Andrew P. Landstrom
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 5%
- Genetics top 10%
- Cellular and Molecular Neuroscience top 10%
- Epidemiology
- Co-authors
- Xander H.T. WehrensMichael J. AckermanDobromir DobrevDavid L. BeaversSayali S. DixitAlejandro GarbinoWei WangChristopher Semsarian
- Topics
- Cardiomyopathy and Myosin Studies (46 papers)Cardiac electrophysiology and arrhythmias (30 papers)Cardiovascular Effects of Exercise (24 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Andrew P. Landstrom
87 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Cardiology and Cardiovascular Medicine 2.1k
- Molecular Biology 1.5k
- Genetics 247
- Cellular and Molecular Neuroscience 231
- Epidemiology 156
Countries citing papers authored by Andrew P. Landstrom
This map shows the geographic impact of Andrew P. Landstrom'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 Andrew P. Landstrom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew P. Landstrom more than expected).
Fields of papers citing papers by Andrew P. Landstrom
This network shows the impact of papers produced by Andrew P. Landstrom. 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 Andrew P. Landstrom. The network helps show where Andrew P. Landstrom may publish in the future.
Co-authorship network of co-authors of Andrew P. Landstrom
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew P. Landstrom. A scholar is included among the top collaborators of Andrew P. Landstrom 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 Andrew P. Landstrom. Andrew P. Landstrom is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 21 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 24 | |
| 11 | 45 | |
| 12 | 12 | |
| 13 | 58 | |
| 14 | 17 | |
| 15 | 3 | |
| 16 | 18 | |
| 17 | Genetic Testing for Inherited Cardiovascular Diseases: A Scientific Statement From the American Heart Associationbreakdown → | 211 |
| 18 | 198 | |
| 19 | Abstract 539: Molecular and Functional Characterization of Novel Hypertrophic Cardiomyopathy Susceptibility Mutations in TNNC1-Encoded Troponin C | 1 |
| 20 | 10 |
About Andrew P. Landstrom
Andrew P. Landstrom is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Genetics, having authored 96 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (46 papers), Cardiac electrophysiology and arrhythmias (30 papers) and Cardiovascular Effects of Exercise (24 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.1k citations), Molecular Biology (1.5k citations) and Sensory Systems (92 citations). Andrew P. Landstrom has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Xander H.T. Wehrens, Michael J. Ackerman, Dobromir Dobrev, David L. Beavers, Sayali S. Dixit, Alejandro Garbino, Wei Wang, Christopher Semsarian, J. Martijn Bos and Ralph J. van Oort. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Nature Communications.
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.