S Celniker
- Aging top 0.5%
- Molecular Biology top 0.5%
- Genomics and Phylogenetic Studies 33
- Genomics and Chromatin Dynamics 29
- Developmental Biology and Gene Regulation 22
- RNA Research and Splicing 20
- RNA and protein synthesis mechanisms 19
- CRISPR and Genetic Engineering 15
- RNA modifications and cancer 10
- Cancer Research top 1%
- Genetics top 0.5%
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- Chromosomal and Genetic Variations 20
- Co-authors
- Gerald M. RubinE. B. LewisRichard WeiszmannMichael B. EisenBarret D. PfeifferPavel TomančákJoseph W. CarlsonAnn S. Hammonds
- Journals
- Proceedings of the National Academy of Sciences (11 papers)Genome biology (10 papers)Genome Research (8 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
S Celniker
112 papers receiving 10.5k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Aging 381
- Molecular Biology 8.7k
- Cancer Research 1.3k
- Cellular and Molecular Neuroscience 1.5k
- Genetics 1.9k
Countries citing papers authored by S Celniker
This map shows the geographic impact of S Celniker'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 Celniker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Celniker more than expected).
Fields of papers citing papers by S Celniker
This network shows the impact of papers produced by S Celniker. 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 Celniker. The network helps show where S Celniker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside S Celniker, 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 | 2024 | 4 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 6 | |
| 5 | 2019 | 1 | |
| 6 | 2018 | 15 | |
| 7 | 2015 | 19 | |
| 8 | 2015 | 61 | |
| 9 | 2009 | 1 | |
| 10 | 2008 | 72 | |
| 11 | 2007 | 228 | |
| 12 | 2007 | 295 | |
| 13 | 2007 | 115 | |
| 14 | RNA editing in Drosophila melanogaster: new targets and functional consequences | 2006 | 1 |
| 15 | 2006 | 71 | |
| 16 | 2004 | 97 | |
| 17 | Posterior patterning genes and the identification of a unique body region in the brine shrimp Artemia franciscana | 2003 | 4 |
| 18 | 2003 | 28 | |
| 19 | 2002 | 483 | |
| 20 | 2002 | 164 |
About S Celniker
S Celniker is a scholar working on Molecular Biology, Biological Psychiatry and Genetics, having authored 114 papers that have together received 10.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (33 papers), Genomics and Chromatin Dynamics (29 papers), Developmental Biology and Gene Regulation (22 papers), Chromosomal and Genetic Variations (20 papers), RNA Research and Splicing (20 papers), RNA and protein synthesis mechanisms (19 papers), CRISPR and Genetic Engineering (15 papers) and RNA modifications and cancer (10 papers). The work is most often cited by research in Aging (381 citations), Molecular Biology (8.7k citations) and Cancer Research (1.3k citations). S Celniker has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Gerald M. Rubin, E. B. Lewis, Richard Weiszmann, Michael B. Eisen, Barret D. Pfeiffer, Pavel Tomančák, Joseph W. Carlson, Ann S. Hammonds, Eric C. Lai and Brenton R. Graveley. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genome biology, Genome Research, Cell Reports and Scientific Reports.
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.