Seth W. Cheetham

2.4k total citations · 1 hit paper
26 papers, 1.3k citations indexed

About

Seth W. Cheetham is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Seth W. Cheetham has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 7 papers in Cancer Research and 3 papers in Plant Science. Recurrent topics in Seth W. Cheetham's work include RNA modifications and cancer (11 papers), RNA and protein synthesis mechanisms (8 papers) and Genomics and Phylogenetic Studies (6 papers). Seth W. Cheetham is often cited by papers focused on RNA modifications and cancer (11 papers), RNA and protein synthesis mechanisms (8 papers) and Genomics and Phylogenetic Studies (6 papers). Seth W. Cheetham collaborates with scholars based in Australia, United Kingdom and United States. Seth W. Cheetham's co-authors include Marcel E. Dinger, John S. Mattick, Franziska Gruhl, Geoffrey J. Faulkner, Andrea H. Brand, Tony D. Southall, Adam D. Ewing, Owen J. Marshall, Paul M. Brennan and J Faivre and has published in prestigious journals such as Science, Nature Communications and Molecular Cell.

In The Last Decade

Seth W. Cheetham

25 papers receiving 1.3k citations

Hit Papers

Long noncoding RNAs and the genetics of cancer 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seth W. Cheetham Australia 14 1.1k 709 160 94 65 26 1.3k
Vamsi K. Gangaraju United States 13 1.2k 1.1× 664 0.9× 139 0.9× 67 0.7× 38 0.6× 18 1.5k
Anita L Steptoe Australia 8 1.2k 1.1× 639 0.9× 114 0.7× 130 1.4× 27 0.4× 8 1.5k
Masaaki Furuno Japan 16 1.2k 1.0× 631 0.9× 56 0.3× 114 1.2× 28 0.4× 27 1.3k
Dachang Tao China 18 623 0.6× 294 0.4× 198 1.2× 239 2.5× 42 0.6× 67 1000
Vera Huang United States 17 1.1k 0.9× 614 0.9× 95 0.6× 86 0.9× 24 0.4× 24 1.2k
Andrew Keniry Australia 12 1.1k 0.9× 575 0.8× 118 0.7× 316 3.4× 55 0.8× 20 1.3k
Emily J. Wood United States 7 967 0.9× 334 0.5× 51 0.3× 110 1.2× 51 0.8× 8 1.3k
Guifeng Wei United Kingdom 18 1.1k 1.0× 579 0.8× 52 0.3× 188 2.0× 44 0.7× 33 1.3k
Huifeng Zhu United States 9 752 0.7× 677 1.0× 114 0.7× 86 0.9× 38 0.6× 15 1.1k
Jasmina Ponjavic United Kingdom 7 1.3k 1.2× 801 1.1× 147 0.9× 138 1.5× 47 0.7× 7 1.5k

Countries citing papers authored by Seth W. Cheetham

Since Specialization
Citations

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

Fields of papers citing papers by Seth W. Cheetham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seth W. Cheetham. 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 Seth W. Cheetham. The network helps show where Seth W. Cheetham may publish in the future.

