Simon C. Biddie

3.8k total citations · 1 hit paper
24 papers, 2.4k citations indexed

About

Simon C. Biddie is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Simon C. Biddie has authored 24 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Genetics and 4 papers in Immunology. Recurrent topics in Simon C. Biddie's work include Genomics and Chromatin Dynamics (13 papers), Estrogen and related hormone effects (9 papers) and RNA Research and Splicing (9 papers). Simon C. Biddie is often cited by papers focused on Genomics and Chromatin Dynamics (13 papers), Estrogen and related hormone effects (9 papers) and RNA Research and Splicing (9 papers). Simon C. Biddie collaborates with scholars based in United Kingdom, United States and Germany. Simon C. Biddie's co-authors include Gordon L. Hager, Sam John, Thomas A. Johnson, Myong‐Hee Sung, J Stamatoyannopoulos, Robert E. Thurman, Peter J. Sabo, Stafford L. Lightman, Tina Branscombe Miranda and R. Louis Schiltz and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Simon C. Biddie

21 papers receiving 2.4k citations

Hit Papers

Chromatin accessibility pre-determines glucocorticoid rec... 2011 2026 2016 2021 2011 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
Simon C. Biddie United Kingdom 15 1.6k 649 384 289 274 24 2.4k
Tina Branscombe Miranda United States 19 2.3k 1.4× 528 0.8× 240 0.6× 323 1.1× 139 0.5× 24 2.8k
Gratien G. Préfontaine Canada 18 1.8k 1.1× 625 1.0× 137 0.4× 236 0.8× 170 0.6× 24 2.3k
Guillermo P. Vicent Spain 25 1.5k 0.9× 547 0.8× 270 0.7× 211 0.7× 122 0.4× 53 2.0k
Ileana Zucchi Italy 25 982 0.6× 345 0.5× 138 0.4× 311 1.1× 98 0.4× 67 1.7k
Anne Guiochon‐Mantel France 29 1.6k 1.0× 1.4k 2.1× 421 1.1× 93 0.3× 953 3.5× 57 3.4k
Raymond D. Blind United States 18 658 0.4× 447 0.7× 140 0.4× 91 0.3× 211 0.8× 33 1.2k
Robert S. Viger Canada 30 1.7k 1.1× 1.6k 2.5× 181 0.5× 128 0.4× 344 1.3× 60 2.8k
Ray‐Chang Wu United States 24 1.6k 1.0× 990 1.5× 249 0.6× 470 1.6× 174 0.6× 36 2.5k
Alexias Safi United States 20 2.2k 1.3× 590 0.9× 168 0.4× 289 1.0× 48 0.2× 36 2.6k
María Pía Felli Italy 25 885 0.5× 208 0.3× 544 1.4× 282 1.0× 105 0.4× 45 1.7k

Countries citing papers authored by Simon C. Biddie

Since Specialization
Citations

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

Fields of papers citing papers by Simon C. Biddie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon C. Biddie. 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 Simon C. Biddie. The network helps show where Simon C. Biddie may publish in the future.

