David Donze
Impact in
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- CRISPR and Genetic Engineering
Papers in
-
- Genomics and Chromatin Dynamics 16
- RNA Research and Splicing 10
- RNA and protein synthesis mechanisms 10
- RNA modifications and cancer 4
- Fungal and yeast genetics research 4
- Genomics and Phylogenetic Studies 2
- Epigenetics and DNA Methylation 2
- Genetics 3
- Hemoglobinopathies and Related Disorders 3
- Co-authors
- Tim M. Townes (4 shared papers)James J. Bieker (1 shared paper)John J. Caterina (2 shared papers)Dominic J. Ciavatta (2 shared papers)Rohinton T. Kamakaka (1 shared paper)Chiao-Wang Sun (1 shared paper)Richard R. Behringer (1 shared paper)Kathy Hancock (1 shared paper)
- Journals
- Gene (4 papers)Genetics (3 papers)Journal of Biological Chemistry (3 papers)Molecular and Cellular Biology (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
David Donze
26 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 67
- Genetics 155
- Molecular Biology 1.0k
- Hematology 54
- Plant Science 180
- Geriatrics and Gerontology 14
Countries citing papers authored by David Donze
This map shows the geographic impact of David Donze'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 David Donze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Donze more than expected).
Fields of papers citing papers by David Donze
This network shows the impact of papers produced by David Donze. 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 David Donze. The network helps show where David Donze may publish in the future.
Co-authors
The 25 scholars most cited alongside David Donze, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 218 | |
| 2 | 1995 | 178 | |
| 3 | 1994 | 132 | |
| 4 | 1994 | 78 | |
| 5 | 2008 | 68 | |
| 6 | 2002 | 59 | |
| 7 | 1992 | 55 | |
| 8 | 2005 | 50 | |
| 9 | 2006 | 33 | |
| 10 | 2011 | 31 | |
| 11 | 1996 | 31 | |
| 12 | 2010 | 28 | |
| 13 | 2005 | 27 | |
| 14 | 2011 | 23 | |
| 15 | 2012 | 22 | |
| 16 | 2011 | 20 | |
| 17 | 2001 | 15 | |
| 18 | 1991 | 14 | |
| 19 | 2014 | 10 | |
| 20 | 2022 | 9 |
About David Donze
David Donze is a scholar working on Molecular Biology, Genetics, Computational Mathematics, Clinical Biochemistry and Geometry and Topology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (16 papers), RNA Research and Splicing (10 papers), RNA and protein synthesis mechanisms (10 papers), RNA modifications and cancer (4 papers), Fungal and yeast genetics research (4 papers), Hemoglobinopathies and Related Disorders (3 papers), Genomics and Phylogenetic Studies (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Genetics (155 citations), Molecular Biology (1.0k citations), Hematology (54 citations), Plant Science (180 citations) and Geriatrics and Gerontology (14 citations). David Donze has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Tim M. Townes, James J. Bieker, John J. Caterina, Dominic J. Ciavatta, Rohinton T. Kamakaka, Chiao-Wang Sun, Richard R. Behringer, Kathy Hancock, Allen J. LeBlanc and Stephen L. Hajduk. Their work appears in journals such as Gene, Genetics, Journal of Biological Chemistry, Molecular and Cellular Biology and Nucleic Acids 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.