S. Fairman
Impact in
- Aging top 5%
- Molecular Biology top 10%
- Developmental Biology and Gene Regulation
- Congenital heart defects research
- Pluripotent Stem Cells Research
- RNA Research and Splicing
- Muscle Physiology and Disorders
- TGF-β signaling in diseases
Papers in
-
- Developmental Biology and Gene Regulation 4
- Congenital heart defects research 3
- Muscle Physiology and Disorders 2
- RNA Research and Splicing 2
-
- Cellular Mechanics and Interactions 2
- Co-authors
- J. B. Gurdon (6 shared papers)S. Brennan (4 shared papers)Tim Mohun (3 shared papers)Nina Dathan (1 shared paper)Timothy J. Mohun (1 shared paper)Pablo Collins (1 shared paper)Colin G. Ogden (1 shared paper)
- Journals
- Cell (2 papers)Neuropathology and Applied Neurobiology (1 paper)Development (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
S. Fairman
8 papers receiving 767 citations
S. Fairman's Hit Papers
Peers
Comparison fields: 5 of 74
- Aging 42
- Molecular Biology 707
- Genetics 212
- Cell Biology 122
- Developmental Neuroscience 26
Countries citing papers authored by S. Fairman
This map shows the geographic impact of S. Fairman'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 S. Fairman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Fairman more than expected).
Fields of papers citing papers by S. Fairman
This network shows the impact of papers produced by S. Fairman. 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 S. Fairman. The network helps show where S. Fairman may publish in the future.
Co-authors
The 7 scholars most cited alongside S. Fairman, 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 | Cell type-specific activation of actin genes in the early amphibian embryo Hit paper breakdown → | 1984 | 340 |
| 2 | 1985 | 220 | |
| 3 | 1984 | 112 | |
| 4 | 1985 | 82 | |
| 5 | Lack of inactivation of a mouse X-linked gene physically separated from the inactivation centre. | 1986 | 34 |
| 6 | 1990 | 18 | |
| 7 | 1979 | 11 | |
| 8 | 1986 | 9 |
About S. Fairman
S. Fairman is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health and Oceanography, having authored 8 papers that have together received 826 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (4 papers), Congenital heart defects research (3 papers), Muscle Physiology and Disorders (2 papers), Cellular Mechanics and Interactions (2 papers), RNA Research and Splicing (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper), Marine Biology and Environmental Chemistry (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Aging (42 citations), Molecular Biology (707 citations), Genetics (212 citations), Cell Biology (122 citations) and Developmental Neuroscience (26 citations). S. Fairman has collaborated with scholars based in United Kingdom. Frequent co-authors include J. B. Gurdon, S. Brennan, Tim Mohun, Nina Dathan, Timothy J. Mohun, Pablo Collins and Colin G. Ogden. Their work appears in journals such as Cell, Neuropathology and Applied Neurobiology, Development, Proceedings of the National Academy of Sciences and Nature.
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.