Mark Luedde
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 5%
Papers in
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- Heart Failure Treatment and Management 6
- Cardiovascular Function and Risk Factors 4
- Cardiovascular Effects of Exercise 3
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- MicroRNA in disease regulation 11
- Co-authors
- Norbert Frey (26 shared papers)Tom Luedde (48 shared papers)Christoph Roderburg (26 shared papers)Mihael Vucur (23 shared papers)Christian Trautwein (26 shared papers)Frank Tacke (26 shared papers)Hugo A. Katus (10 shared papers)David Vargas Cardenas (14 shared papers)
- Journals
- Journal of Clinical Medicine (6 papers)Disease Markers (5 papers)PLoS ONE (4 papers)Clinical Research in Cardiology (3 papers)Scientific Reports (3 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Mark Luedde
75 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 115
- Cancer Research 611
- Hepatology 162
- Cardiology and Cardiovascular Medicine 433
- Molecular Biology 1.3k
- Epidemiology 508
Countries citing papers authored by Mark Luedde
This map shows the geographic impact of Mark Luedde'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 Mark Luedde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Luedde more than expected).
Fields of papers citing papers by Mark Luedde
This network shows the impact of papers produced by Mark Luedde. 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 Mark Luedde. The network helps show where Mark Luedde may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Luedde, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 263 | |
| 2 | 2014 | 243 | |
| 3 | 2017 | 238 | |
| 4 | 2011 | 169 | |
| 5 | 2013 | 139 | |
| 6 | 2013 | 139 | |
| 7 | 2014 | 112 | |
| 8 | 2012 | 106 | |
| 9 | 2014 | 104 | |
| 10 | 2013 | 104 | |
| 11 | 2012 | 92 | |
| 12 | 2021 | 81 | |
| 13 | 2016 | 61 | |
| 14 | 2010 | 56 | |
| 15 | 2011 | 54 | |
| 16 | 2007 | 50 | |
| 17 | 2010 | 45 | |
| 18 | 2020 | 41 | |
| 19 | 2015 | 38 | |
| 20 | 2015 | 36 |
About Mark Luedde
Mark Luedde is a scholar working on Cardiology and Cardiovascular Medicine, Cancer Research, Molecular Biology, Epidemiology and Oncology, having authored 76 papers that have together received 2.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (11 papers), Heart Failure Treatment and Management (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Bone and Dental Protein Studies (4 papers), Cardiovascular Function and Risk Factors (4 papers), Signaling Pathways in Disease (3 papers), Cardiovascular Effects of Exercise (3 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Cancer Research (611 citations), Hepatology (162 citations), Cardiology and Cardiovascular Medicine (433 citations), Molecular Biology (1.3k citations) and Epidemiology (508 citations). Mark Luedde has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Norbert Frey, Tom Luedde, Christoph Roderburg, Mihael Vucur, Christian Trautwein, Frank Tacke, Hugo A. Katus, David Vargas Cardenas, Alexander Koch and Jérémie Gautheron. Their work appears in journals such as Journal of Clinical Medicine, Disease Markers, PLoS ONE, Clinical Research in Cardiology and Scientific Reports.
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.