Benjamin Dieplinger
Impact in
-
- Heart Failure Treatment and Management
- Acute Myocardial Infarction Research
- Cardiovascular Function and Risk Factors
- Immunology top 5%
- IL-33, ST2, and ILC Pathways
Papers in
- Surgery 24
- Peripheral Artery Disease Management 8
- Lipoproteins and Cardiovascular Health 8
- Eosinophilic Esophagitis 6
- Immunology 22
- IL-33, ST2, and ILC Pathways 18
- Galectins and Cancer Biology 3
- Co-authors
- Thomas Mueller (57 shared papers)Meinhard Haltmayer (42 shared papers)Werner Poelz (32 shared papers)Alfons Gegenhuber (14 shared papers)Margot Egger (28 shared papers)Hans Dieplinger (16 shared papers)Christian Gabriel (8 shared papers)Richard Pacher (3 shared papers)
In The Last Decade
Benjamin Dieplinger
96 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 116
- Cardiology and Cardiovascular Medicine 929
- Immunology 801
- Internal Medicine 67
- Surgery 728
- Rheumatology 221
Countries citing papers authored by Benjamin Dieplinger
This map shows the geographic impact of Benjamin Dieplinger'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 Benjamin Dieplinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Dieplinger more than expected).
Fields of papers citing papers by Benjamin Dieplinger
This network shows the impact of papers produced by Benjamin Dieplinger. 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 Benjamin Dieplinger. The network helps show where Benjamin Dieplinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Dieplinger, 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 198 | |
| 2 | 2007 | 183 | |
| 3 | 2018 | 154 | |
| 4 | 2008 | 149 | |
| 5 | 2014 | 117 | |
| 6 | 2005 | 105 | |
| 7 | 2014 | 102 | |
| 8 | 2015 | 94 | |
| 9 | 2015 | 91 | |
| 10 | 2004 | 83 | |
| 11 | 2007 | 82 | |
| 12 | 2014 | 79 | |
| 13 | 2007 | 77 | |
| 14 | 2020 | 75 | |
| 15 | 2012 | 74 | |
| 16 | 2009 | 73 | |
| 17 | 2019 | 70 | |
| 18 | 2008 | 66 | |
| 19 | 2007 | 63 | |
| 20 | 2005 | 55 |
About Benjamin Dieplinger
Benjamin Dieplinger is a scholar working on Surgery, Immunology, Cardiology and Cardiovascular Medicine, Molecular Biology and Epidemiology, having authored 99 papers that have together received 3.5k indexed citations. Recurring topics across this work include IL-33, ST2, and ILC Pathways (18 papers), Peripheral Artery Disease Management (8 papers), Lipoproteins and Cardiovascular Health (8 papers), Eosinophilic Esophagitis (6 papers), Heart Failure Treatment and Management (6 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Acute Myocardial Infarction Research (4 papers) and Galectins and Cancer Biology (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (929 citations), Immunology (801 citations), Internal Medicine (67 citations), Surgery (728 citations) and Rheumatology (221 citations). Benjamin Dieplinger has collaborated with scholars based in Austria, Germany and Italy. Frequent co-authors include Thomas Mueller, Meinhard Haltmayer, Werner Poelz, Alfons Gegenhuber, Margot Egger, Hans Dieplinger, Christian Gabriel, Richard Pacher, Florian Kronenberg and Joachim Struck. Their work appears in journals such as Clinica Chimica Acta, Clinical Chemistry, Clinical Chemistry and Laboratory Medicine (CCLM), Atherosclerosis and Clinical Biochemistry.
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.