Siegfried Kropf
Impact in
- Neurology top 2%
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Statistical Methods in Clinical Trials 13
-
- Cardiac Valve Diseases and Treatments 11
- Cardiovascular Function and Risk Factors 11
- Co-authors
- Kornelia SmallaHolger HeuerJürgen LäuterClaus LuleyJutta DierkesRita GroschSusanne SchreiterTitus Küehne
- Journals
- Biometrical Journal (11 papers)PLoS ONE (4 papers)Muscle & Nerve (4 papers)Journal of Magnetic Resonance Imaging (4 papers)European Radiology (3 papers)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Siegfried Kropf
165 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 183
- Neurology 479
- Hepatology 230
- Urology 172
- Cardiology and Cardiovascular Medicine 609
- Epidemiology 838
Countries citing papers authored by Siegfried Kropf
This map shows the geographic impact of Siegfried Kropf'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 Siegfried Kropf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siegfried Kropf more than expected).
Fields of papers citing papers by Siegfried Kropf
This network shows the impact of papers produced by Siegfried Kropf. 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 Siegfried Kropf. The network helps show where Siegfried Kropf may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Siegfried Kropf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 11 | |
| 5 | 2020 | 9 | |
| 6 | 2017 | 14 | |
| 7 | 2017 | 64 | |
| 8 | 2016 | 1 | |
| 9 | 2014 | 3 | |
| 10 | 2014 | 2 | |
| 11 | 2012 | 14 | |
| 12 | 2012 | 37 | |
| 13 | 2010 | 101 | |
| 14 | 2010 | 30 | |
| 15 | 2010 | 12 | |
| 16 | 2004 | 126 | |
| 17 | 2004 | 135 | |
| 18 | 2002 | 72 | |
| 19 | 2000 | 72 | |
| 20 | 1988 | 3 |
About Siegfried Kropf
Siegfried Kropf is a scholar working on Statistics and Probability, Cardiology and Cardiovascular Medicine, Hepatology, Applied Microbiology and Biotechnology and Management Science and Operations Research, having authored 173 papers that have together received 4.8k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (13 papers), Cardiac Valve Diseases and Treatments (11 papers), Optimal Experimental Design Methods (11 papers), Cardiovascular Function and Risk Factors (11 papers), Advanced MRI Techniques and Applications (9 papers), Gene expression and cancer classification (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers) and Congenital Heart Disease Studies (7 papers). The work is most often cited by research in Neurology (479 citations), Hepatology (230 citations), Urology (172 citations), Cardiology and Cardiovascular Medicine (609 citations) and Epidemiology (838 citations). Siegfried Kropf has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Kornelia Smalla, Holger Heuer, Jürgen Läuter, Claus Luley, Jutta Dierkes, Rita Grosch, Susanne Schreiter, Titus Küehne, Guochun Ding and Ekkehard Glimm. Their work appears in journals such as Biometrical Journal, PLoS ONE, Muscle & Nerve, Journal of Magnetic Resonance Imaging and European Radiology.
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.