Thomas B. Nicholson

1.8k total citations · 1 hit paper
14 papers, 867 citations indexed

About

Thomas B. Nicholson is a scholar working on Molecular Biology, Cell Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Thomas B. Nicholson has authored 14 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Thomas B. Nicholson's work include Epigenetics and DNA Methylation (7 papers), Cancer-related gene regulation (4 papers) and Congenital heart defects research (2 papers). Thomas B. Nicholson is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Cancer-related gene regulation (4 papers) and Congenital heart defects research (2 papers). Thomas B. Nicholson collaborates with scholars based in United States, Switzerland and China. Thomas B. Nicholson's co-authors include Taiping Chen, Stéphane Richard, Andrew J. Barbera, Li Tan, Lingchun Kong, Jie Deng, Yang Shi, Jinrong Min, Stephen Huang and Feizhen Wu and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Thomas B. Nicholson

14 papers receiving 853 citations

Hit Papers

Genome-wide Regulation of 5hmC, 5mC, and Gene Expression ... 2011 2026 2016 2021 2011 100 200 300 400
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.

  1. Genome-wide Regulation of 5hmC, 5mC, and Gene Expression by Tet1 Hydroxylase in Mouse Embryonic Stem Cells
    2011 493 citations Yufei Xu, Feizhen Wu et al. Molecular Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas B. Nicholson United States 10 768 136 53 50 43 14 867
Lijun Xiong China 12 869 1.1× 207 1.5× 52 1.0× 79 1.6× 27 0.6× 16 1.0k
Moyra Lawrence United Kingdom 5 816 1.1× 104 0.8× 38 0.7× 92 1.8× 38 0.9× 7 954
Ashley C. Kramer United States 13 490 0.6× 75 0.6× 25 0.5× 58 1.2× 23 0.5× 28 653
Dario Nicetto United States 7 681 0.9× 82 0.6× 23 0.4× 50 1.0× 25 0.6× 10 770
Diana Reinhardt United Kingdom 6 610 0.8× 169 1.2× 53 1.0× 71 1.4× 19 0.4× 7 722
Wee‐Wei Tee Singapore 13 1.2k 1.6× 154 1.1× 29 0.5× 100 2.0× 49 1.1× 20 1.4k
Jeffrey Bajko United States 6 1.2k 1.6× 303 2.2× 125 2.4× 77 1.5× 38 0.9× 6 1.3k
Maja Klug Germany 9 660 0.9× 139 1.0× 48 0.9× 86 1.7× 38 0.9× 10 857
Phuc‐Loi Luu Australia 12 695 0.9× 154 1.1× 20 0.4× 129 2.6× 20 0.5× 19 802
Isabelle De Bie Canada 9 628 0.8× 70 0.5× 144 2.7× 38 0.8× 48 1.1× 27 918

Countries citing papers authored by Thomas B. Nicholson

Since Specialization
Citations

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

Fields of papers citing papers by Thomas B. Nicholson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas B. Nicholson

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

All Works

14 of 14 papers shown
1.
Paul, Atanu, Stefano Annunziato, Bo Lü, et al.. (2022). Cell adhesion molecule KIRREL1 is a feedback regulator of Hippo signaling recruiting SAV1 to cell-cell contact sites. Nature Communications. 13(1). 930–930. 21 indexed citations
2.
Hino, Shinjiro, Katsuya Nagaoka, Kotaro Anan, et al.. (2019). Lysine‐specific demethylase‐2 is distinctively involved in brown and beige adipogenic differentiation. The FASEB Journal. 33(4). 5300–5311. 7 indexed citations
3.
Tang, Cong, Iwona Ksiazek, Valérie Beck, et al.. (2019). UTS2B Defines a Novel Enteroendocrine Cell Population and Regulates GLP-1 Secretion Through SSTR5 in Male Mice. Endocrinology. 160(12). 2849–2860. 4 indexed citations
4.
Lynch, Jeffrey M., Bing Li, Chuanxi Xiang, et al.. (2018). Binding of a glaucoma-associated myocilin variant to the αB-crystallin chaperone impedes protein clearance in trabecular meshwork cells. Journal of Biological Chemistry. 293(52). 20137–20156. 11 indexed citations
5.
Calabretta, Sara, Gillian Vogel, Zhenbao Yu, et al.. (2018). Loss of PRMT5 Promotes PDGFRα Degradation during Oligodendrocyte Differentiation and Myelination. Developmental Cell. 46(4). 426–440.e5. 44 indexed citations
6.
Martin, Francis J., Yong Xu, Felix Lohmann, et al.. (2015). KMT1E-mediated chromatin modifications at the FcγRIIb promoter regulate thymocyte development. Genes and Immunity. 16(2). 162–169. 12 indexed citations
7.
Nicholson, Thomas B., Anup K. Singh, Hui Su, et al.. (2013). A Hypomorphic Lsd1 Allele Results in Heart Development Defects in Mice. PLoS ONE. 8(4). e60913–e60913. 16 indexed citations
8.
Xu, Yufei, Feizhen Wu, Li Tan, et al.. (2011). Genome-wide Regulation of 5hmC, 5mC, and Gene Expression by Tet1 Hydroxylase in Mouse Embryonic Stem Cells. Molecular Cell. 42(4). 451–464. 493 indexed citations breakdown →
9.
Nicholson, Thomas B., Hui Su, Sarah Hevi, et al.. (2011). Defective heart development in hypomorphic LSD1 mice. Cell Research. 2 indexed citations
10.
Singh, Purnima, Li Han, Guillermo E. Rivas, et al.. (2010). Allele-Specific H3K79 Di- versus Trimethylation Distinguishes Opposite Parental Alleles at Imprinted Regions. Molecular and Cellular Biology. 30(11). 2693–2707. 24 indexed citations
11.
Nicholson, Thomas B., Taiping Chen, & Stéphane Richard. (2009). The physiological and pathophysiological role of PRMT1-mediated protein arginine methylation. Pharmacological Research. 60(6). 466–474. 110 indexed citations
12.
Nicholson, Thomas B. & Taiping Chen. (2009). LSD1 demethylates histone and non-histone proteins. Epigenetics. 4(3). 129–132. 85 indexed citations
13.
Nicholson, Thomas B. & Clifford P. Stanners. (2007). Identification of a novel functional specificity signal within the GPI anchor signal sequence of carcinoembryonic antigen. The Journal of Cell Biology. 177(2). 211–218. 9 indexed citations
14.
Nicholson, Thomas B. & Clifford P. Stanners. (2006). Specific inhibition of GPI-anchored protein function by homing and self-association of specific GPI anchors. The Journal of Cell Biology. 175(4). 647–659. 29 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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