N. Davidson
Impact in
- Genetics top 10%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Animal Genetics and Reproduction
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- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
Papers in
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- Genomics and Phylogenetic Studies 6
- RNA and protein synthesis mechanisms 5
- RNA modifications and cancer 4
- Single-cell and spatial transcriptomics 3
- RNA Research and Splicing 3
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- Acute Lymphoblastic Leukemia research 4
- Co-authors
- Alicia Oshlack (21 shared papers)Ian J. Majewski (6 shared papers)Craig A. Smith (5 shared papers)Z. Wa̧s (3 shared papers)T. Przedziński (3 shared papers)Katie Ayers (3 shared papers)Andrew Sinclair (3 shared papers)Matthew D. Young (1 shared paper)
In The Last Decade
N. Davidson
28 papers receiving 1.3k citations
N. Davidson's Hit Papers
Peers
Comparison fields: 5 of 105
- Genetics 300
- Molecular Biology 679
- Cancer Research 142
- Plant Science 280
- Nuclear and High Energy Physics 96
Countries citing papers authored by N. Davidson
This map shows the geographic impact of N. Davidson'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 N. Davidson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Davidson more than expected).
Fields of papers citing papers by N. Davidson
This network shows the impact of papers produced by N. Davidson. 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 N. Davidson. The network helps show where N. Davidson may publish in the future.
Co-authors
The 25 scholars most cited alongside N. Davidson, 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 | Corset: enabling differential gene expression analysis for de novoassembled transcriptomes Hit paper breakdown → | 2014 | 509 |
| 2 | 2015 | 109 | |
| 3 | goseq: Gene Ontology testing for RNA-seq datasets | 2014 | 104 |
| 4 | 2013 | 92 | |
| 5 | 2017 | 82 | |
| 6 | 2013 | 61 | |
| 7 | 2020 | 53 | |
| 8 | 2015 | 49 | |
| 9 | 2015 | 44 | |
| 10 | 2011 | 39 | |
| 11 | 2022 | 33 | |
| 12 | 2014 | 28 | |
| 13 | 2022 | 27 | |
| 14 | 2017 | 19 | |
| 15 | 2016 | 15 | |
| 16 | 2018 | 14 | |
| 17 | 2014 | 14 | |
| 18 | 2010 | 14 | |
| 19 | 2020 | 14 | |
| 20 | 2021 | 11 |
About N. Davidson
N. Davidson is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Hematology, Genetics and Nuclear and High Energy Physics, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), RNA and protein synthesis mechanisms (5 papers), Acute Myeloid Leukemia Research (4 papers), Acute Lymphoblastic Leukemia research (4 papers), RNA modifications and cancer (4 papers), Single-cell and spatial transcriptomics (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Genetics (300 citations), Molecular Biology (679 citations), Cancer Research (142 citations), Plant Science (280 citations) and Nuclear and High Energy Physics (96 citations). N. Davidson has collaborated with scholars based in Australia, Poland and Singapore. Frequent co-authors include Alicia Oshlack, Ian J. Majewski, Craig A. Smith, Z. Wa̧s, T. Przedziński, Katie Ayers, Andrew Sinclair, Matthew D. Young, Gordon K. Smyth and Kelly N. Roeszler. Their work appears in journals such as Genome biology, Blood Advances, Computer Physics Communications, Nature Communications and GigaScience.
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.