Jeffrey D. Nanson

1.6k total citations
21 papers, 263 citations indexed

About

Jeffrey D. Nanson is a scholar working on Immunology, Molecular Biology and Molecular Medicine. According to data from OpenAlex, Jeffrey D. Nanson has authored 21 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 8 papers in Molecular Biology and 6 papers in Molecular Medicine. Recurrent topics in Jeffrey D. Nanson's work include Immune Response and Inflammation (10 papers), Antibiotic Resistance in Bacteria (6 papers) and Enzyme Structure and Function (6 papers). Jeffrey D. Nanson is often cited by papers focused on Immune Response and Inflammation (10 papers), Antibiotic Resistance in Bacteria (6 papers) and Enzyme Structure and Function (6 papers). Jeffrey D. Nanson collaborates with scholars based in Australia, United States and United Kingdom. Jeffrey D. Nanson's co-authors include Jade K. Forwood, Boštjan Kobe, Thomas Ve, Crystall M. D. Swarbrick, Edward I. Patterson, Weixi Gu, M.K. Manik, Forhad Karim Saikot, Shane Raidal and Natsumi Maruta and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Jeffrey D. Nanson

21 papers receiving 262 citations

Peers

Jeffrey D. Nanson
Jae‐Hee Jeong South Korea
Jeffrey D. Nanson
Citations per year, relative to Jeffrey D. Nanson Jeffrey D. Nanson (= 1×) peers Jae‐Hee Jeong

Countries citing papers authored by Jeffrey D. Nanson

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey D. Nanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey D. Nanson. 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 Jeffrey D. Nanson. The network helps show where Jeffrey D. Nanson may publish in the future.

Co-authorship network of co-authors of Jeffrey D. Nanson

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey D. Nanson. A scholar is included among the top collaborators of Jeffrey D. Nanson 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 Jeffrey D. Nanson. Jeffrey D. Nanson 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.
Kobe, Boštjan, Jeffrey D. Nanson, Antje Blumenthal, et al.. (2025). Signalling by co-operative higher-order assembly formation: linking evidence at molecular and cellular levels. Biochemical Journal. 482(5). 275–294. 3 indexed citations
2.
Manik, M.K., Le Xiao, Weixi Gu, et al.. (2025). Structural basis for TIR domain–mediated innate immune signaling by Toll-like receptor adaptors TRIF and TRAM. Proceedings of the National Academy of Sciences. 122(2). e2418988122–e2418988122. 5 indexed citations
3.
Adams, Felise G., Jeffrey D. Nanson, James C. Paton, et al.. (2025). Acinetobacter baumannii Employs a Rare Fatty Acid Desaturase for Niche-Specific Host Adaptation. ACS Infectious Diseases. 11(3). 550–557. 1 indexed citations
4.
Gu, Weixi, Sara J Thygesen, Katryn J. Stacey, et al.. (2024). Microcrystal electron diffraction structure of Toll-like receptor 2 TIR-domain-nucleated MyD88 TIR-domain higher-order assembly. Acta Crystallographica Section D Structural Biology. 80(9). 699–712. 4 indexed citations
5.
Thygesen, Sara J, Jeffrey D. Nanson, Xinying Jia, et al.. (2024). o-Vanillin binds covalently to MAL/TIRAP Lys-210 but independently inhibits TLR2. Journal of Enzyme Inhibition and Medicinal Chemistry. 39(1). 2313055–2313055. 3 indexed citations
6.
Liu, Liping, Jeffrey D. Nanson, Yan Li, et al.. (2022). The transmembrane adapter SCIMP recruits tyrosine kinase Syk to phosphorylate Toll-like receptors to mediate selective inflammatory outputs. Journal of Biological Chemistry. 298(5). 101857–101857. 10 indexed citations
8.
Edwards, Megan R., Kylie M. Wagstaff, David Aragão, et al.. (2021). Structural basis for nuclear import selectivity of pioneer transcription factor SOX2. Nature Communications. 12(1). 28–28. 27 indexed citations
9.
Gu, Weixi, Zhenyao Luo, Clemens Vonrhein, et al.. (2021). Crystal structure determination of the armadillo repeat domain of Drosophila SARM1 using MIRAS phasing. Acta Crystallographica Section F Structural Biology Communications. 77(10). 364–373. 2 indexed citations
10.
Gu, Weixi, Natsumi Maruta, Yan Li, et al.. (2021). Structural Evolution of TIR-Domain Signalosomes. Frontiers in Immunology. 12. 784484–784484. 35 indexed citations
11.
Swarbrick, Crystall M. D., Jeffrey D. Nanson, Edward I. Patterson, & Jade K. Forwood. (2020). Structure, function, and regulation of thioesterases. Progress in Lipid Research. 79. 101036–101036. 20 indexed citations
12.
Aragão, David, et al.. (2019). Structural characterization of a short-chain dehydrogenase/reductase from multi-drug resistant Acinetobacter baumannii. Biochemical and Biophysical Research Communications. 518(3). 465–471. 6 indexed citations
13.
Patterson, Edward I., Jeffrey D. Nanson, Jan Abendroth, et al.. (2019). Structural characterization of β‐ketoacyl ACP synthase I bound to platencin and fragment screening molecules at two substrate binding sites. Proteins Structure Function and Bioinformatics. 88(1). 47–56. 5 indexed citations
14.
Nanson, Jeffrey D., et al.. (2018). Regulation of signaling by cooperative assembly formation in mammalian innate immunity signalosomes by molecular mimics. Seminars in Cell and Developmental Biology. 99. 96–114. 17 indexed citations
15.
Nanson, Jeffrey D., Boštjan Kobe, & Thomas Ve. (2018). Death, TIR, and RHIM: Self-assembling domains involved in innate immunity and cell-death signaling. Journal of Leukocyte Biology. 105(2). 363–375. 47 indexed citations
16.
Costa, Tatiana P. Soares da, Jeffrey D. Nanson, & Jade K. Forwood. (2017). Structural characterisation of the fatty acid biosynthesis enzyme FabF from the pathogen Listeria monocytogenes. Scientific Reports. 7(1). 39277–39277. 7 indexed citations
17.
Nanson, Jeffrey D., et al.. (2015). Structural Characterisation of the Beta-Ketoacyl-Acyl Carrier Protein Synthases, FabF and FabH, of Yersinia pestis. Scientific Reports. 5(1). 14797–14797. 22 indexed citations
18.
Nanson, Jeffrey D. & Jade K. Forwood. (2015). Structural Characterisation of FabG from Yersinia pestis, a Key Component of Bacterial Fatty Acid Synthesis. PLoS ONE. 10(11). e0141543–e0141543. 12 indexed citations
19.
Swarbrick, Crystall M. D., Nathan Cowieson, Edward I. Patterson, et al.. (2014). Structural Basis for Regulation of the Human Acetyl-CoA Thioesterase 12 and Interactions with the Steroidogenic Acute Regulatory Protein-related Lipid Transfer (START) Domain. Journal of Biological Chemistry. 289(35). 24263–24274. 22 indexed citations
20.
Nanson, Jeffrey D. & Jade K. Forwood. (2013). Crystallization and preliminary X-ray diffraction analysis of FabG fromYersinia pestis. Acta Crystallographica Section F Structural Biology Communications. 70(1). 101–104. 4 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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