Christine Garnett
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 10%
- Statistics and Probability top 1%
- Computational Theory and Mathematics top 2%
- Oncology top 10%
- Co-authors
- Norman StockbridgeChristoffer W. TornøeBörje DarpöYaning WangLars JohannesenMarek MalíkJeffry FlorianPhilip T. Sager
- Topics
- Cardiac electrophysiology and arrhythmias (45 papers)Receptor Mechanisms and Signaling (17 papers)ECG Monitoring and Analysis (16 papers)
- Cited by
- Cardiology and Cardiovascular MedicineStatistics and ProbabilityComputational Theory and Mathematics
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Christine Garnett
68 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 116
- Cardiology and Cardiovascular Medicine 1.5k
- Molecular Biology 1.1k
- Statistics and Probability 288
- Computational Theory and Mathematics 277
- Oncology 245
Countries citing papers authored by Christine Garnett
This map shows the geographic impact of Christine Garnett'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 Christine Garnett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine Garnett more than expected).
Fields of papers citing papers by Christine Garnett
This network shows the impact of papers produced by Christine Garnett. 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 Christine Garnett. The network helps show where Christine Garnett may publish in the future.
Co-authorship network of co-authors of Christine Garnett
This figure shows the co-authorship network connecting the top 25 collaborators of Christine Garnett. A scholar is included among the top collaborators of Christine Garnett 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 Christine Garnett. Christine Garnett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 10 | |
| 3 | 6 | |
| 4 | 8 | |
| 5 | 18 | |
| 6 | 16 | |
| 7 | 6 | |
| 8 | 13 | |
| 9 | 170 | |
| 10 | 42 | |
| 11 | 6 | |
| 12 | 11 | |
| 13 | 121 | |
| 14 | Abstract 15725: Normal Limits of Variability of Spatial QRS-T Angle and Ventricular Gradient: Analysis of 20 Thorough-QT Studies | 0 |
| 15 | 37 | |
| 16 | 112 | |
| 17 | 24 | |
| 18 | 13 | |
| 19 | 65 | |
| 20 | 85 |
About Christine Garnett
Christine Garnett is a scholar working on Cardiology and Cardiovascular Medicine, Statistics and Probability and Computational Theory and Mathematics, having authored 71 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (45 papers), Receptor Mechanisms and Signaling (17 papers) and ECG Monitoring and Analysis (16 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.5k citations), Statistics and Probability (288 citations) and Computational Theory and Mathematics (277 citations). Christine Garnett has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Norman Stockbridge, Christoffer W. Tornøe, Börje Darpö, Yaning Wang, Lars Johannesen, Marek Malík, Jeffry Florian, Philip T. Sager, David G. Strauss and Richard C. Brundage. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Oncology.
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.