Christopher J. Farady

3.1k total citations · 3 hit papers
22 papers, 2.3k citations indexed

About

Christopher J. Farady is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Christopher J. Farady has authored 22 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Christopher J. Farady's work include Inflammasome and immune disorders (7 papers), Protease and Inhibitor Mechanisms (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Christopher J. Farady is often cited by papers focused on Inflammasome and immune disorders (7 papers), Protease and Inhibitor Mechanisms (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Christopher J. Farady collaborates with scholars based in Switzerland, United States and United Kingdom. Christopher J. Farady's co-authors include Petr Brož, Rosalie Heilig, Charles S. Craik, Henning Stahlberg, Estefania Mulvihill, Sebastian Rühl, Daniel J. Müller, Lorenzo Sborgi, Sebastian Hiller and Andreas Boettcher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Christopher J. Farady

22 papers receiving 2.2k 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.

GSDMD membrane pore formation constitutes the mechanism of pyroptotic cell death

2016 915 citations Lorenzo Sborgi, Sebastian Rühl et al. The EMBO Journal profile →
Extrinsic and intrinsic apoptosis activate pannexin‐1 to drive NLRP 3 inflammasome assembly

2019 313 citations Kaiwen Chen, Benjamin Demarco et al. The EMBO Journal profile →
Clonal Hematopoiesis of Indeterminate Potential With Loss of Tet2 Enhances Risk for Atrial Fibrillation Through Nlrp3 Inflammasome Activation

2024 35 citations Amy E. Lin, Aneesh Bapat et al. Circulation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher J. Farady Switzerland	16	1.6k	692	248	235	219	22	2.3k
Erin C. Dueber United States	14	1.8k 1.1×	867 1.3×	218 0.9×	131 0.6×	257 1.2×	20	2.2k
Robert B. Henderson United Kingdom	21	924 0.6×	1.1k 1.6×	107 0.4×	68 0.3×	155 0.7×	42	2.6k
J. Perry Hall United States	22	1.1k 0.7×	514 0.7×	95 0.4×	122 0.5×	85 0.4×	36	1.7k
Hanzi Sun China	8	1.9k 1.2×	838 1.2×	365 1.5×	198 0.8×	187 0.9×	13	2.3k
Jean‐Luc Poyet France	22	1.8k 1.1×	1.3k 1.9×	100 0.4×	85 0.4×	209 1.0×	45	2.8k
Tino Hochepied Belgium	22	1.2k 0.7×	502 0.7×	82 0.3×	77 0.3×	186 0.8×	55	2.0k
Jan Eickhoff Germany	20	1.1k 0.7×	541 0.8×	63 0.3×	67 0.3×	293 1.3×	38	1.8k
Colleen Fearns United States	28	2.0k 1.3×	707 1.0×	51 0.2×	64 0.3×	269 1.2×	38	3.3k
Anne Gonzalez de Peredo France	30	1.4k 0.9×	1.1k 1.6×	57 0.2×	60 0.3×	128 0.6×	54	3.1k
Chuanping Wang United States	18	1.1k 0.7×	368 0.5×	182 0.7×	103 0.4×	204 0.9×	30	1.6k

Countries citing papers authored by Christopher J. Farady

Since Specialization

Citations

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

Fields of papers citing papers by Christopher J. Farady

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Farady. 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 Christopher J. Farady. The network helps show where Christopher J. Farady may publish in the future.

Co-authorship network of co-authors of Christopher J. Farady

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

All Works

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20 of 20 papers shown

Rai, Shivam, Yang Zhang, Nils Hansen, et al.. (2024). IL-1β promotes MPN disease initiation by favoring early clonal expansion of JAK2-mutant hematopoietic stem cells. Blood Advances. 8(5). 1234–1249. 15 indexed citations

Lin, Amy E., Aneesh Bapat, Ling Xiao, et al.. (2024). Clonal Hematopoiesis of Indeterminate Potential With Loss of Tet2 Enhances Risk for Atrial Fibrillation Through Nlrp3 Inflammasome Activation. Circulation. 149(18). 1419–1434. 35 indexed citations breakdown →

Wang, Longlong, Shihua Shi, Ronan Kapétanovic, et al.. (2024). HDAC6/aggresome processing pathway importance for inflammasome formation is context-dependent. Journal of Biological Chemistry. 300(2). 105638–105638. 5 indexed citations

Rai, Shivam, Nils Hansen, Damien Luque Paz, et al.. (2022). Inhibition of interleukin-1β reduces myelofibrosis and osteosclerosis in mice with JAK2-V617F driven myeloproliferative neoplasm. Nature Communications. 13(1). 5346–5346. 37 indexed citations

