Daniela Zablocki
Impact in
- Geriatrics and Gerontology top 0.5%
- Sirtuins and Resveratrol in Medicine
- Aging top 2%
Papers in
-
- Calcium signaling and nucleotide metabolism 6
- Aging 1
- Co-authors
- Junichi SadoshimaSebastiano SciarrettaYasuhiro MaejimaPeiyong ZhaiStephen F. VatnerBin TianXianzhong YuEric Holle
- Journals
- Journal of Molecular and Cellular Cardiology (6 papers)Circulation Research (6 papers)Cardiovascular Research (2 papers)Journal of Clinical Investigation (2 papers)American Journal of Physiology-Heart and Circulatory Physiology (2 papers)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Daniela Zablocki
32 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Geriatrics and Gerontology 667
- Aging 147
- Physiology 266
- Epidemiology 1.4k
- Cell Biology 544
Countries citing papers authored by Daniela Zablocki
This map shows the geographic impact of Daniela Zablocki'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 Daniela Zablocki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Zablocki more than expected).
Fields of papers citing papers by Daniela Zablocki
This network shows the impact of papers produced by Daniela Zablocki. 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 Daniela Zablocki. The network helps show where Daniela Zablocki may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Zablocki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 67 | |
| 3 | 2022 | 39 | |
| 4 | 2022 | 20 | |
| 5 | 2022 | 14 | |
| 6 | 2021 | 16 | |
| 7 | 2021 | 72 | |
| 8 | 2020 | 138 | |
| 9 | 2020 | 55 | |
| 10 | The Role of Autophagy in the Heart Hit paper breakdown → | 2017 | 432 |
| 11 | 2017 | 49 | |
| 12 | 2014 | 117 | |
| 13 | 2013 | 153 | |
| 14 | Mst1 inhibits autophagy by promoting the interaction between Beclin1 and Bcl-2 Hit paper breakdown → | 2013 | 428 |
| 15 | 2011 | 11 | |
| 16 | 2010 | 20 | |
| 17 | 2010 | 140 | |
| 18 | 2009 | 51 | |
| 19 | 2003 | 247 | |
| 20 | 2003 | 11 |
About Daniela Zablocki
Daniela Zablocki is a scholar working on Physiology, Aging, Geriatrics and Gerontology, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 33 papers that have together received 3.8k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (17 papers), Mitochondrial Function and Pathology (8 papers), Signaling Pathways in Disease (6 papers), Calcium signaling and nucleotide metabolism (6 papers), Heat shock proteins research (4 papers), Cardiac Fibrosis and Remodeling (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Geriatrics and Gerontology (667 citations), Aging (147 citations), Physiology (266 citations), Epidemiology (1.4k citations) and Cell Biology (544 citations). Daniela Zablocki has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Junichi Sadoshima, Sebastiano Sciarretta, Yasuhiro Maejima, Peiyong Zhai, Stephen F. Vatner, Bin Tian, Xianzhong Yu, Eric Holle, Shumin Gao and Thomas E. Wagner. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, Circulation Research, Cardiovascular Research, Journal of Clinical Investigation and American Journal of Physiology-Heart and Circulatory Physiology.
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.