transplantation, PLoS ONE, Blood and Transplant International.
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.