Fernando C. Reinach
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 1%
- Cell Biology top 5%
- Cellular and Molecular Neuroscience top 10%
- Atomic and Molecular Physics, and Optics top 10%
- Co-authors
- Chuck S. FarahDonald A. FischmanLawrence B. SmillieAlexander R. MacLeodKevin T. VaughanFranz E. WeberJohn Kendrick‐JonesΤοmoh Masaki
- Topics
- Cardiomyopathy and Myosin Studies (29 papers)RNA and protein synthesis mechanisms (16 papers)Muscle Physiology and Disorders (14 papers)
- Partner nations
- BrazilUnited StatesUnited Kingdom
In The Last Decade
Fernando C. Reinach
53 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 2.3k
- Cardiology and Cardiovascular Medicine 2.0k
- Cell Biology 344
- Cellular and Molecular Neuroscience 172
- Atomic and Molecular Physics, and Optics 170
Countries citing papers authored by Fernando C. Reinach
This map shows the geographic impact of Fernando C. Reinach'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 Fernando C. Reinach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando C. Reinach more than expected).
Fields of papers citing papers by Fernando C. Reinach
This network shows the impact of papers produced by Fernando C. Reinach. 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 Fernando C. Reinach. The network helps show where Fernando C. Reinach may publish in the future.
Co-authorship network of co-authors of Fernando C. Reinach
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando C. Reinach. A scholar is included among the top collaborators of Fernando C. Reinach 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 Fernando C. Reinach. Fernando C. Reinach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 5 | |
| 3 | 45 | |
| 4 | 46 | |
| 5 | 61 | |
| 6 | 97 | |
| 7 | 65 | |
| 8 | 39 | |
| 9 | 25 | |
| 10 | 34 | |
| 11 | 63 | |
| 12 | 11 | |
| 13 | 106 | |
| 14 | 44 | |
| 15 | 31 | |
| 16 | 22 | |
| 17 | 57 | |
| 18 | 4 | |
| 19 | 79 | |
| 20 | 25 |
About Fernando C. Reinach
Fernando C. Reinach is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Immunology and Allergy, having authored 54 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (29 papers), RNA and protein synthesis mechanisms (16 papers) and Muscle Physiology and Disorders (14 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.0k citations), Molecular Biology (2.3k citations) and Cell Biology (344 citations). Fernando C. Reinach has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Chuck S. Farah, Donald A. Fischman, Lawrence B. Smillie, Alexander R. MacLeod, Kevin T. Vaughan, Franz E. Weber, John Kendrick‐Jones, Τοmoh Masaki, Takashi Mikawa and Roger Karlsson. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.