David R. Mathog
Impact in
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Developmental Biology and Gene Regulation
- Nuclear Structure and Function
- DNA Repair Mechanisms
- Genomics and Phylogenetic Studies
- Plant Science top 10%
- Chromosomal and Genetic Variations
- Plant Molecular Biology Research
Papers in
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- Genomics and Chromatin Dynamics 6
- Developmental Biology and Gene Regulation 4
- Plant Reproductive Biology 2
- RNA Research and Splicing 2
- Ubiquitin and proteasome pathways 1
- Heat shock proteins research 1
-
- Chromosomal and Genetic Variations 6
- Co-authors
- John W. Sedat (5 shared papers)Mark Hochstrasser (4 shared papers)Yosef Gruenbaum (3 shared papers)Harald Saumweber (3 shared papers)S Celniker (3 shared papers)E. B. Lewis (3 shared papers)John D. Knafels (2 shared papers)Michael Palazzolo (1 shared paper)
- Journals
- Genetics (2 papers)Journal of Microscopy (2 papers)Proceedings of the National Academy of Sciences (2 papers)Current Biology (1 paper)Journal of Cell Science (1 paper)
- Partner nations
- United StatesSpainGermany
In The Last Decade
David R. Mathog
12 papers receiving 706 citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 622
- Plant Science 300
- Biophysics 44
- Aging 9
- Genetics 113
Countries citing papers authored by David R. Mathog
This map shows the geographic impact of David R. Mathog'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 R. Mathog with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David R. Mathog more than expected).
Fields of papers citing papers by David R. Mathog
This network shows the impact of papers produced by David R. Mathog. 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 R. Mathog. The network helps show where David R. Mathog may publish in the future.
Co-authors
The 11 scholars most cited alongside David R. Mathog, 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 | 1986 | 227 | |
| 2 | 1984 | 156 | |
| 3 | 1995 | 136 | |
| 4 | 1984 | 46 | |
| 5 | 2003 | 44 | |
| 6 | 1995 | 29 | |
| 7 | 2003 | 28 | |
| 8 | 1989 | 25 | |
| 9 | 1985 | 19 | |
| 10 | 1985 | 14 | |
| 11 | 1990 | 11 | |
| 12 | 1991 | 1 |
About David R. Mathog
David R. Mathog is a scholar working on Molecular Biology, Plant Science, Genetics, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 12 papers that have together received 736 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (6 papers), Genomics and Chromatin Dynamics (6 papers), Developmental Biology and Gene Regulation (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Plant Reproductive Biology (2 papers), RNA Research and Splicing (2 papers), Ubiquitin and proteasome pathways (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Molecular Biology (622 citations), Plant Science (300 citations), Biophysics (44 citations), Aging (9 citations) and Genetics (113 citations). David R. Mathog has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include John W. Sedat, Mark Hochstrasser, Yosef Gruenbaum, Harald Saumweber, S Celniker, E. B. Lewis, John D. Knafels, Michael Palazzolo, Christopher H. Martin and David A. Agard. Their work appears in journals such as Genetics, Journal of Microscopy, Proceedings of the National Academy of Sciences, Current Biology and Journal of Cell 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.