James Boyd

467 total citations
10 papers, 289 citations indexed

About

James Boyd is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, James Boyd has authored 10 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Immunology. Recurrent topics in James Boyd's work include NF-κB Signaling Pathways (4 papers), Immune Response and Inflammation (3 papers) and Single-cell and spatial transcriptomics (2 papers). James Boyd is often cited by papers focused on NF-κB Signaling Pathways (4 papers), Immune Response and Inflammation (3 papers) and Single-cell and spatial transcriptomics (2 papers). James Boyd collaborates with scholars based in United Kingdom, Austria and Estonia. James Boyd's co-authors include David G. Spiller, Michael White, Pawel Paszek, Tobias Galla, Veronica Biga, James Bagnall, Nancy Papalopulu, Cerys Manning, Magnus Rattray and Nicholas A. Jones and has published in prestigious journals such as Nature Communications, Current Biology and Scientific Reports.

In The Last Decade

James Boyd

10 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James Boyd United Kingdom	9	170	80	59	41	31	10	289
Lorraine Schmidt United Kingdom	7	121 0.7×	157 2.0×	86 1.5×	59 1.4×	17 0.5×	7	351
Ryohei Narumi Japan	12	311 1.8×	30 0.4×	45 0.8×	113 2.8×	54 1.7×	26	514
Kyle M. Kovary United States	7	514 3.0×	38 0.5×	46 0.8×	12 0.3×	18 0.6×	9	608
Sachi Kato Japan	11	245 1.4×	16 0.2×	49 0.8×	125 3.0×	35 1.1×	26	452
Christian Schwindling Germany	4	284 1.7×	187 2.3×	17 0.3×	12 0.3×	86 2.8×	5	505
Peter Hsu United States	10	324 1.9×	35 0.4×	16 0.3×	34 0.8×	36 1.2×	16	420
Carrie L. Simms United States	11	703 4.1×	31 0.4×	36 0.6×	83 2.0×	46 1.5×	13	854
Robin M. Gibson United States	9	280 1.6×	38 0.5×	43 0.7×	6 0.1×	29 0.9×	9	434
Mark W. Moyle United States	12	313 1.8×	49 0.6×	12 0.2×	26 0.6×	31 1.0×	18	581

Countries citing papers authored by James Boyd

Since Specialization

Citations

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

Fields of papers citing papers by James Boyd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Boyd

This figure shows the co-authorship network connecting the top 25 collaborators of James Boyd. A scholar is included among the top collaborators of James Boyd 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 James Boyd. James Boyd 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

Poh, Jonathan, Amy H. Ponsford, James Boyd, et al.. (2020). A functionally defined high-density NRF2 interactome reveals new conditional regulators of ARE transactivation. Redox Biology. 37. 101686–101686. 13 indexed citations

Morgan, David J., James Boyd, David G. Spiller, et al.. (2020). Glucocorticoids rapidly inhibit cell migration through a novel, non-transcriptional HDAC6 pathway. Journal of Cell Science. 133(11). 5 indexed citations

Manning, Cerys, Veronica Biga, James Boyd, et al.. (2019). Quantitative single-cell live imaging links HES5 dynamics with cell-state and fate in murine neurogenesis. Nature Communications. 10(1). 2835–2835. 45 indexed citations

Bagnall, James, Hazel England, Ruth Brignall, et al.. (2018). Quantitative analysis of competitive cytokine signaling predicts tissue thresholds for the propagation of macrophage activation. Science Signaling. 11(540). 39 indexed citations

Caballero, Ignacio, James Boyd, C. Almiñana, et al.. (2017). Understanding the dynamics of Toll-like Receptor 5 response to flagellin and its regulation by estradiol. Scientific Reports. 7(1). 40981–40981. 17 indexed citations

Smyllie, Nicola J., Violetta Pilorz, James Boyd, et al.. (2016). Visualizing and Quantifying Intracellular Behavior and Abundance of the Core Circadian Clock Protein PERIOD2. Current Biology. 26(14). 1880–1886. 41 indexed citations

Jones, Nicholas A., James Boyd, Antony Adamson, et al.. (2016). Dynamic NF-κB and E2F interactions control the priority and timing of inflammatory signalling and cell proliferation. eLife. 5. 47 indexed citations

Lanucara, Francesco, Connie W. Lam, Jelena Mann, et al.. (2016). Dynamic phosphorylation of RelA on Ser42 and Ser45 in response to TNFα stimulation regulates DNA binding and transcription. Open Biology. 6(7). 160055–160055. 19 indexed citations

Manning, Cerys, Veronica Biga, Elli Marinopoulou, et al.. (2016). Stochasticity in the miR-9/Hes1 oscillatory network can account for clonal heterogeneity in the timing of differentiation. eLife. 5. 34 indexed citations

10.

Bagnall, James, James Boyd, Ruth Brignall, et al.. (2015). Quantitative dynamic imaging of immune cell signalling using lentiviral gene transfer. Integrative Biology. 7(6). 713–725. 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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