Thomas E. Bartlett

2.9k total citations · 1 hit paper
22 papers, 1.9k citations indexed

About

Thomas E. Bartlett is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Thomas E. Bartlett has authored 22 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Thomas E. Bartlett's work include Epigenetics and DNA Methylation (8 papers), Neuroscience and Neuropharmacology Research (5 papers) and Genetic Syndromes and Imprinting (3 papers). Thomas E. Bartlett is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Neuroscience and Neuropharmacology Research (5 papers) and Genetic Syndromes and Imprinting (3 papers). Thomas E. Bartlett collaborates with scholars based in United Kingdom, United States and Canada. Thomas E. Bartlett's co-authors include Stephan Beck, Andrew E. Teschendorff, Jesper Tegnér, Matthias Lechner, David Gómez-Cabrero, Francesco Marabita, Yu Tian Wang, Ann Marie Craig, Tuhina Prasad and Hideto Takahashi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Thomas E. Bartlett

19 papers receiving 1.8k citations

Hit Papers

A beta-mixture quantile normalization method for correcti... 2012 2026 2016 2021 2012 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas E. Bartlett United Kingdom 13 1.3k 409 294 229 206 22 1.9k
Thomas Vaissière United States 21 1.6k 1.2× 208 0.5× 367 1.2× 122 0.5× 266 1.3× 28 2.1k
Zheng Xiao China 23 557 0.4× 291 0.7× 186 0.6× 207 0.9× 219 1.1× 87 1.6k
Kan Ding United States 19 1.0k 0.8× 364 0.9× 310 1.1× 157 0.7× 536 2.6× 60 2.3k
Jillian S. Parboosingh Canada 29 936 0.7× 215 0.5× 617 2.1× 306 1.3× 142 0.7× 85 2.0k
Li Feng China 24 713 0.6× 300 0.7× 199 0.7× 122 0.5× 354 1.7× 109 2.1k
David T. Croke Ireland 25 969 0.8× 709 1.7× 260 0.9× 109 0.5× 84 0.4× 58 1.9k
Amit Kaushal United States 10 1.6k 1.3× 880 2.2× 270 0.9× 134 0.6× 315 1.5× 16 3.4k
Mrinalini Honavar Portugal 28 802 0.6× 514 1.3× 117 0.4× 228 1.0× 299 1.5× 70 2.5k
Nina Mononen Finland 30 954 0.7× 176 0.4× 501 1.7× 133 0.6× 214 1.0× 88 2.4k
Colin Sharpe United Kingdom 27 1.2k 1.0× 291 0.7× 481 1.6× 73 0.3× 234 1.1× 60 2.2k

Countries citing papers authored by Thomas E. Bartlett

Since Specialization
Citations

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

Fields of papers citing papers by Thomas E. Bartlett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas E. Bartlett. 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 Thomas E. Bartlett. The network helps show where Thomas E. Bartlett may publish in the future.

Co-authorship network of co-authors of Thomas E. Bartlett

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas E. Bartlett. A scholar is included among the top collaborators of Thomas E. Bartlett 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 Thomas E. Bartlett. Thomas E. Bartlett 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.
Chindera, Kantaraja, May Sabry, Nafisa Wilkinson, et al.. (2024). Natural Killer Cell Dysfunction in Premenopausal BRCA1 Mutation Carriers: A Potential Mechanism for Ovarian Carcinogenesis. Cancers. 16(6). 1186–1186.
2.
Alanis‐Lobato, Gregorio, Thomas E. Bartlett, Claire Simon, et al.. (2023). MICA: a multi-omics method to predict gene regulatory networks in early human embryos. Life Science Alliance. 7(1). e202302415–e202302415. 9 indexed citations
3.
Barrett, James E., Chiara Herzog, Yoo‐Na Kim, et al.. (2022). Susceptibility to hormone-mediated cancer is reflected by different tick rates of the epithelial and general epigenetic clock. Genome biology. 23(1). 52–52. 7 indexed citations
4.
6.
Bartlett, Thomas E., Sören Müller, & Aarón Díaz. (2017). Single-cell Co-expression Subnetwork Analysis. Scientific Reports. 7(1). 15066–15066. 13 indexed citations
7.
Bartlett, Thomas E., et al.. (2017). Parenclitic Network Analysis of Methylation Data for Cancer Identification. PLoS ONE. 12(1). e0169661–e0169661. 18 indexed citations
8.
Bartlett, Thomas E., Kantaraja Chindera, Jacqueline McDermott, et al.. (2016). Epigenetic reprogramming of fallopian tube fimbriae in BRCA mutation carriers defines early ovarian cancer evolution. Nature Communications. 7(1). 11620–11620. 51 indexed citations
9.
Bartlett, Thomas E.. (2016). Network inference and community detection, based on covariance matrices, correlations, and test statistics from arbitrary distributions. Communication in Statistics- Theory and Methods. 46(18). 9150–9165. 4 indexed citations
10.
Bartlett, Thomas E., Allison Jones, Ellen L. Goode, et al.. (2015). Intra-Gene DNA Methylation Variability Is a Clinically Independent Prognostic Marker in Women’s Cancers. PLoS ONE. 10(12). e0143178–e0143178. 12 indexed citations
11.
Carén, Helena, Stefan H. Stricker, Harry Bulstrode, et al.. (2015). Glioblastoma Stem Cells Respond to Differentiation Cues but Fail to Undergo Commitment and Terminal Cell-Cycle Arrest. Stem Cell Reports. 5(5). 829–842. 82 indexed citations
12.
Bartlett, Thomas E., Adam M. Sykulski, Sofia C. Olhede, Jonathan M. Lilly, & Jeffrey J. Early. (2015). A Power Variance Test for Nonstationarity in Complex-Valued Signals. Spiral (Imperial College London). 21. 911–916. 2 indexed citations
13.
Bartlett, Thomas E., Sofia C. Olhede, & Alexey Zaikin. (2014). A DNA Methylation Network Interaction Measure, and Detection of Network Oncomarkers. PLoS ONE. 9(1). e84573–e84573. 18 indexed citations
14.
Bartlett, Thomas E. & Yu Tian Wang. (2013). The intersections of NMDAR-dependent synaptic plasticity and cell survival. Neuropharmacology. 74. 59–68. 39 indexed citations
15.
Bartlett, Thomas E., Alexey Zaikin, Sofia C. Olhede, et al.. (2013). Corruption of the Intra-Gene DNA Methylation Architecture Is a Hallmark of Cancer. PLoS ONE. 8(7). e68285–e68285. 14 indexed citations
16.
Takahashi, Hideto, Pamela Arstikaitis, Tuhina Prasad, et al.. (2011). Postsynaptic TrkC and Presynaptic PTPσ Function as a Bidirectional Excitatory Synaptic Organizing Complex. Neuron. 69(2). 287–303. 163 indexed citations
18.
Bartlett, Thomas E., Neil Bannister, Valerie J. Collett, et al.. (2006). Differential roles of NR2A and NR2B-containing NMDA receptors in LTP and LTD in the CA1 region of two-week old rat hippocampus. Neuropharmacology. 52(1). 60–70. 223 indexed citations
19.
Bartlett, Thomas E., et al.. (1983). INNOVATIONS IN TALENT IDENTIFICATION.. 48(4). 16–24. 3 indexed citations
20.
Bartlett, Thomas E., et al.. (1974). Evaluating managerial personnel. Omega. 2(6). 815–819. 4 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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