Gus Koerbin
- Cardiology and Cardiovascular Medicine top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery top 10%
- Physiology top 10%
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- Peter E. HickmanJulia M. PotterEmma SouthcottWalter P. AbhayaratnaJillian R. TateMichael S. RobertsCon AroneyAlan H.B. Wu
- Topics
- Acute Myocardial Infarction Research (24 papers)Clinical Laboratory Practices and Quality Control (12 papers)Heart Failure Treatment and Management (11 papers)
- Cited by
- Cardiology and Cardiovascular MedicineStatistics, Probability and UncertaintyInternal Medicine
- Journals
- Journal of the American College of CardiologyThe Journal of PhysiologyThe American Journal of Cardiology
- Partner nations
- AustraliaUnited StatesSweden
In The Last Decade
Gus Koerbin
51 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 100
- Cardiology and Cardiovascular Medicine 829
- Radiology, Nuclear Medicine and Imaging 329
- Surgery 306
- Physiology 226
- Statistics, Probability and Uncertainty 147
Countries citing papers authored by Gus Koerbin
This map shows the geographic impact of Gus Koerbin'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 Gus Koerbin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gus Koerbin more than expected).
Fields of papers citing papers by Gus Koerbin
This network shows the impact of papers produced by Gus Koerbin. 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 Gus Koerbin. The network helps show where Gus Koerbin may publish in the future.
Co-authorship network of co-authors of Gus Koerbin
This figure shows the co-authorship network connecting the top 25 collaborators of Gus Koerbin. A scholar is included among the top collaborators of Gus Koerbin 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 Gus Koerbin. Gus Koerbin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 8 | |
| 3 | 17 | |
| 4 | 5 | |
| 5 | 32 | |
| 6 | 7 | |
| 7 | Neonatal umbilical cord blood cardiac troponin as reflecting fetal growth, age and well being | 1 |
| 8 | 22 | |
| 9 | 13 | |
| 10 | 10 | |
| 11 | 25 | |
| 12 | 39 | |
| 13 | 1 | |
| 14 | 85 | |
| 15 | 25 | |
| 16 | 10 | |
| 17 | 7 | |
| 18 | 55 | |
| 19 | 209 | |
| 20 | 0 |
About Gus Koerbin
Gus Koerbin is a scholar working on Cardiology and Cardiovascular Medicine, Statistics, Probability and Uncertainty and Physiology, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (24 papers), Clinical Laboratory Practices and Quality Control (12 papers) and Heart Failure Treatment and Management (11 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (829 citations), Statistics, Probability and Uncertainty (147 citations) and Internal Medicine (54 citations). Gus Koerbin has collaborated with scholars based in Australia, United States and Sweden. Frequent co-authors include Peter E. Hickman, Julia M. Potter, Emma Southcott, Walter P. Abhayaratna, Jillian R. Tate, Michael S. Roberts, Con Aroney, Alan H.B. Wu, Girish Talaulikar and Darryl McGill. Their work appears in journals such as Journal of the American College of Cardiology, The Journal of Physiology and The American Journal of Cardiology.
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.