Daniel S. Simpson

1.1k total citations
8 papers, 635 citations indexed

About

Daniel S. Simpson is a scholar working on Molecular Biology, Immunology and Nephrology. According to data from OpenAlex, Daniel S. Simpson has authored 8 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Immunology and 2 papers in Nephrology. Recurrent topics in Daniel S. Simpson's work include Inflammasome and immune disorders (7 papers), interferon and immune responses (3 papers) and Cell death mechanisms and regulation (3 papers). Daniel S. Simpson is often cited by papers focused on Inflammasome and immune disorders (7 papers), interferon and immune responses (3 papers) and Cell death mechanisms and regulation (3 papers). Daniel S. Simpson collaborates with scholars based in Australia, Germany and United States. Daniel S. Simpson's co-authors include Kate E. Lawlor, James E. Vince, Rebecca Feltham, Dale J. Calleja, Monica Yabal, John Silke, Cathrine Hall, Swarna Lekha Vijayaraj, Daniel Frank and James M. Murphy and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Diabetes.

In The Last Decade

Daniel S. Simpson

8 papers receiving 630 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel S. Simpson Australia	8	459	215	108	77	69	8	635
Hiroko Kushiyama Japan	8	619 1.3×	308 1.4×	79 0.7×	90 1.2×	53 0.8×	9	819
Claudia Gottier Switzerland	9	477 1.0×	248 1.2×	80 0.7×	41 0.5×	91 1.3×	17	640
Danlu Jiang China	8	594 1.3×	315 1.5×	103 1.0×	52 0.7×	122 1.8×	9	852
Rojo A. Ratsimandresy United States	10	621 1.4×	377 1.8×	70 0.6×	105 1.4×	120 1.7×	10	757
Dayuan Zou China	8	584 1.3×	228 1.1×	59 0.5×	135 1.8×	50 0.7×	9	687
Linda A. Tephly United States	11	587 1.3×	354 1.6×	66 0.6×	58 0.8×	85 1.2×	11	968
Kaixin Liang United States	7	338 0.7×	223 1.0×	58 0.5×	39 0.5×	46 0.7×	8	501
Kathy Banahan Ireland	5	351 0.8×	401 1.9×	98 0.9×	37 0.5×	39 0.6×	6	687
Gerhard E. Strittmatter Switzerland	7	375 0.8×	223 1.0×	83 0.8×	35 0.5×	49 0.7×	7	533
Caroline L. Holley Australia	6	723 1.6×	361 1.7×	61 0.6×	94 1.2×	66 1.0×	10	835

Countries citing papers authored by Daniel S. Simpson

Since Specialization

Citations

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

Fields of papers citing papers by Daniel S. Simpson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Simpson. 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 Daniel S. Simpson. The network helps show where Daniel S. Simpson may publish in the future.

Co-authorship network of co-authors of Daniel S. Simpson

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

All Works

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8 of 8 papers shown

Djajawi, Tirta M., Tricia L. Lo, Daniel S. Simpson, et al.. (2023). Candida auris uses metabolic strategies to escape and kill macrophages while avoiding robust activation of the NLRP3 inflammasome response. Cell Reports. 42(5). 112522–112522. 25 indexed citations

Vijayaraj, Swarna Lekha, Rebecca Feltham, Maryam Rashidi, et al.. (2021). The ubiquitylation of IL-1β limits its cleavage by caspase-1 and targets it for proteasomal degradation. Nature Communications. 12(1). 2713–2713. 60 indexed citations

Simpson, Daniel S., et al.. (2020). RIPK1 ubiquitination: Evidence, correlations and the undefined. Seminars in Cell and Developmental Biology. 109. 76–85. 21 indexed citations

Sharma, Arpeeta, Nada Stefanovic, Annas Al‐Sharea, et al.. (2020). Specific NLRP3 Inhibition Protects Against Diabetes-Associated Atherosclerosis. Diabetes. 70(3). 772–787. 115 indexed citations

Rashidi, Maryam, Daniel S. Simpson, Anne Hempel, et al.. (2019). The Pyroptotic Cell Death Effector Gasdermin D Is Activated by Gout-Associated Uric Acid Crystals but Is Dispensable for Cell Death and IL-1β Release. The Journal of Immunology. 203(3). 736–748. 97 indexed citations

Anderton, Holly, Esther Bandala‐Sanchez, Daniel S. Simpson, et al.. (2018). RIPK1 prevents TRADD-driven, but TNFR1 independent, apoptosis during development. Cell Death and Differentiation. 26(5). 877–889. 55 indexed citations

Vince, James E., Dominic De Nardo, Wenqing Gao, et al.. (2018). The Mitochondrial Apoptotic Effectors BAX/BAK Activate Caspase-3 and -7 to Trigger NLRP3 Inflammasome and Caspase-8 Driven IL-1β Activation. Cell Reports. 25(9). 2339–2353.e4. 177 indexed citations

Yabal, Monica, Dale J. Calleja, Daniel S. Simpson, & Kate E. Lawlor. (2018). Stressing out the mitochondria: Mechanistic insights into NLRP3 inflammasome activation. Journal of Leukocyte Biology. 105(2). 377–399. 85 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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