Brooks Taylor

940 total citations
10 papers, 614 citations indexed

About

Brooks Taylor is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Brooks Taylor has authored 10 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Brooks Taylor's work include Immune Response and Inflammation (5 papers), interferon and immune responses (3 papers) and Immune cells in cancer (3 papers). Brooks Taylor is often cited by papers focused on Immune Response and Inflammation (5 papers), interferon and immune responses (3 papers) and Immune cells in cancer (3 papers). Brooks Taylor collaborates with scholars based in United States. Brooks Taylor's co-authors include Alexander Hoffmann, Roy Wollman, John G. Albeck, Jason Yao, Lev S. Tsimring, Jangir Selimkhanov, Anna Pilko, Adewunmi Adelaja, Katherine M. Sheu and Cheng Zhang and has published in prestigious journals such as Science, Immunity and Scientific Reports.

In The Last Decade

Brooks Taylor

10 papers receiving 608 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brooks Taylor United States	9	346	244	111	68	60	10	614
Louise Ashall United Kingdom	4	524 1.5×	215 0.9×	177 1.6×	68 1.0×	78 1.3×	4	778
Samuel Demharter Denmark	11	432 1.2×	140 0.6×	79 0.7×	141 2.1×	39 0.7×	22	705
Junko Umetani United States	9	668 1.9×	146 0.6×	58 0.5×	92 1.4×	60 1.0×	9	1.2k
Bianka Baying Germany	7	775 2.2×	169 0.7×	196 1.8×	42 0.6×	88 1.5×	9	919
Per Oksvold Sweden	12	804 2.3×	79 0.3×	93 0.8×	106 1.6×	50 0.8×	16	1.1k
Rhonda Bacher United States	15	768 2.2×	204 0.8×	200 1.8×	74 1.1×	76 1.3×	39	1.1k
Terrence F. Meehan United States	14	572 1.7×	149 0.6×	58 0.5×	66 1.0×	95 1.6×	20	904
Luyi Tian Australia	14	715 2.1×	169 0.7×	189 1.7×	66 1.0×	116 1.9×	17	912
Tamir Biezuner Israel	5	720 2.1×	71 0.3×	250 2.3×	79 1.2×	76 1.3×	10	922

Countries citing papers authored by Brooks Taylor

Since Specialization

Citations

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

Fields of papers citing papers by Brooks Taylor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brooks Taylor

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

All Works

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10 of 10 papers shown

Luecke, Stefanie, Adewunmi Adelaja, Supriya Sen, et al.. (2023). Tonic TNF conditioning of macrophages safeguards stimulus‐specific inflammatory responses. EMBO Reports. 24(7). e55986–e55986. 9 indexed citations

Adelaja, Adewunmi, Brooks Taylor, Katherine M. Sheu, et al.. (2021). Six distinct NFκB signaling codons convey discrete information to distinguish stimuli and enable appropriate macrophage responses. Immunity. 54(5). 916–930.e7. 68 indexed citations

Cheng, Quen J., Sho Ohta, Katherine M. Sheu, et al.. (2021). NF-κB dynamics determine the stimulus specificity of epigenomic reprogramming in macrophages. Science. 372(6548). 1349–1353. 107 indexed citations

Taylor, Brooks, et al.. (2020). TGF-β is insufficient to induce adipocyte state loss without concurrent PPARγ downregulation. Scientific Reports. 10(1). 14084–14084. 6 indexed citations

Kovary, Kyle M., et al.. (2020). Molecular Competition in G1 Controls When Cells Simultaneously Commit to Terminally Differentiate and Exit the Cell Cycle. Cell Reports. 31(11). 107769–107769. 26 indexed citations

Metzig, Marie Oliver, Ying Tang, Simon Mitchell, et al.. (2020). An incoherent feedforward loop interprets NFκB/RelA dynamics to determine TNF‐induced necroptosis decisions. Molecular Systems Biology. 16(12). e9677–e9677. 21 indexed citations

Kovary, Kyle M., et al.. (2018). Expression variation and covariation impair analog and enable binary signaling control. Molecular Systems Biology. 14(5). e7997–e7997. 9 indexed citations

Zhang, Cheng, et al.. (2015). Distinct single-cell signaling characteristics are conferred by the MyD88 and TRIF pathways during TLR4 activation. Science Signaling. 8(385). ra69–ra69. 96 indexed citations

Selimkhanov, Jangir, Brooks Taylor, Jason Yao, et al.. (2014). Accurate information transmission through dynamic biochemical signaling networks. Science. 346(6215). 1370–1373. 262 indexed citations

10.

Glinos, André D., et al.. (1973). Density-dependent regulation of growth in 1 cell suspension cultures. Experimental Cell Research. 78(2). 319–328. 10 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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