N. Davidson

41.6k total citations · 1 hit paper
29 papers, 1.4k citations indexed

About

N. Davidson is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Hematology. According to data from OpenAlex, N. Davidson has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 4 papers in Public Health, Environmental and Occupational Health and 4 papers in Hematology. Recurrent topics in N. Davidson's work include Genomics and Phylogenetic Studies (6 papers), RNA and protein synthesis mechanisms (5 papers) and Acute Myeloid Leukemia Research (4 papers). N. Davidson is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), RNA and protein synthesis mechanisms (5 papers) and Acute Myeloid Leukemia Research (4 papers). N. Davidson collaborates with scholars based in Australia, Poland and Singapore. N. Davidson's co-authors include Alicia Oshlack, Ian J. Majewski, Craig A. Smith, T. Przedziński, Z. Wa̧s, Andrew Sinclair, Katie Ayers, Gordon K. Smyth, Matthew D. Young and Kelly N. Roeszler and has published in prestigious journals such as Nature Communications, Nature Immunology and Bioinformatics.

In The Last Decade

N. Davidson

28 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Corset: enabling differential gene expression analysis for de novoassembled transcriptomes

2014 509 citations N. Davidson, Alicia Oshlack Genome biology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
N. Davidson Australia	15	679	300	280	150	142	29	1.4k
Robert B. Church Canada	22	1.2k 1.8×	513 1.7×	230 0.8×	102 0.7×	97 0.7×	58	1.8k
Fan Lin China	21	1.8k 2.7×	477 1.6×	280 1.0×	277 1.8×	1.1k 7.9×	74	3.0k
Hélène Holota France	17	683 1.0×	201 0.7×	140 0.5×	126 0.8×	126 0.9×	37	1.1k
Justin Chu Canada	17	1.3k 1.9×	286 1.0×	356 1.3×	223 1.5×	108 0.8×	33	1.8k
Peter Hovingh United States	19	696 1.0×	104 0.3×	121 0.4×	67 0.4×	91 0.6×	52	1.2k
Satoshi Kubota Japan	23	585 0.9×	277 0.9×	365 1.3×	139 0.9×	172 1.2×	136	1.5k
Zissis Mamuris Greece	23	454 0.7×	422 1.4×	133 0.5×	333 2.2×	78 0.5×	88	1.5k
Seyed Yahya Anvar Netherlands	23	824 1.2×	249 0.8×	93 0.3×	100 0.7×	175 1.2×	34	1.3k
Ying Shen China	18	698 1.0×	184 0.6×	334 1.2×	125 0.8×	67 0.5×	56	1.3k
José M. Eirín‐López Spain	33	1.5k 2.2×	455 1.5×	295 1.1×	513 3.4×	65 0.5×	80	2.5k

Countries citing papers authored by N. Davidson

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of N. Davidson

This figure shows the co-authorship network connecting the top 25 collaborators of N. Davidson. A scholar is included among the top collaborators of N. Davidson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with N. Davidson. N. Davidson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Peng, Hongke, Jafar S. Jabbari, Luyi Tian, et al.. (2025). Single-cell Rapid Capture Hybridization sequencing reliably detects isoform usage and coding mutations in targeted genes. Genome Research. 35(4). 942–955. 1 indexed citations

Vince, James E., N. Davidson, & Maria C. Tanzer. (2025). Necroptotic cell death consequences and disease relevance. Nature Immunology. 26(11). 1863–1876.

Ang, Ching‐Seng, N. Davidson, Anita Quigley, et al.. (2024). Novel CDKL5 targets identified in human iPSC-derived neurons. Cellular and Molecular Life Sciences. 81(1). 347–347. 1 indexed citations

Ritchie, Matthew E., et al.. (2024). Flexiplex: a versatile demultiplexer and search tool for omics data. Bioinformatics. 40(3). 5 indexed citations

Brown, Lauren M., Georgina L. Ryland, Andrew Lonsdale, et al.. (2022). ALLSorts: an RNA-Seq subtype classifier for B-cell acute lymphoblastic leukemia. Blood Advances. 6(14). 4093–4097. 27 indexed citations

Davidson, N., Teresa Sadras, Georgina L. Ryland, et al.. (2022). JAFFAL: detecting fusion genes with long-read transcriptome sequencing. Genome biology. 23(1). 10–10. 33 indexed citations

Cmero, Marek, et al.. (2021). MINTIE: identifying novel structural and splice variants in transcriptomes using RNA-seq data. Genome biology. 22(1). 296–296. 11 indexed citations

Brown, Lauren M., Andrew Lonsdale, N. Davidson, et al.. (2020). The application of RNA sequencing for the diagnosis and genomic classification of pediatric acute lymphoblastic leukemia. Blood Advances. 4(5). 930–942. 53 indexed citations

Davidson, N. & Alicia Oshlack. (2018). Necklace: combining reference and assembled transcriptomes for more comprehensive RNA-Seq analysis. GigaScience. 7(5). 7 indexed citations

10.

Davidson, N., et al.. (2018). Clinker: visualizing fusion genes detected in RNA-seq data. GigaScience. 7(7). 14 indexed citations

11.

Farlie, Peter G., N. Davidson, Naomi L. Baker, et al.. (2017). Co-option of the cardiac transcription factor Nkx2.5 during development of the emu wing. Nature Communications. 8(1). 132–132. 19 indexed citations

12.

Davidson, N., et al.. (2017). SuperTranscripts: a data driven reference for analysis and visualisation of transcriptomes. Genome biology. 18(1). 148–148. 82 indexed citations

13.

Smith, Craig A., Peter G. Farlie, N. Davidson, et al.. (2016). Limb patterning genes and heterochronic development of the emu wing bud. EvoDevo. 7(1). 26–26. 15 indexed citations

14.

Davidson, N., Ian J. Majewski, & Alicia Oshlack. (2015). JAFFA: High sensitivity transcriptome-focused fusion gene detection. Genome Medicine. 7(1). 43–43. 109 indexed citations

15.

Ayers, Katie, Luke S. Lambeth, N. Davidson, et al.. (2015). Identification of candidate gonadal sex differentiation genes in the chicken embryo using RNA-seq. BMC Genomics. 16(1). 704–704. 49 indexed citations

16.

Davidson, N., T. Przedziński, & Z. Wa̧s. (2015). PHOTOS interface in C++. Computer Physics Communications. 199. 86–101. 44 indexed citations

17.

Cutting, Andrew, Katie Ayers, N. Davidson, et al.. (2014). Identification, Expression, and Regulation of Anti-Müllerian Hormone Type-II Receptor in the Embryonic Chicken Gonad1. Biology of Reproduction. 90(5). 106–106. 28 indexed citations

18.

Davidson, N. & Alicia Oshlack. (2014). Corset: enabling differential gene expression analysis for. Genome Biology. 15(7). 410–410. 14 indexed citations

19.

Kim, Ji Hun, Tao Zhang, Nicholas C. Wong, et al.. (2013). Condensin I associates with structural and gene regulatory regions in vertebrate chromosomes. Nature Communications. 4(1). 2537–2537. 61 indexed citations

20.

Davidson, N., P. Golonka, T. Przedziński, & Z. Wa̧s. (2010). MC-TESTER v. 1.23: A universal tool for comparisons of Monte Carlo predictions for particle decays in high energy physics. Computer Physics Communications. 182(3). 779–789. 14 indexed citations

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.

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