Co-authorship network of co-authors of Seth W. Cheetham

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

All Works

20 of 20 papers shown
1.
Leighton, Laura J., Natasha Chaudhary, Abhishek Kulkarni, et al.. (2025). The design, manufacture and LNP formulation of mRNA for research use. Nature Protocols. 20(12). 3552–3581. 1 indexed citations
2.
Mercer, Tim R., et al.. (2025). Targeted mRNA delivery with bispecific antibodies that tether LNPs to cell surface markers. Molecular Therapy — Nucleic Acids. 36(2). 102520–102520. 10 indexed citations
3.
Ameele, Jelle van den, Michael Trauner, Alex P. A. Donovan, et al.. (2025). Targeted DamID detects cell-type-specific histone modifications in intact tissues or organisms. PLoS Biology. 23(3). e3002944–e3002944. 1 indexed citations
4.
Rossi, Gustavo Rodrigues, Jane Sun, Cheng‐Yu Lin, et al.. (2024). A scalable, spin‐free approach to generate enhanced induced pluripotent stem cell–derived natural killer cells for cancer immunotherapy. Immunology and Cell Biology. 102(10). 924–934. 3 indexed citations
5.
Iannotta, Dalila, et al.. (2023). Vasculature organotropism in drug delivery. Advanced Drug Delivery Reviews. 201. 115054–115054. 17 indexed citations
6.
Gunter, Helen M., Senel Idrisoglu, Swati Singh, et al.. (2023). mRNA vaccine quality analysis using RNA sequencing. Nature Communications. 14(1). 5663–5663. 27 indexed citations
7.
Cheetham, Seth W., et al.. (2022). Methylartist: tools for visualizing modified bases from nanopore sequence data. Bioinformatics. 38(11). 3109–3112. 32 indexed citations
8.
Sánchez‐Luque, Francisco J., Jay Rasmussen, Gabriela O. Bodea, et al.. (2022). Somatic retrotransposition in the developing rhesus macaque brain. Genome Research. 32(7). 1298–1314. 7 indexed citations
9.
Ameele, Jelle van den, Robert Krautz, Seth W. Cheetham, et al.. (2022). Reduced chromatin accessibility correlates with resistance to Notch activation. Nature Communications. 13(1). 2210–2210. 12 indexed citations
10.
Wade, A. Ayanna, et al.. (2021). In vivo targeted DamID identifies CHD8 genomic targets in fetal mouse brain. iScience. 24(11). 103234–103234. 6 indexed citations
11.
Mercer, Tim R., et al.. (2021). Long-read cDNA sequencing identifies functional pseudogenes in the human transcriptome. Genome biology. 22(1). 146–146. 25 indexed citations
12.
Ewing, Adam D., Francisco J. Sánchez‐Luque, J Faivre, et al.. (2020). Nanopore Sequencing Enables Comprehensive Transposable Element Epigenomic Profiling. Molecular Cell. 80(5). 915–928.e5. 118 indexed citations
13.
Cheetham, Seth W., Geoffrey J. Faulkner, & Marcel E. Dinger. (2019). Overcoming challenges and dogmas to understand the functions of pseudogenes. Nature Reviews Genetics. 21(3). 191–201. 155 indexed citations
14.
Gloss, Brian, Bethany Signal, Seth W. Cheetham, et al.. (2017). High resolution temporal transcriptomics of mouse embryoid body development reveals complex expression dynamics of coding and noncoding loci. Scientific Reports. 7(1). 6731–6731. 11 indexed citations
15.
Cheetham, Seth W. & Andrea H. Brand. (2017). RNA-DamID reveals cell-type-specific binding of roX RNAs at chromatin-entry sites. Nature Structural & Molecular Biology. 25(1). 109–114. 23 indexed citations
16.
Bell, Charles C., Paulo Amaral, Anton M.F. Kalsbeek, et al.. (2016). The Evx1/Evx1as gene locus regulates anterior-posterior patterning during gastrulation. Scientific Reports. 6(1). 26657–26657. 21 indexed citations
17.
Marshall, Owen J., Tony D. Southall, Seth W. Cheetham, & Andrea H. Brand. (2016). Cell-type-specific profiling of protein–DNA interactions without cell isolation using targeted DamID with next-generation sequencing. Nature Protocols. 11(9). 1586–1598. 84 indexed citations
18.
Otsuki, Leo, Seth W. Cheetham, & Andrea H. Brand. (2014). Freedom of expression: cell‐type‐specific gene profiling. Wiley Interdisciplinary Reviews Developmental Biology. 3(6). 429–443. 7 indexed citations
19.
Cheetham, Seth W., Franziska Gruhl, John S. Mattick, & Marcel E. Dinger. (2013). Long noncoding RNAs and the genetics of cancer. British Journal of Cancer. 108(12). 2419–2425. 605 indexed citations breakdown →
20.
Gascoigne, Dennis, Seth W. Cheetham, Pierre B. Cattenoz, et al.. (2012). Pinstripe: a suite of programs for integrating transcriptomic and proteomic datasets identifies novel proteins and improves differentiation of protein-coding and non-coding genes. Bioinformatics. 28(23). 3042–3050. 56 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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