Paula Dobrinić

1.9k total citations · 1 hit paper
9 papers, 875 citations indexed

About

Paula Dobrinić is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Paula Dobrinić has authored 9 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Immunology. Recurrent topics in Paula Dobrinić's work include CRISPR and Genetic Engineering (3 papers), Epigenetics and DNA Methylation (3 papers) and Genomics and Chromatin Dynamics (3 papers). Paula Dobrinić is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), Epigenetics and DNA Methylation (3 papers) and Genomics and Chromatin Dynamics (3 papers). Paula Dobrinić collaborates with scholars based in United Kingdom, Croatia and Germany. Paula Dobrinić's co-authors include Aleksandar Vojta, Vlatka Zoldoš, Marija Klasić, Petra Korać, Boris Jülg, Luka Bočkor, Vanja Tadić, Robert J. Klose, Aleksander Szczurek and Miles K. Huseyin and has published in prestigious journals such as Nucleic Acids Research, Genes & Development and Scientific Reports.

In The Last Decade

Paula Dobrinić

9 papers receiving 866 citations

Hit Papers

Repurposing the CRISPR-Cas9 system for targeted DNA methy... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers

Paula Dobrinić
Comparison fields: 5 of 77
  • Molecular Biology 800
  • Genetics 181
  • Plant Science 94
  • Oncology 43
  • Aging 43
Replace Marija Klasić with:
Marija Klasić Croatia
Vanja Tadić Croatia
Joy E. Horng United States
Aline Marnef France
Eszter Pósfai United States
Chunlong Xu China
Ravi Alla United States
Samantha J Linder United States
Yayoi Kunihiro Japan
Wenqin Ying China
Marija Klasić Croatia View profile →
Citations per field, relative to Paula Dobrinić
Paula Dobrinić · 1×
Citations per year, relative to Paula Dobrinić
Paula Dobrinić · 1×

Countries citing papers authored by Paula Dobrinić

Since Specialization
Citations

This map shows the geographic impact of Paula Dobrinić'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 Paula Dobrinić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paula Dobrinić more than expected).

Fields of papers citing papers by Paula Dobrinić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paula Dobrinić. 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 Paula Dobrinić. The network helps show where Paula Dobrinić may publish in the future.

Co-authorship network of co-authors of Paula Dobrinić

This figure shows the co-authorship network connecting the top 25 collaborators of Paula Dobrinić. A scholar is included among the top collaborators of Paula Dobrinić 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 Paula Dobrinić. Paula Dobrinić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 3
2 64
3 45
4 121
5 3
6 30
7
Repurposing the CRISPR-Cas9 system for targeted DNA methylation breakdown →
554
8 1
9 54

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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