Mark Dubnick
Impact in
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Molecular Biology Techniques and Applications
- Gene expression and cancer classification
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- Aging top 5%
Papers in
-
- RNA and protein synthesis mechanisms 5
- Genomics and Phylogenetic Studies 3
- Genomics and Chromatin Dynamics 3
- Machine Learning in Bioinformatics 1
- Genetics 2
- Co-authors
- Anthony R. Kerlavage (5 shared papers)Jenny M. Kelley (4 shared papers)Mark D. Adams (4 shared papers)J. Craig Venter (4 shared papers)W. Richard McCombie (3 shared papers)Andrew Wu (1 shared paper)Björn Olde (1 shared paper)Jeannine D. Gocayne (1 shared paper)
- Journals
- Nature Genetics (2 papers)Proceedings of the National Academy of Sciences (2 papers)Computer applications in the biosciences (2 papers)Nature (1 paper)Science (1 paper)
- Partner nations
- United States
In The Last Decade
Mark Dubnick
10 papers receiving 2.3k citations
Mark Dubnick's Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 1.9k
- Aging 43
- Genetics 453
- Plant Science 455
- Cancer Research 142
Countries citing papers authored by Mark Dubnick
This map shows the geographic impact of Mark Dubnick'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 Mark Dubnick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Dubnick more than expected).
Fields of papers citing papers by Mark Dubnick
This network shows the impact of papers produced by Mark Dubnick. 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 Mark Dubnick. The network helps show where Mark Dubnick may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Dubnick, 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 | Complementary DNA Sequencing: Expressed Sequence Tags and Human Genome Project Hit paper breakdown → | 1991 | 1557 |
| 2 | Sequence identification of 2,375 human brain genes Hit paper breakdown → | 1992 | 605 |
| 3 | 1992 | 149 | |
| 4 | 1992 | 68 | |
| 5 | 1995 | 13 | |
| 6 | 1992 | 9 | |
| 7 | 1983 | 8 | |
| 8 | 1994 | 8 | |
| 9 | 1990 | 2 | |
| 10 | 2002 | 1 |
About Mark Dubnick
Mark Dubnick is a scholar working on Molecular Biology, Genetics, Plant Science, Radiation and Clinical Biochemistry, having authored 10 papers that have together received 2.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Genomics and Phylogenetic Studies (3 papers), Genomics and Chromatin Dynamics (3 papers), Chromosomal and Genetic Variations (2 papers), Metabolism and Genetic Disorders (1 paper), Machine Learning in Bioinformatics (1 paper), Alzheimer's disease research and treatments (1 paper) and Radiation Detection and Scintillator Technologies (1 paper). The work is most often cited by research in Molecular Biology (1.9k citations), Aging (43 citations), Genetics (453 citations), Plant Science (455 citations) and Cancer Research (142 citations). Mark Dubnick has collaborated with scholars based in United States. Frequent co-authors include Anthony R. Kerlavage, Jenny M. Kelley, Mark D. Adams, J. Craig Venter, W. Richard McCombie, Andrew Wu, Björn Olde, Jeannine D. Gocayne, Hong Xiao and Carl R. Merril. Their work appears in journals such as Nature Genetics, Proceedings of the National Academy of Sciences, Computer applications in the biosciences, Nature and Science.
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.