Fred P. Davis
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
- Molecular Biology top 5%
- Protein Structure and Dynamics
- Epigenetics and DNA Methylation
- Bioinformatics and Genomic Networks
Papers in
-
- Protein Structure and Dynamics 10
- Genomics and Chromatin Dynamics 5
- Genomics and Phylogenetic Studies 3
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- Immune Cell Function and Interaction 9
- IL-33, ST2, and ILC Pathways 5
- T-cell and B-cell Immunology 4
- Co-authors
- Andrej Săli (11 shared papers)Sean R. Eddy (7 shared papers)Gilbert L. Henry (6 shared papers)Serge Picard (5 shared papers)Yuka Kanno (8 shared papers)John J. O’Shea (8 shared papers)Han‐Yu Shih (6 shared papers)Yohei Mikami (6 shared papers)
- Journals
- Immunity (5 papers)Nucleic Acids Research (4 papers)PLoS Computational Biology (3 papers)Protein Science (2 papers)eLife (2 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Fred P. Davis
36 papers receiving 2.7k citations
Fred P. Davis's Hit Papers
Peers
Comparison fields: 5 of 134
- Immunology 699
- Molecular Biology 1.6k
- Cellular and Molecular Neuroscience 376
- Aging 33
- Developmental Neuroscience 58
Countries citing papers authored by Fred P. Davis
This map shows the geographic impact of Fred P. Davis'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 Fred P. Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred P. Davis more than expected).
Fields of papers citing papers by Fred P. Davis
This network shows the impact of papers produced by Fred P. Davis. 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 Fred P. Davis. The network helps show where Fred P. Davis may publish in the future.
Co-authors
The 25 scholars most cited alongside Fred P. Davis, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Epigenomic Signatures of Neuronal Diversity in the Mammalian Brain Hit paper breakdown → | 2015 | 475 |
| 2 | 2016 | 250 | |
| 3 | 2019 | 225 | |
| 4 | 2004 | 206 | |
| 5 | 2005 | 134 | |
| 6 | 2020 | 131 | |
| 7 | 2008 | 126 | |
| 8 | 2016 | 122 | |
| 9 | 2020 | 118 | |
| 10 | 2012 | 111 | |
| 11 | 2007 | 93 | |
| 12 | 2017 | 72 | |
| 13 | 2019 | 58 | |
| 14 | 2017 | 54 | |
| 15 | 2005 | 47 | |
| 16 | 2006 | 46 | |
| 17 | 2017 | 44 | |
| 18 | 2020 | 43 | |
| 19 | 2018 | 42 | |
| 20 | 2010 | 38 |
About Fred P. Davis
Fred P. Davis is a scholar working on Molecular Biology, Immunology, Materials Chemistry, Cellular and Molecular Neuroscience and Surgery, having authored 37 papers that have together received 2.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), Immune Cell Function and Interaction (9 papers), Enzyme Structure and Function (7 papers), Genomics and Chromatin Dynamics (5 papers), Neurobiology and Insect Physiology Research (5 papers), IL-33, ST2, and ILC Pathways (5 papers), T-cell and B-cell Immunology (4 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Immunology (699 citations), Molecular Biology (1.6k citations), Cellular and Molecular Neuroscience (376 citations), Aging (33 citations) and Developmental Neuroscience (58 citations). Fred P. Davis has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Andrej Săli, Sean R. Eddy, Gilbert L. Henry, Serge Picard, Yuka Kanno, John J. O’Shea, Han‐Yu Shih, Yohei Mikami, Chongyuan Luo and Jeremy Nathans. Their work appears in journals such as Immunity, Nucleic Acids Research, PLoS Computational Biology, Protein Science and eLife.
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.