Owen J. L. Rackham

12.8k total citations · 2 hit papers
40 papers, 2.0k citations indexed

About

Owen J. L. Rackham is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Owen J. L. Rackham has authored 40 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Owen J. L. Rackham's work include Single-cell and spatial transcriptomics (11 papers), Genomics and Phylogenetic Studies (9 papers) and Bioinformatics and Genomic Networks (7 papers). Owen J. L. Rackham is often cited by papers focused on Single-cell and spatial transcriptomics (11 papers), Genomics and Phylogenetic Studies (9 papers) and Bioinformatics and Genomic Networks (7 papers). Owen J. L. Rackham collaborates with scholars based in Singapore, United Kingdom and Australia. Owen J. L. Rackham's co-authors include John F. Ouyang, José M. Polo, Enrico Petretto, Julian Gough, Ryan Lister, Daniel Poppe, Guizhi Sun, Hai Fang, Elaine Yiqun Cao and Jahnvi Pflueger and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Owen J. L. Rackham

39 papers receiving 1.9k 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.

A single-cell atlas of entorhinal cortex from individuals with Alzheimer’s disease reveals cell-type-specific gene expression regulation

2019 555 citations Alexandra Grubman, Gabriel Chew et al. Nature Neuroscience profile →
Modelling human blastocysts by reprogramming fibroblasts into iBlastoids

2021 240 citations Xiaodong Liu, Jia Ping Tan et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Owen J. L. Rackham Singapore	18	1.4k	333	273	190	160	40	2.0k
Pablo J. Sáez Chile	25	1.5k 1.0×	240 0.7×	521 1.9×	346 1.8×	131 0.8×	44	2.6k
Tomohito Higashi Japan	27	1.0k 0.7×	690 2.1×	131 0.5×	199 1.0×	89 0.6×	53	2.0k
Junlin Teng China	25	1.5k 1.1×	161 0.5×	310 1.1×	112 0.6×	305 1.9×	66	2.9k
Chantal M. Longo-Guess United States	18	1.5k 1.0×	224 0.7×	173 0.6×	164 0.9×	291 1.8×	24	2.2k
Hiroki Kaneko Japan	25	934 0.7×	170 0.5×	132 0.5×	166 0.9×	96 0.6×	103	2.2k
Thomas Burgoyne United Kingdom	24	1.0k 0.7×	93 0.3×	159 0.6×	120 0.6×	240 1.5×	64	1.7k
Maria Cristina Gagliani Italy	18	1.5k 1.1×	128 0.4×	219 0.8×	166 0.9×	75 0.5×	40	2.1k
Uri Manor United States	22	1.1k 0.8×	151 0.5×	242 0.9×	96 0.5×	57 0.4×	54	2.0k
Rosa M. Rı́os Spain	25	1.3k 0.9×	188 0.6×	151 0.6×	85 0.4×	286 1.8×	45	2.2k
Martina P. Pasillas United States	17	1.3k 0.9×	686 2.1×	254 0.9×	713 3.8×	147 0.9×	20	2.4k

Countries citing papers authored by Owen J. L. Rackham

Since Specialization

Citations

This map shows the geographic impact of Owen J. L. Rackham'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 Owen J. L. Rackham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Owen J. L. Rackham more than expected).

Fields of papers citing papers by Owen J. L. Rackham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Owen J. L. Rackham. 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 Owen J. L. Rackham. The network helps show where Owen J. L. Rackham may publish in the future.

Co-authorship network of co-authors of Owen J. L. Rackham

This figure shows the co-authorship network connecting the top 25 collaborators of Owen J. L. Rackham. A scholar is included among the top collaborators of Owen J. L. Rackham 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 Owen J. L. Rackham. Owen J. L. Rackham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Miljković, Filip, et al.. (2025). Mask-prior-guided denoising diffusion improves inverse protein folding. Nature Machine Intelligence. 7(6). 876–888. 1 indexed citations

Alharbi, Hajed Obaid, Sonia Chothani, Owen J. L. Rackham, et al.. (2024). Striatin plays a major role in angiotensin II-induced cardiomyocyte and cardiac hypertrophy in mice in vivo. Clinical Science. 138(10). 573–597. 2 indexed citations

Fernandes, Maria, Sonia Chothani, Owen J. L. Rackham, et al.. (2024). Differences in 5'untranslated regions highlight the importance of translational regulation of dosage sensitive genes. Genome biology. 25(1). 111–111. 12 indexed citations

