Tim Smallie

1.9k total citations · 1 hit paper
9 papers, 1.6k citations indexed

About

Tim Smallie is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Tim Smallie has authored 9 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Oncology. Recurrent topics in Tim Smallie's work include Immune Response and Inflammation (4 papers), Cytokine Signaling Pathways and Interactions (4 papers) and RNA Research and Splicing (3 papers). Tim Smallie is often cited by papers focused on Immune Response and Inflammation (4 papers), Cytokine Signaling Pathways and Interactions (4 papers) and RNA Research and Splicing (3 papers). Tim Smallie collaborates with scholars based in United Kingdom, Belgium and Denmark. Tim Smallie's co-authors include Marc Feldmann, Helen Lockstone, Natasha Sahgal, Saba Alzabin, Tracy Hussell, Irina A. Udalova, Thomas Krausgruber, Katrina Blazek, Brian M. J. Foxwell and Andrew R. Clark and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Nature Immunology.

In The Last Decade

Tim Smallie

9 papers receiving 1.6k citations

Hit Papers

IRF5 promotes inflammatory macrophage polarization and TH... 2011 2026 2016 2021 2011 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Smallie United Kingdom 9 964 503 233 221 178 9 1.6k
Chaoming Mao China 20 758 0.8× 454 0.9× 311 1.3× 131 0.6× 238 1.3× 53 1.5k
Gantsetseg Tumurkhuu Japan 20 590 0.6× 651 1.3× 212 0.9× 140 0.6× 144 0.8× 51 1.3k
Lorenza Ronfani Italy 11 750 0.8× 811 1.6× 152 0.7× 116 0.5× 173 1.0× 12 1.8k
Yaw-Chyn Lim United States 14 1.0k 1.0× 477 0.9× 440 1.9× 288 1.3× 174 1.0× 17 1.9k
Emily Smith United States 20 853 0.9× 577 1.1× 370 1.6× 233 1.1× 106 0.6× 36 1.7k
Tommaso Scolaro Belgium 3 791 0.8× 560 1.1× 107 0.5× 191 0.9× 165 0.9× 3 1.4k
Zuojia Chen United States 20 817 0.8× 628 1.2× 284 1.2× 289 1.3× 141 0.8× 36 1.6k
Danay Cibrián Spain 19 917 1.0× 507 1.0× 287 1.2× 144 0.7× 86 0.5× 31 1.8k
Marten A. Hoeksema Netherlands 21 1.0k 1.1× 779 1.5× 116 0.5× 311 1.4× 192 1.1× 39 1.8k
Tianwen Gao China 22 557 0.6× 347 0.7× 326 1.4× 223 1.0× 153 0.9× 91 1.5k

Countries citing papers authored by Tim Smallie

Since Specialization
Citations

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

Fields of papers citing papers by Tim Smallie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Smallie

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

All Works

9 of 9 papers shown
1.
Scambler, Thomas, Tim Smallie, Ewan A. Ross, et al.. (2017). Macrophage responses to lipopolysaccharide are modulated by a feedback loop involving prostaglandin E2, dual specificity phosphatase 1 and tristetraprolin. Scientific Reports. 7(1). 4350–4350. 62 indexed citations
2.
O’Neil, John D., Ewan A. Ross, Michael Ridley, et al.. (2017). Gain-of-Function Mutation of Tristetraprolin Impairs Negative Feedback Control of Macrophages In Vitro yet Has Overwhelmingly Anti-Inflammatory Consequences In Vivo. Molecular and Cellular Biology. 37(11). 41 indexed citations
3.
Ross, Ewan A., Tim Smallie, John D. O’Neil, et al.. (2015). Dominant Suppression of Inflammation via Targeted Mutation of the mRNA Destabilizing Protein Tristetraprolin. The Journal of Immunology. 195(1). 265–276. 66 indexed citations
4.
Smallie, Tim, Ewan A. Ross, Alaina J. Ammit, et al.. (2015). Dual-Specificity Phosphatase 1 and Tristetraprolin Cooperate To Regulate Macrophage Responses to Lipopolysaccharide. The Journal of Immunology. 195(1). 277–288. 59 indexed citations
5.
Krausgruber, Thomas, Katrina Blazek, Tim Smallie, et al.. (2011). IRF5 promotes inflammatory macrophage polarization and TH1-TH17 responses. Nature Immunology. 12(3). 231–238. 1033 indexed citations breakdown →
6.
Smallie, Tim, et al.. (2010). IL-10 inhibits transcription elongation of the human TNF gene in primary macrophages. The Journal of Experimental Medicine. 207(10). 2081–2088. 95 indexed citations
7.
Simmonds, Rachel E., Ferdinand Lali, Tim Smallie, Pamela L. C. Small, & Brian M. J. Foxwell. (2009). Mycolactone Inhibits Monocyte Cytokine Production by a Posttranscriptional Mechanism. The Journal of Immunology. 182(4). 2194–2202. 70 indexed citations
8.
Horwood, Nicole J., et al.. (2007). Chemical inhibition of Src family kinases affects major LPS-activated pathways in primary human macrophages. Molecular Immunology. 45(4). 990–1000. 64 indexed citations
9.
Williams, Lynn, et al.. (2006). Expression of Constitutively Active STAT3 Can Replicate the Cytokine-suppressive Activity of Interleukin-10 in Human Primary Macrophages. Journal of Biological Chemistry. 282(10). 6965–6975. 78 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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