Kai M. Eggers
- Cardiology and Cardiovascular Medicine top 0.5%
- Radiology, Nuclear Medicine and Imaging top 1%
- Surgery top 5%
- Rheumatology top 2%
- Immunology top 5%
- Co-authors
- Bertil LindahlPer VengeLars LindTomas JernbergLars WallentinAnna M. NordenskjöldKai C. WollertJonas Oldgren
- Topics
- Acute Myocardial Infarction Research (76 papers)Cardiac Imaging and Diagnostics (50 papers)Coronary Interventions and Diagnostics (27 papers)
- Cited by
- Cardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and ImagingInternal Medicine
- Partner nations
- SwedenUnited StatesGermany
In The Last Decade
Kai M. Eggers
107 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 111
- Cardiology and Cardiovascular Medicine 2.5k
- Radiology, Nuclear Medicine and Imaging 1.2k
- Surgery 724
- Rheumatology 471
- Immunology 465
Countries citing papers authored by Kai M. Eggers
This map shows the geographic impact of Kai M. Eggers'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 Kai M. Eggers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai M. Eggers more than expected).
Fields of papers citing papers by Kai M. Eggers
This network shows the impact of papers produced by Kai M. Eggers. 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 Kai M. Eggers. The network helps show where Kai M. Eggers may publish in the future.
Co-authorship network of co-authors of Kai M. Eggers
This figure shows the co-authorship network connecting the top 25 collaborators of Kai M. Eggers. A scholar is included among the top collaborators of Kai M. Eggers based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kai M. Eggers. Kai M. Eggers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 18 | |
| 7 | 7 | |
| 8 | 62 | |
| 9 | 10 | |
| 10 | 15 | |
| 11 | 1 | |
| 12 | 24 | |
| 13 | Defining acute myocardial infarction | 2 |
| 14 | 52 | |
| 15 | 0 | |
| 16 | Cardiac troponin I, NT-proBNP and galactin-3 are elevated in patients with unrecognized myocardial infarction detected by cardiac magnetic resonance imaging | 4 |
| 17 | 111 | |
| 18 | 14 | |
| 19 | 18 | |
| 20 | 130 |
About Kai M. Eggers
Kai M. Eggers is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Internal Medicine, having authored 112 papers that have together received 3.4k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (76 papers), Cardiac Imaging and Diagnostics (50 papers) and Coronary Interventions and Diagnostics (27 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.5k citations), Radiology, Nuclear Medicine and Imaging (1.2k citations) and Internal Medicine (152 citations). Kai M. Eggers has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Bertil Lindahl, Per Venge, Lars Lind, Tomas Jernberg, Lars Wallentin, Anna M. Nordenskjöld, Kai C. Wollert, Jonas Oldgren, Tibor Kempf and Tomasz Baron. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.
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.