David Fredman
Impact in
- Paleontology top 5%
- Marine Invertebrate Physiology and Ecology
- Genetics top 5%
- Genomic variations and chromosomal abnormalities
Papers in ⓘ
-
- Marine Invertebrate Physiology and Ecology 8
- Genetics 14
- Genomic variations and chromosomal abnormalities 4
- Genetic Associations and Epidemiology 3
- Co-authors
- Boris Lenhard (10 shared papers)Ulrich Technau (7 shared papers)Thomas Becker (5 shared papers)Yehu Moran (4 shared papers)Pavla Navrátilová (4 shared papers)Anthony J. Brookes (4 shared papers)Pär G. Engström (3 shared papers)Stefan J. White (1 shared paper)
- Journals
- Genome biology (3 papers)Genome Research (3 papers)Nucleic Acids Research (3 papers)Human Mutation (2 papers)Molecular Biology and Evolution (2 papers)
- Partner nations
- NorwayAustriaUnited States
In The Last Decade
David Fredman
29 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 100
- Paleontology 209
- Genetics 461
- Molecular Biology 1.0k
- Cancer Research 140
- Cell Biology 112
Countries citing papers authored by David Fredman
This map shows the geographic impact of David Fredman'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 Fredman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Fredman more than expected).
Fields of papers citing papers by David Fredman
This network shows the impact of papers produced by David Fredman. 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 Fredman. The network helps show where David Fredman may publish in the future.
Co-authors
The 25 scholars most cited alongside David Fredman, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 175 | |
| 2 | 2009 | 157 | |
| 3 | 2014 | 116 | |
| 4 | 2002 | 109 | |
| 5 | 2008 | 88 | |
| 6 | 2012 | 87 | |
| 7 | 2014 | 85 | |
| 8 | 2009 | 75 | |
| 9 | 2015 | 74 | |
| 10 | 2008 | 71 | |
| 11 | 2006 | 64 | |
| 12 | 2013 | 52 | |
| 13 | 2003 | 51 | |
| 14 | 2013 | 45 | |
| 15 | 2009 | 43 | |
| 16 | 2007 | 40 | |
| 17 | 2015 | 33 | |
| 18 | 2016 | 26 | |
| 19 | 2023 | 25 | |
| 20 | 2009 | 23 |
About David Fredman
David Fredman is a scholar working on Paleontology, Genetics, Molecular Biology, Plant Science and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (9 papers), Marine Invertebrate Physiology and Ecology (8 papers), Chromosomal and Genetic Variations (8 papers), RNA and protein synthesis mechanisms (5 papers), Protist diversity and phylogeny (5 papers), Genomic variations and chromosomal abnormalities (4 papers), Genomics and Phylogenetic Studies (3 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Paleontology (209 citations), Genetics (461 citations), Molecular Biology (1.0k citations), Cancer Research (140 citations) and Cell Biology (112 citations). David Fredman has collaborated with scholars based in Norway, Austria and United States. Frequent co-authors include Boris Lenhard, Ulrich Technau, Thomas Becker, Yehu Moran, Pavla Navrátilová, Anthony J. Brookes, Pär G. Engström, Stefan J. White, Johan T. den Dunnen and Evan E. Eichler. Their work appears in journals such as Genome biology, Genome Research, Nucleic Acids Research, Human Mutation and Molecular Biology and Evolution.
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.