Margot Egger
Impact in
- Immunology top 10%
- IL-33, ST2, and ILC Pathways
- Galectins and Cancer Biology
-
- Acute Myocardial Infarction Research
- Heart Failure Treatment and Management
Papers in
- Immunology 12
- IL-33, ST2, and ILC Pathways 8
- Galectins and Cancer Biology 2
-
- COVID-19 Clinical Research Studies 3
- SARS-CoV-2 and COVID-19 Research 3
- SARS-CoV-2 detection and testing 2
- Co-authors
- Benjamin Dieplinger (29 shared papers)Thomas Mueller (16 shared papers)Meinhard Haltmayer (11 shared papers)Christian Gabriel (6 shared papers)Martin Clodi (11 shared papers)Josef R. Patsch (5 shared papers)Rudolf Kirchmair (5 shared papers)Peter Schratzberger (5 shared papers)
In The Last Decade
Margot Egger
41 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 99
- Immunology 286
- Cardiology and Cardiovascular Medicine 172
- Biological Psychiatry 16
- Cellular and Molecular Neuroscience 124
- Infectious Diseases 121
Countries citing papers authored by Margot Egger
This map shows the geographic impact of Margot Egger'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 Margot Egger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margot Egger more than expected).
Fields of papers citing papers by Margot Egger
This network shows the impact of papers produced by Margot Egger. 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 Margot Egger. The network helps show where Margot Egger may publish in the future.
Co-authors
The 25 scholars most cited alongside Margot Egger, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 103 | |
| 2 | 2015 | 95 | |
| 3 | 2010 | 87 | |
| 4 | 2020 | 86 | |
| 5 | 2004 | 79 | |
| 6 | 2008 | 76 | |
| 7 | 2007 | 62 | |
| 8 | 2004 | 59 | |
| 9 | 2009 | 46 | |
| 10 | 2013 | 44 | |
| 11 | 2017 | 43 | |
| 12 | 2017 | 39 | |
| 13 | 2015 | 35 | |
| 14 | 2020 | 34 | |
| 15 | 2021 | 34 | |
| 16 | 2014 | 29 | |
| 17 | 2021 | 28 | |
| 18 | 2011 | 26 | |
| 19 | 2010 | 25 | |
| 20 | 2016 | 24 |
About Margot Egger
Margot Egger is a scholar working on Immunology, Infectious Diseases, Hematology, Critical Care and Intensive Care Medicine and Pathology and Forensic Medicine, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include IL-33, ST2, and ILC Pathways (8 papers), COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Acute Myocardial Infarction Research (3 papers), Galectins and Cancer Biology (2 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (2 papers), Sepsis Diagnosis and Treatment (2 papers) and SARS-CoV-2 detection and testing (2 papers). The work is most often cited by research in Immunology (286 citations), Cardiology and Cardiovascular Medicine (172 citations), Biological Psychiatry (16 citations), Cellular and Molecular Neuroscience (124 citations) and Infectious Diseases (121 citations). Margot Egger has collaborated with scholars based in Austria, Italy and Germany. Frequent co-authors include Benjamin Dieplinger, Thomas Mueller, Meinhard Haltmayer, Christian Gabriel, Martin Clodi, Josef R. Patsch, Rudolf Kirchmair, Peter Schratzberger, Werner Poelz and Markus Theurl. Their work appears in journals such as Clinica Chimica Acta, Clinical Chemistry and Laboratory Medicine (CCLM), Circulation, Clinical Chemistry and Circulation Research.
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.