Heiser, Diane, et al.. (2021). Evaluation of protein kinase D auto-phosphorylation as biomarker for NLRP3 inflammasome activation. PLoS ONE. 16(11). e0248668–e0248668. 6 indexed citations

Dekker, Carien, Henri Mattes, Michael Wright, et al.. (2021). Crystal Structure of NLRP3 NACHT Domain With an Inhibitor Defines Mechanism of Inflammasome Inhibition. Journal of Molecular Biology. 433(24). 167309–167309. 101 indexed citations

Heiser, Diane, P. Erbel, Achim Schlapbach, et al.. (2021). Pharmacological inhibition of IKKβ dampens NLRP3 inflammasome activation after priming in the human myeloid cell line THP-1. Biochemical and Biophysical Research Communications. 545. 177–182. 12 indexed citations

Chen, Kaiwen, Benjamin Demarco, Rosalie Heilig, et al.. (2019). Extrinsic and intrinsic apoptosis activate pannexin‐1 to drive NLRP 3 inflammasome assembly. The EMBO Journal. 38(10). 313 indexed citations breakdown →

Laux, Holger, Sandro Nuciforo, Christopher J. Farady, et al.. (2018). Degradation of recombinant proteins by Chinese hamster ovary host cell proteases is prevented by matriptase‐1 knockout. Biotechnology and Bioengineering. 115(10). 2530–2540. 33 indexed citations

10.

Namoto, Kenji, Finton Sirockin, Holger Sellner, et al.. (2018). Structure-based design and synthesis of macrocyclic human rhinovirus 3C protease inhibitors. Bioorganic & Medicinal Chemistry Letters. 28(5). 906–909. 11 indexed citations

11.

Feuerbach, Dominik, Patrick Schindler, Carmen Barske, et al.. (2017). ADAM17 is the main sheddase for the generation of human triggering receptor expressed in myeloid cells (hTREM2) ectodomain and cleaves TREM2 after Histidine 157. Neuroscience Letters. 660. 109–114. 109 indexed citations

12.

Sborgi, Lorenzo, Sebastian Rühl, Estefania Mulvihill, et al.. (2016). GSDMD membrane pore formation constitutes the mechanism of pyroptotic cell death. The EMBO Journal. 35(16). 1766–1778. 915 indexed citations breakdown →

13.

Gable, Jonathan E., Gregory M. Lee, Timothy M. Acker, et al.. (2016). Fragment‐Based Protein–Protein Interaction Antagonists of a Viral Dimeric Protease. ChemMedChem. 11(8). 862–869. 10 indexed citations

14.

Schneider, Eric L., et al.. (2011). A Reverse Binding Motif That Contributes to Specific Protease Inhibition by Antibodies. Journal of Molecular Biology. 415(4). 699–715. 42 indexed citations

15.

Darragh, Molly R., Eric L. Schneider, Jianlong Lou, et al.. (2010). Tumor Detection by Imaging Proteolytic Activity. Cancer Research. 70(4). 1505–1512. 40 indexed citations

16.

Farady, Christopher J. & Charles S. Craik. (2010). Mechanisms of Macromolecular Protease Inhibitors. ChemBioChem. 11(17). 2341–2346. 98 indexed citations

17.

Farady, Christopher J., Benjamin D. Sellers, Matthew P. Jacobson, & Charles S. Craik. (2009). Improving the species cross-reactivity of an antibody using computational design. Bioorganic & Medicinal Chemistry Letters. 19(14). 3744–3747. 40 indexed citations

18.

Kerr, Iain D., Ji Hae Lee, Christopher J. Farady, et al.. (2009). Vinyl Sulfones as Antiparasitic Agents and a Structural Basis for Drug Design. Journal of Biological Chemistry. 284(38). 25697–25703. 235 indexed citations

19.

Farady, Christopher J., Pascal F. Egea, Eric L. Schneider, Molly R. Darragh, & Charles S. Craik. (2008). Structure of an Fab–Protease Complex Reveals a Highly Specific Non-canonical Mechanism of Inhibition. Journal of Molecular Biology. 380(2). 351–360. 51 indexed citations

20.

Farady, Christopher J., Jeonghoon Sun, Molly R. Darragh, Susan M. Miller, & Charles S. Craik. (2007). The Mechanism of Inhibition of Antibody-based Inhibitors of Membrane-type Serine Protease 1 (MT-SP1). Journal of Molecular Biology. 369(4). 1041–1051. 44 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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