Daria Mochly‐Rosen
- Molecular Biology top 0.1%
- Pathology and Forensic Medicine top 0.1%
- Physiology top 0.2%
- Cardiology and Cardiovascular Medicine top 0.5%
- Cellular and Molecular Neuroscience top 0.2%
- Co-authors
- Marie‐Hélène DisatnikChe‐Hong ChenJulio Cesar Batista FerreiraAdrienne S. GordonEric N. ChurchillChe-Hong ChenMary O. GrayXin Qi
- Topics
- Protein Kinase Regulation and GTPase Signaling (71 papers)Cardiac Ischemia and Reperfusion (50 papers)Mitochondrial Function and Pathology (42 papers)
- Partner nations
- United StatesBrazilTaiwan
In The Last Decade
Daria Mochly‐Rosen
317 papers receiving 25.7k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Molecular Biology 17.3k
- Pathology and Forensic Medicine 4.4k
- Physiology 3.9k
- Cardiology and Cardiovascular Medicine 3.6k
- Cellular and Molecular Neuroscience 3.4k
Countries citing papers authored by Daria Mochly‐Rosen
This map shows the geographic impact of Daria Mochly‐Rosen'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 Daria Mochly‐Rosen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daria Mochly‐Rosen more than expected).
Fields of papers citing papers by Daria Mochly‐Rosen
This network shows the impact of papers produced by Daria Mochly‐Rosen. 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 Daria Mochly‐Rosen. The network helps show where Daria Mochly‐Rosen may publish in the future.
Co-authorship network of co-authors of Daria Mochly‐Rosen
This figure shows the co-authorship network connecting the top 25 collaborators of Daria Mochly‐Rosen. A scholar is included among the top collaborators of Daria Mochly‐Rosen 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 Daria Mochly‐Rosen. Daria Mochly‐Rosen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 40 | |
| 6 | 7 | |
| 7 | 51 | |
| 8 | 8 | |
| 9 | 75 | |
| 10 | 78 | |
| 11 | 109 | |
| 12 | 214 | |
| 13 | 3 | |
| 14 | 26 | |
| 15 | 22 | |
| 16 | 52 | |
| 17 | 44 | |
| 18 | 59 | |
| 19 | 164 | |
| 20 | 2 |
About Daria Mochly‐Rosen
Daria Mochly‐Rosen is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 319 papers that have together received 26.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (71 papers), Cardiac Ischemia and Reperfusion (50 papers) and Mitochondrial Function and Pathology (42 papers). The work is most often cited by research in Molecular Biology (17.3k citations), Pathology and Forensic Medicine (4.4k citations) and Cellular and Molecular Neuroscience (3.4k citations). Daria Mochly‐Rosen has collaborated with scholars based in United States, Brazil and Taiwan. Frequent co-authors include Marie‐Hélène Disatnik, Che‐Hong Chen, Julio Cesar Batista Ferreira, Adrienne S. Gordon, Eric N. Churchill, Che-Hong Chen, Mary O. Gray, Xin Qi, Dorit Ron and Nir Qvit. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.