Trevor Siggers

2.2k total citations
29 papers, 1.4k citations indexed

About

Trevor Siggers is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Trevor Siggers has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Immunology and 8 papers in Cancer Research. Recurrent topics in Trevor Siggers's work include Genomics and Chromatin Dynamics (15 papers), NF-κB Signaling Pathways (7 papers) and RNA and protein synthesis mechanisms (6 papers). Trevor Siggers is often cited by papers focused on Genomics and Chromatin Dynamics (15 papers), NF-κB Signaling Pathways (7 papers) and RNA and protein synthesis mechanisms (6 papers). Trevor Siggers collaborates with scholars based in United States, United Kingdom and Italy. Trevor Siggers's co-authors include Martha L. Bulyk, Raluca Gordân, Barry Honig, Jiannis Ragoussis, Irina A. Udalova, Daniel Wong, Ana Teixeira, Jessica Reddy, Vijendra Ramlall and Antonina Silkov and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Genes & Development.

In The Last Decade

Trevor Siggers

28 papers receiving 1.4k citations

Peers

Trevor Siggers

IMMUN

GENET

Zhixi Su China

Tari Parmely United States

Oliver Frings Sweden

Malavi T. Madireddi United States

Yan P. Yuan Germany

Thomas Albert Germany

Arthur Wüster United States

Steven J. McBryant United States

Ioannis Michalopoulos Greece

Zhixi Su China

Trevor Siggers

918 ×0.9

235 ×0.8

IMMUN

184 ×0.7

188 ×1.0

GENET

184 ×1.6

Citations per year, relative to Trevor Siggers Trevor Siggers (= 1×) peers Zhixi Su

Countries citing papers authored by Trevor Siggers

Since Specialization

Citations

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

Fields of papers citing papers by Trevor Siggers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Trevor Siggers. 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 Trevor Siggers. The network helps show where Trevor Siggers may publish in the future.

Co-authorship network of co-authors of Trevor Siggers

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

All Works

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20 of 20 papers shown

Blum, Benjamin C., Weiwei Lin, Jacob Porter, et al.. (2024). Multiomic profiling of chronically activated CD4+ T cells identifies drivers of exhaustion and metabolic reprogramming. PLoS Biology. 22(12). e3002943–e3002943. 4 indexed citations

Miller, R. G., et al.. (2024). Rapid profiling of transcription factor–cofactor interaction networks reveals principles of epigenetic regulation. Nucleic Acids Research. 52(17). 10276–10296. 2 indexed citations

Pro, Sebastian Carrasco, David A. Bray, Daniel Berenzy, et al.. (2023). Widespread perturbation of ETS factor binding sites in cancer. Nature Communications. 14(1). 913–913. 7 indexed citations

Brennan, Joseph J., et al.. (2023). Starvation decreases immunity and immune regulatory factor NF-κB in the starlet sea anemone Nematostella vectensis. Communications Biology. 6(1). 698–698. 3 indexed citations

Bray, David A., Xiaoting Chen, Sreeja Parameswaran, et al.. (2022). CASCADE: high-throughput characterization of regulatory complex binding altered by non-coding variants. Cell Genomics. 2(2). 100098–100098. 8 indexed citations

Bray, David A., et al.. (2021). High-Throughput Analysis of the Cell and DNA Site-Specific Binding of Native NF-κB Dimers Using Nuclear Extract Protein-Binding Microarrays (NextPBMs). Methods in molecular biology. 2366. 43–66. 4 indexed citations

Bray, David A., et al.. (2019). Comprehensive study of nuclear receptor DNA binding provides a revised framework for understanding receptor specificity. Nature Communications. 10(1). 2514–2514. 62 indexed citations

Bruno, Ludovica, Vijendra Ramlall, Romain A. Studer, et al.. (2019). Selective deployment of transcription factor paralogs with submaximal strength facilitates gene regulation in the immune system. Nature Immunology. 20(10). 1372–1380. 15 indexed citations

Mansfield, Katelyn M., Nicole Carter, Phillip A. Cleves, et al.. (2017). Transcription factor NF-κB is modulated by symbiotic status in a sea anemone model of cnidarian bleaching. Scientific Reports. 7(1). 16025–16025. 61 indexed citations

10.

Kuzu, Guray, Trevor Siggers, Lin Yang, et al.. (2016). Expansion of GA Dinucleotide Repeats Increases the Density of CLAMP Binding Sites on the X-Chromosome to Promote Drosophila Dosage Compensation. PLoS Genetics. 12(7). e1006120–e1006120. 36 indexed citations

11.

Siggers, Trevor, et al.. (2015). Characterizing the DNA Binding Site Specificity of NF-κB with Protein-Binding Microarrays (PBMs). Methods in molecular biology. 1280. 609–630. 10 indexed citations

12.

Siggers, Trevor, et al.. (2014). Diversification of Transcription Factor Paralogs via Noncanonical Modularity in C2H2 Zinc Finger DNA Binding. Molecular Cell. 55(4). 640–648. 38 indexed citations

13.

Bishop, Eric, Trevor Siggers, Michael Tolstorukov, et al.. (2013). The CLAMP protein links the MSL complex to the X chromosome during Drosophila dosage compensation. Genes & Development. 27(14). 1551–1556. 89 indexed citations

14.

Wong, Daniel, Ana Teixeira, Spyros Oikonomopoulos, et al.. (2011). Extensive characterization of NF-κB binding uncovers non-canonical motifs and advances the interpretation of genetic functional traits. Genome biology. 12(7). R70–R70. 123 indexed citations

15.

Siggers, Trevor, Anne B. Chang, Ana Teixeira, et al.. (2011). Principles of dimer-specific gene regulation revealed by a comprehensive characterization of NF-κB family DNA binding. Nature Immunology. 13(1). 95–102. 172 indexed citations

16.

Giorgetti, Luca, Trevor Siggers, Guido Tiana, et al.. (2010). Noncooperative Interactions between Transcription Factors and Clustered DNA Binding Sites Enable Graded Transcriptional Responses to Environmental Inputs. Molecular Cell. 37(3). 418–428. 134 indexed citations

17.

Giorgetti, Luca, Trevor Siggers, Guido Tiana, et al.. (2010). Non-Cooperative Interactions Between Transcription Factors and Clustered DNA Binding Sites Enable Graded Transcriptional Responses To Environmental Inputs. Biophysical Journal. 98(3). 68a–68a. 7 indexed citations

18.

Rowan, Sheldon, Trevor Siggers, Salil A. Lachke, et al.. (2010). Precise temporal control of the eye regulatory gene Pax6 via enhancer-binding site affinity. Genes & Development. 24(10). 980–985. 85 indexed citations

19.

Siggers, Trevor & Barry Honig. (2007). Structure-based prediction of C2H2 zinc-finger binding specificity: sensitivity to docking geometry. Nucleic Acids Research. 35(4). 1085–1097. 51 indexed citations

20.

Siggers, Trevor, Antonina Silkov, & Barry Honig. (2004). Structural Alignment of Protein–DNA Interfaces: Insights into the Determinants of Binding Specificity. Journal of Molecular Biology. 345(5). 1027–1045. 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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