Dina Zielinski

2.5k citations
16 papers · 1.1k indexed · 1 hit paper · h-index 10

Dina Zielinski

16 papers receiving 1.1k citations

Hit Papers

DNA Fountain enables a robust and efficient storage archi...5542017202620202023100200300400500

Peers

Dina Zielinski
Comparison fields: 5 of 95
  • Molecular Biology 905
  • Genetics 194
  • Computational Theory and Mathematics 103
  • Artificial Intelligence 119
  • Aging 6
Replace Lucia Marucci with:
Lucia Marucci United Kingdom
Brian M. Turczyk United States
Woochang Hwang United States
Leon Anavy Israel
Benjamin W. Pruitt United States
Ben Cao China
Mingzhe Han China
Jeong‐Rae Kim South Korea
Giuseppe Narzisi United States
K. Ichikawa Japan
Dina Zielinski relative to Lucia Marucci United Kingdom Lucia Marucci's profile →
Citations per field
00.5×3.6×
Lucia Marucci · 1×
Citations per year

Countries citing papers authored by Dina Zielinski

Since Specialization
Citations

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

Fields of papers citing papers by Dina Zielinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Dina Zielinski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dina Zielinski Line = papers co-authored together Dina Zielinski links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20252
2 20242
3 20235
4 202111
5 202153
6 20218
7 201974
8 2019103
9 201939
10 201814
11
DNA Fountain enables a robust and efficient storage architecturebreakdown →
2017554
12 2017161
13 201616
14 201435
15 20123
16 19863

About Dina Zielinski

Dina Zielinski is a scholar working on Transplantation, Genetics and Molecular Biology, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Genomics and Chromatin Dynamics (4 papers), Renal Transplantation Outcomes and Treatments (2 papers), Neuroblastoma Research and Treatments (2 papers), Plant Disease Resistance and Genetics (2 papers), Genomics and Phylogenetic Studies (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Molecular Biology (905 citations), Genetics (194 citations) and Computational Theory and Mathematics (103 citations). Dina Zielinski has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Yaniv Erlich, Melissa Gymrek, Assaf Gordon, Jie Yuan, Thomas Willems, Raphaël Margueron, Michel Wassef, Nicolas Servant, Damarys Loew and Audrey Michaud. Their work appears in journals such as Nature Communications, Nature Genetics, Science, Nature Methods and Cytogenetic and Genome 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.

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