Mario Berger
Impact in
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
Papers in
-
- Hormonal Regulation and Hypertension 4
-
- Heart Failure Treatment and Management 3
- Co-authors
- Günter J. Hämmerling (1 shared paper)Gabriele Bergers (1 shared paper)Ruth Ganß (1 shared paper)Bernd Arnold (1 shared paper)Heide Zerban (1 shared paper)Peter Bannasch (1 shared paper)Tom H. Lindner (5 shared papers)Christoph Wanner (4 shared papers)
- Journals
- Blood (2 papers)Thrombosis and Haemostasis (2 papers)Kidney International (2 papers)JACC Heart Failure (1 paper)Clinical Chemistry (1 paper)
- Partner nations
- GermanyNetherlandsUnited Kingdom
In The Last Decade
Mario Berger
23 papers receiving 576 citations
Peers
Comparison fields: 5 of 79
- Internal Medicine 27
- Nephrology 39
- Cancer Research 76
- Hematology 52
- Genetics 47
Countries citing papers authored by Mario Berger
This map shows the geographic impact of Mario Berger'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 Mario Berger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Berger more than expected).
Fields of papers citing papers by Mario Berger
This network shows the impact of papers produced by Mario Berger. 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 Mario Berger. The network helps show where Mario Berger may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Berger, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 163 | |
| 2 | 2013 | 85 | |
| 3 | 2004 | 71 | |
| 4 | 2004 | 36 | |
| 5 | 2017 | 30 | |
| 6 | 2004 | 26 | |
| 7 | 2003 | 23 | |
| 8 | 2003 | 20 | |
| 9 | 2019 | 20 | |
| 10 | 2015 | 15 | |
| 11 | 2023 | 13 | |
| 12 | 2005 | 13 | |
| 13 | 2024 | 12 | |
| 14 | 2008 | 11 | |
| 15 | 2019 | 11 | |
| 16 | 2018 | 9 | |
| 17 | 2010 | 9 | |
| 18 | 2025 | 4 | |
| 19 | 2025 | 3 | |
| 20 | 2023 | 3 |
About Mario Berger
Mario Berger is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Molecular Biology, Nephrology and Oncology, having authored 24 papers that have together received 581 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (4 papers), Hemophilia Treatment and Research (3 papers), Chronic Kidney Disease and Diabetes (3 papers), Heart Failure Treatment and Management (3 papers), Platelet Disorders and Treatments (3 papers), Sepsis Diagnosis and Treatment (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Renal Diseases and Glomerulopathies (2 papers). The work is most often cited by research in Internal Medicine (27 citations), Nephrology (39 citations), Cancer Research (76 citations), Hematology (52 citations) and Genetics (47 citations). Mario Berger has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Günter J. Hämmerling, Gabriele Bergers, Ruth Ganß, Bernd Arnold, Heide Zerban, Peter Bannasch, Tom H. Lindner, Christoph Wanner, C. M. Schambeck and Ulrich Walter. Their work appears in journals such as Blood, Thrombosis and Haemostasis, Kidney International, JACC Heart Failure and Clinical Chemistry.
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.