León J. De Windt
- Molecular Biology top 0.5%
- Cardiology and Cardiovascular Medicine top 0.5%
- Cancer Research top 0.5%
- Surgery top 2%
- Physiology top 5%
- Co-authors
- Jeffery D. MolkentinPaula A. da Costa MartinsHae W. LimYigal M. PintoOrlando F. BuenoPieter A. DoevendansRoel van der NagelThomas R. Kimball
- Topics
- Signaling Pathways in Disease (36 papers)MicroRNA in disease regulation (28 papers)Circular RNAs in diseases (23 papers)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
León J. De Windt
129 papers receiving 9.0k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Biology 6.5k
- Cardiology and Cardiovascular Medicine 3.4k
- Cancer Research 2.3k
- Surgery 1.1k
- Physiology 653
Countries citing papers authored by León J. De Windt
This map shows the geographic impact of León J. De Windt'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 León J. De Windt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites León J. De Windt more than expected).
Fields of papers citing papers by León J. De Windt
This network shows the impact of papers produced by León J. De Windt. 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 León J. De Windt. The network helps show where León J. De Windt may publish in the future.
Co-authorship network of co-authors of León J. De Windt
This figure shows the co-authorship network connecting the top 25 collaborators of León J. De Windt. A scholar is included among the top collaborators of León J. De Windt 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 León J. De Windt. León J. De Windt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 2 | |
| 3 | 10 | |
| 4 | 6 | |
| 5 | 13 | |
| 6 | 20 | |
| 7 | 32 | |
| 8 | 65 | |
| 9 | 41 | |
| 10 | 10 | |
| 11 | 200 | |
| 12 | Absence of microRNA-155 protects against adverse cardiac inflammation and hypertrophy during pressure overload and prevents heart failure | 2 |
| 13 | 55 | |
| 14 | 27 | |
| 15 | 22 | |
| 16 | 22 | |
| 17 | 35 | |
| 18 | 104 | |
| 19 | 102 | |
| 20 | 103 |
About León J. De Windt
León J. De Windt is a scholar working on Cancer Research, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 129 papers that have together received 9.1k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (36 papers), MicroRNA in disease regulation (28 papers) and Circular RNAs in diseases (23 papers). The work is most often cited by research in Cancer Research (2.3k citations), Cardiology and Cardiovascular Medicine (3.4k citations) and Molecular Biology (6.5k citations). León J. De Windt has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Jeffery D. Molkentin, Paula A. da Costa Martins, Hae W. Lim, Yigal M. Pinto, Orlando F. Bueno, Pieter A. Doevendans, Roel van der Nagel, Thomas R. Kimball, Tyler L. Taigen and Sandra A. Witt. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.