Co-authorship network of co-authors of Simon C. Biddie

This figure shows the co-authorship network connecting the top 25 collaborators of Simon C. Biddie. A scholar is included among the top collaborators of Simon C. Biddie 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 Simon C. Biddie. Simon C. Biddie 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.
2.
Biddie, Simon C., et al.. (2024). DNA-binding factor footprints and enhancer RNAs identify functional non-coding genetic variants. Genome biology. 25(1). 208–208.
3.
Flyamer, Ilya M., et al.. (2021). From bedside to bench: regulation of host factors in SARS-CoV-2 infection. Experimental & Molecular Medicine. 53(4). 483–494. 4 indexed citations
4.
Birnie, Matthew T., et al.. (2017). SKOV3 cells containing a truncated ARID1a protein have a restricted genome-wide response to glucocorticoids. Molecular and Cellular Endocrinology. 461. 226–235. 10 indexed citations
5.
Kollmann, Karoline, Wolfgang Warsch, Francesca Nice, et al.. (2016). A novel signalling screen demonstrates that CALR mutations activate essential MAPK signalling and facilitate megakaryocyte differentiation. Leukemia. 31(4). 934–944. 43 indexed citations
6.
Park, Hyun Jung, Juan Li, Rebecca Hannah, et al.. (2015). Cytokine‐induced megakaryocytic differentiation is regulated by genome‐wide loss of a uSTAT transcriptional program. The EMBO Journal. 35(6). 580–594. 54 indexed citations
7.
Attanasio, Catia, Alex S. Nord, Yiwen Zhu, et al.. (2014). Tissue-specific SMARCA4 binding at active and repressed regulatory elements during embryogenesis. Genome Research. 24(6). 920–929. 50 indexed citations
8.
He, Ximiao, Raghunath Chatterjee, Sam John, et al.. (2013). Contribution of nucleosome binding preferences and co-occurring DNA sequences to transcription factor binding. BMC Genomics. 14(1). 428–428. 19 indexed citations
9.
Biddie, Simon C., Becky Conway-Campbell, & Stafford L. Lightman. (2011). Dynamic regulation of glucocorticoid signalling in health and disease. Lara D. Veeken. 51(3). 403–412. 105 indexed citations
10.
Voss, Ty C., R. Louis Schiltz, Myong‐Hee Sung, et al.. (2011). Dynamic Exchange at Regulatory Elements during Chromatin Remodeling Underlies Assisted Loading Mechanism. Cell. 146(4). 544–554. 257 indexed citations
11.
Biddie, Simon C., Sam John, Robert E. Thurman, et al.. (2011). Transcription Factor AP1 Potentiates Chromatin Accessibility and Glucocorticoid Receptor Binding. Molecular Cell. 43(1). 145–155. 367 indexed citations
12.
John, Sam, Peter J. Sabo, Robert E. Thurman, et al.. (2011). Chromatin accessibility pre-determines glucocorticoid receptor binding patterns. Nature Genetics. 43(3). 264–268. 696 indexed citations breakdown →
13.
George, Charlotte, Stafford L. Lightman, & Simon C. Biddie. (2011). Transcription Factor Interactions in Genomic Nuclear Receptor Function. Epigenomics. 3(4). 471–485. 14 indexed citations
14.
Wiench, Małgorzata, Sam John, Songjoon Baek, et al.. (2011). DNA methylation status predicts cell type‐specific enhancer activity. The EMBO Journal. 30(15). 3028–3039. 179 indexed citations
15.
Biddie, Simon C.. (2010). Chromatin Architecture and the Regulation of Nuclear Receptor Inducible Transcription. Journal of Neuroendocrinology. 23(1). 94–106. 13 indexed citations
16.
Biddie, Simon C., Sam John, & Gordon L. Hager. (2009). Genome-wide mechanisms of nuclear receptor action. Trends in Endocrinology and Metabolism. 21(1). 3–9. 64 indexed citations
17.
Hakim, Ofir, et al.. (2009). Glucocorticoid Receptor Activation of the Ciz1-Lcn2 Locus by Long Range Interactions. Journal of Biological Chemistry. 284(10). 6048–6052. 60 indexed citations
18.
John, Sam, Thomas A. Johnson, Myong‐Hee Sung, et al.. (2009). Kinetic Complexity of the Global Response to Glucocorticoid Receptor Action. Endocrinology. 150(4). 1766–1774. 85 indexed citations
19.
John, Sam, Peter J. Sabo, Thomas A. Johnson, et al.. (2008). Interaction of the Glucocorticoid Receptor with the Chromatin Landscape. Molecular Cell. 29(5). 611–624. 257 indexed citations
20.
Biddie, Simon C. & Gordon L. Hager. (2008). Glucocorticoid receptor dynamics and gene regulation. Stress. 12(3). 193–205. 59 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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