Daniel Fox

693 total citations · 1 hit paper
7 papers, 428 citations indexed

About

Daniel Fox is a scholar working on Molecular Biology, Surgery and Nephrology. According to data from OpenAlex, Daniel Fox has authored 7 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Nephrology. Recurrent topics in Daniel Fox's work include Inflammasome and immune disorders (3 papers), Kawasaki Disease and Coronary Complications (2 papers) and Gout, Hyperuricemia, Uric Acid (2 papers). Daniel Fox is often cited by papers focused on Inflammasome and immune disorders (3 papers), Kawasaki Disease and Coronary Complications (2 papers) and Gout, Hyperuricemia, Uric Acid (2 papers). Daniel Fox collaborates with scholars based in Australia, United States and Germany. Daniel Fox's co-authors include Si Ming Man, Shouya Feng, Gaétan Burgio, Chinh Ngo, Anukriti Mathur, Avril A. B. Robertson, Erwin Märtlbauer, Stephen H. Leppla, Jenni A. Hayward and Ines I. Atmosukarto and has published in prestigious journals such as Nature Communications, Journal of Molecular Biology and FEBS Letters.

In The Last Decade

Daniel Fox

6 papers receiving 427 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mechanisms of Gasdermin Family Members in Inflammasome Signaling and Cell Death

2018 296 citations Shouya Feng, Daniel Fox et al. Journal of Molecular Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Fox Australia	3	368	138	78	51	41	7	428
Zengzhang Zheng China	6	410 1.1×	150 1.1×	108 1.4×	42 0.8×	51 1.2×	9	508
Rui Min China	7	388 1.1×	139 1.0×	102 1.3×	37 0.7×	44 1.1×	13	491
Yinghua Chen United States	4	454 1.2×	209 1.5×	111 1.4×	30 0.6×	63 1.5×	6	550
Sara J Thygesen Australia	7	556 1.5×	336 2.4×	55 0.7×	22 0.4×	66 1.6×	11	649
Kathrin Krause United States	12	239 0.6×	113 0.8×	35 0.4×	100 2.0×	126 3.1×	19	422
Caroline El Sanadi United States	5	282 0.8×	157 1.1×	22 0.3×	18 0.4×	31 0.8×	8	401
Sagar Paudel United States	8	265 0.7×	229 1.7×	19 0.2×	45 0.9×	77 1.9×	12	419
Pooja Ralli-Jain United States	5	238 0.6×	169 1.2×	22 0.3×	28 0.5×	62 1.5×	7	336
Tamaki Abe Japan	9	283 0.8×	81 0.6×	31 0.4×	38 0.7×	37 0.9×	12	379
Yuxiong Lai China	11	165 0.4×	171 1.2×	52 0.7×	41 0.8×	51 1.2×	13	403

Countries citing papers authored by Daniel Fox

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Fox

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Fox

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

All Works

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7 of 7 papers shown

1.

Fox, Daniel, Bradley A. Spicer, Chunxiao Wang, et al.. (2025). Inhibiting heme piracy by pathogenic Escherichia coli using de novo-designed proteins. Nature Communications. 16(1). 6066–6066. 2 indexed citations

2.

Venugopal, Hariprasad, Jesse I. Mobbs, Cyntia Taveneau, et al.. (2025). High-resolution cryo-EM using a common LaB ₆ 120-keV electron microscope equipped with a sub–200-keV direct electron detector. Science Advances. 11(1). eadr0438–eadr0438.

3.

Fox, Daniel, Cyntia Taveneau, Jean Clement, Rhys Grinter, & Gavin J. Knott. (2025). Code to complex: AI-driven de novo binder design. Structure. 33(10). 1631–1642. 1 indexed citations

4.

Fox, Daniel, et al.. (2024). The structure of a haemoglobin–nanobody complex reveals human β‐subunit‐specific interactions. FEBS Letters. 598(18). 2240–2248. 2 indexed citations

5.

Feng, Shouya, Daniel Enosi Tuipulotu, Abhimanu Pandey, et al.. (2022). Pathogen-selective killing by guanylate-binding proteins as a molecular mechanism leading to inflammasome signaling. Nature Communications. 13(1). 4395–4395. 33 indexed citations

6.

Mathur, Anukriti, Shouya Feng, Jenni A. Hayward, et al.. (2018). A multicomponent toxin from Bacillus cereus incites inflammation and shapes host outcome via the NLRP3 inflammasome. Nature Microbiology. 4(2). 362–374. 94 indexed citations

7.

Feng, Shouya, Daniel Fox, & Si Ming Man. (2018). Mechanisms of Gasdermin Family Members in Inflammasome Signaling and Cell Death. Journal of Molecular Biology. 430(18). 3068–3080. 296 indexed citations breakdown →

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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