Cao, Elaine Yiqun, Lisda Suteja, Constance H. Li, et al.. (2023). Single cell analysis in head and neck cancer reveals potential immune evasion mechanisms during early metastasis. Nature Communications. 14(1). 1680–1680. 65 indexed citations

Lee, Cheryl, Sonia Chothani, Shan Zhang, et al.. (2021). Coding and non-coding roles of MOCCI (C15ORF48) coordinate to regulate host inflammation and immunity. Nature Communications. 12(1). 2130–2130. 64 indexed citations

Liu, Xiaodong, Jia Ping Tan, Jan Schröder, et al.. (2021). Modelling human blastocysts by reprogramming fibroblasts into iBlastoids. Nature. 591(7851). 627–632. 240 indexed citations breakdown →

Ouyang, John F., Uma S. Kamaraj, Elaine Yiqun Cao, & Owen J. L. Rackham. (2021). ShinyCell: simple and sharable visualization of single-cell gene expression data. Bioinformatics. 37(19). 3374–3376. 100 indexed citations

Guo, Jing, Owen J. L. Rackham, Niina Sandholm, et al.. (2020). Whole-Genome Sequencing of Finnish Type 1 Diabetic Siblings Discordant for Kidney Disease Reveals DNA Variants associated with Diabetic Nephropathy. Journal of the American Society of Nephrology. 31(2). 309–323. 13 indexed citations

Cao, Elaine Yiqun, John F. Ouyang, & Owen J. L. Rackham. (2020). GeneSwitches: ordering gene expression and functional events in single-cell experiments. Bioinformatics. 36(10). 3273–3275. 41 indexed citations

10.

Kamaraj, Uma S., Joseph Chen, John F. Ouyang, et al.. (2020). EpiMogrify Models H3K4me3 Data to Identify Signaling Molecules that Improve Cell Fate Control and Maintenance. Cell Systems. 11(5). 509–522.e10. 9 indexed citations

11.

Grubman, Alexandra, Gabriel Chew, John F. Ouyang, et al.. (2019). A single-cell atlas of entorhinal cortex from individuals with Alzheimer’s disease reveals cell-type-specific gene expression regulation. Nature Neuroscience. 22(12). 2087–2097. 555 indexed citations breakdown →

12.

Rackham, Owen J. L., Sarah R. Langley, Thomas Oates, et al.. (2017). A Bayesian Approach for Analysis of Whole-Genome Bisulfite Sequencing Data Identifies Disease-Associated Changes in DNA Methylation. Genetics. 205(4). 1443–1458. 9 indexed citations

13.

Rackham, Owen J. L., et al.. (2015). Function-selective domain architecture plasticity potentials in eukaryotic genome evolution. Biochimie. 119. 269–277. 4 indexed citations

14.

Rackham, Owen J. L., et al.. (2015). Web-based Gene Pathogenicity Analysis (WGPA): a web platform to interpret gene pathogenicity from personal genome data. Bioinformatics. 32(4). 635–637.

15.

Zaucha, Jan, Matt E. Oates, Natalie Thurlby, et al.. (2014). A P roteome Q uality I ndex. Environmental Microbiology. 17(1). 4–9. 5 indexed citations

16.

Rackham, Owen J. L., Hashem A. Shihab, Michael R. Johnson, & Enrico Petretto. (2014). EvoTol: a protein-sequence based evolutionary intolerance framework for disease-gene prioritization. Nucleic Acids Research. 43(5). e33–e33. 22 indexed citations

17.

Oates, Matt E., Hai Fang, Alistair R. R. Forrest, et al.. (2014). The Evolution of Human Cells in Terms of Protein Innovation. Molecular Biology and Evolution. 31(6). 1364–1374. 13 indexed citations

18.

Fang, Hai, Matt E. Oates, Jenny M. Greenwood, et al.. (2013). A daily-updated tree of (sequenced) life as a reference for genome research. Scientific Reports. 3(1). 2015–2015. 37 indexed citations

19.

Gasson, E., Mark E. Siddall, Daniel J. Lunt, et al.. (2011). Exploring uncertainties in the relationship between temperature, ice volume, and sea level over the past 50 million years. Reviews of Geophysics. 50(1). 34 indexed citations

20.

Rackham, Owen J. L., Martin Madera, Craig T. Armstrong, et al.. (2010). The Evolution and Structure Prediction of Coiled Coils across All Genomes. Journal of Molecular Biology. 403(3). 480–493. 77 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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