Nathan R. Tucker
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 2%
- Infectious Diseases top 10%
- Neurology top 10%
- Surgery
- Co-authors
- Patrick T. EllinorKenneth B. MarguliesMark ChaffinKenneth BediJiangchuan YeEmily J. TsaiAlessandro ArduiniStephen J. Fleming
- Topics
- Cancer-related gene regulation (7 papers)Single-cell and spatial transcriptomics (6 papers)RNA Research and Splicing (6 papers)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Nathan R. Tucker
39 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 826
- Cardiology and Cardiovascular Medicine 760
- Infectious Diseases 194
- Neurology 125
- Surgery 122
Countries citing papers authored by Nathan R. Tucker
This map shows the geographic impact of Nathan R. Tucker'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 Nathan R. Tucker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan R. Tucker more than expected).
Fields of papers citing papers by Nathan R. Tucker
This network shows the impact of papers produced by Nathan R. Tucker. 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 Nathan R. Tucker. The network helps show where Nathan R. Tucker may publish in the future.
Co-authorship network of co-authors of Nathan R. Tucker
This figure shows the co-authorship network connecting the top 25 collaborators of Nathan R. Tucker. A scholar is included among the top collaborators of Nathan R. Tucker 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 Nathan R. Tucker. Nathan R. Tucker 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 9 | |
| 10 | Single-nucleus profiling of human dilated and hypertrophic cardiomyopathybreakdown → | 180 |
| 11 | 13 | |
| 12 | 4 | |
| 13 | COVID-19 and Cardiovascular Diseasebreakdown → | 251 |
| 14 | Transcriptional and Cellular Diversity of the Human Heartbreakdown → | 332 |
| 15 | 18 | |
| 16 | 53 | |
| 17 | 14 | |
| 18 | 41 | |
| 19 | 51 | |
| 20 | 24 |
About Nathan R. Tucker
Nathan R. Tucker is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Neurology, having authored 42 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer-related gene regulation (7 papers), Single-cell and spatial transcriptomics (6 papers) and RNA Research and Splicing (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (760 citations), Molecular Biology (826 citations) and Infectious Diseases (194 citations). Nathan R. Tucker has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Patrick T. Ellinor, Kenneth B. Margulies, Mark Chaffin, Kenneth Bedi, Jiangchuan Ye, Emily J. Tsai, Alessandro Arduini, Stephen J. Fleming, Sebastian Clauß and Amer-Denis Akkad. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Circulation.
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.