Kyle R. Upton

2.5k total citations · 1 hit paper
17 papers, 1.2k citations indexed

About

Kyle R. Upton is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Kyle R. Upton has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Plant Science and 4 papers in Genetics. Recurrent topics in Kyle R. Upton's work include Chromosomal and Genetic Variations (8 papers), CRISPR and Genetic Engineering (6 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Kyle R. Upton is often cited by papers focused on Chromosomal and Genetic Variations (8 papers), CRISPR and Genetic Engineering (6 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Kyle R. Upton collaborates with scholars based in Australia, United Kingdom and United States. Kyle R. Upton's co-authors include Geoffrey J. Faulkner, Paul M. Brennan, Daniel J. Gerhardt, Adam D. Ewing, J. Kenneth Baillie, Mark Fell, David Hume, Mark Barnett, Peter Heutink and Todd Richmond and has published in prestigious journals such as Nature, Cell and Scientific Reports.

In The Last Decade

Kyle R. Upton

17 papers receiving 1.2k 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.

Somatic retrotransposition alters the genetic landscape of the human brain

2011 517 citations J. Kenneth Baillie, Mark Barnett 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
Kyle R. Upton Australia	11	959	663	296	122	43	17	1.2k
Jerry Davison United States	14	1.0k 1.1×	404 0.6×	189 0.6×	124 1.0×	34 0.8×	19	1.4k
Corinna Steindler Italy	10	698 0.7×	472 0.7×	183 0.6×	80 0.7×	75 1.7×	11	1.1k
Wesley D. Gifford United States	9	1.7k 1.8×	390 0.6×	215 0.7×	219 1.8×	29 0.7×	9	1.9k
Aydan Bulut-Karslıoğlu Germany	12	1.2k 1.3×	321 0.5×	140 0.5×	119 1.0×	33 0.8×	20	1.4k
Mary B. Comer United States	13	886 0.9×	465 0.7×	176 0.6×	33 0.3×	30 0.7×	17	1.1k
Tomoyuki Furuta Japan	18	290 0.3×	466 0.7×	363 1.2×	44 0.4×	44 1.0×	44	980
Galih Kunarso Singapore	7	887 0.9×	325 0.5×	157 0.5×	89 0.7×	11 0.3×	8	954
Thomas L. Gallagher United States	10	601 0.6×	251 0.4×	175 0.6×	25 0.2×	25 0.6×	17	779
Charlotte N. Henrichsen Switzerland	8	493 0.5×	230 0.3×	599 2.0×	115 0.9×	13 0.3×	9	877
Michelle Zhou Canada	9	889 0.9×	115 0.2×	247 0.8×	119 1.0×	17 0.4×	11	1.1k

Countries citing papers authored by Kyle R. Upton

Since Specialization

Citations

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

Fields of papers citing papers by Kyle R. Upton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle R. Upton. 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 Kyle R. Upton. The network helps show where Kyle R. Upton may publish in the future.

Co-authorship network of co-authors of Kyle R. Upton

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

All Works

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17 of 17 papers shown

Rothnagel, Joseph A., et al.. (2021). Integrated transcription factor profiling with transcriptome analysis identifies L1PA2 transposons as global regulatory modulators in a breast cancer model. Scientific Reports. 11(1). 8083–8083. 3 indexed citations

Rothnagel, Joseph A., et al.. (2021). Widespread Exaptation of L1 Transposons for Transcription Factor Binding in Breast Cancer. International Journal of Molecular Sciences. 22(11). 5625–5625. 7 indexed citations

Hulme, Katina D., Cassandra L. Pegg, Helle Bielefeldt‐Ohmann, et al.. (2021). A paucigranulocytic asthma host environment promotes the emergence of virulent influenza viral variants. eLife. 10. 6 indexed citations

Hulme, Katina D., Limin Yan, Conor J. Bloxham, et al.. (2020). High glucose levels increase influenza-associated damage to the pulmonary epithelial-endothelial barrier. eLife. 9. 27 indexed citations

Upton, Kyle R., et al.. (2019). Human transposons are an abundant supply of transcription factor binding sites and promoter activities in breast cancer cell lines. Mobile DNA. 10(1). 16–16. 23 indexed citations

Carreira, Patricia E., Adam D. Ewing, Guibo Li, et al.. (2016). Evidence for L1-associated DNA rearrangements and negligible L1 retrotransposition in glioblastoma multiforme. Mobile DNA. 7(1). 21–21. 25 indexed citations

Upton, Kyle R., Daniel J. Gerhardt, Sandra R. Richardson, et al.. (2015). Ubiquitous L1 Mosaicism in Hippocampal Neurons. Cell. 161(2). 228–239. 235 indexed citations

Upton, Kyle R. & Geoffrey J. Faulkner. (2014). Blood from ‘junk’: the LTR chimeric transcript Pu.2 promotes erythropoiesis. Mobile DNA. 5(1). 15–15. 4 indexed citations

Sólyom, Szilvia, Adam D. Ewing, Eric P. Rahrmann, et al.. (2012). Extensive somatic L1 retrotransposition in colorectal tumors. Genome Research. 22(12). 2328–2338. 192 indexed citations

10.

Baillie, J. Kenneth, Mark Barnett, Kyle R. Upton, et al.. (2011). Somatic retrotransposition alters the genetic landscape of the human brain. Nature. 479(7374). 534–537. 517 indexed citations breakdown →

11.

Upton, Kyle R., J. Kenneth Baillie, & Geoffrey J. Faulkner. (2011). Is somatic retrotransposition a parasitic or symbiotic phenomenon?. Mobile Genetic Elements. 1(4). 279–328. 14 indexed citations

12.

Liu, Jun, Hüseyin Sümer, Jessie Leung, et al.. (2010). Late Passage Human Fibroblasts Induced to Pluripotency Are Capable of Directed Neuronal Differentiation. Cell Transplantation. 20(2). 193–204. 17 indexed citations

13.

Sümer, Hüseyin, et al.. (2010). The Efficient Generation of Induced Pluripotent Stem (iPS) Cells from Adult Mouse Adipose Tissue-Derived and Neural Stem Cells. Cell Transplantation. 19(5). 525–536. 61 indexed citations

14.

Sümer, Hüseyin, Karen L. Jones, Junping Liu, et al.. (2009). Reprogramming of Somatic Cells After Fusion With Induced Pluripotent Stem Cells and Nuclear Transfer Embryonic Stem Cells. Stem Cells and Development. 19(2). 239–246. 18 indexed citations

15.

Osselton, M. David, et al.. (1991). The Effect of Salbutamol on Breath Alcohol Testing in Asthmatics. Medicine Science and the Law. 31(3). 226–228. 9 indexed citations

16.

Osselton, M. David, et al.. (1991). Study into the Ability of Patients with Impaired Lung Function to Use Breath Alcohol Testing Devices. Medicine Science and the Law. 31(3). 221–225. 12 indexed citations

17.

Sanders, T. A. B., Laurence Lovat, Mahesh Mistry, Kyle R. Upton, & Sullivan. (1987). INFLUENCE OF A MACKEREL DIET ON PLASMA-LIPOPROTEINS AND PLATELET-FUNCTION. UCL Discovery (University College London). 2 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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