Daniela Zablocki

32 papers and 3.5k indexed citations i.

About

Daniela Zablocki is a scholar working on Molecular Biology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniela Zablocki has authored 32 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Epidemiology and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniela Zablocki’s work include Autophagy in Disease and Therapy (16 papers), Mitochondrial Function and Pathology (8 papers) and Calcium signaling and nucleotide metabolism (6 papers). Daniela Zablocki is often cited by papers focused on Autophagy in Disease and Therapy (16 papers), Mitochondrial Function and Pathology (8 papers) and Calcium signaling and nucleotide metabolism (6 papers). Daniela Zablocki collaborates with scholars based in United States, Japan and South Korea. Daniela Zablocki's co-authors include Junichi Sadoshima, Sebastiano Sciarretta, Peiyong Zhai, Yasuhiro Maejima, Stephen F. Vatner, Bin Tian, Ralph R. Alcendor, Xianzhong Yu, Eric Holle and Shumin Gao and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and Circulation Research.

In The Last Decade

Co-authorship network of co-authors of Daniela Zablocki i

Fields of papers citing papers by Daniela Zablocki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Daniela Zablocki

Since Specialization
Citations

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).

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.

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