Conor M. Henry

2.1k total citations
18 papers, 1.6k citations indexed

About

Conor M. Henry is a scholar working on Immunology, Molecular Biology and Dermatology. According to data from OpenAlex, Conor M. Henry has authored 18 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 7 papers in Molecular Biology and 2 papers in Dermatology. Recurrent topics in Conor M. Henry's work include Cell death mechanisms and regulation (6 papers), Immune Response and Inflammation (5 papers) and Immunotherapy and Immune Responses (4 papers). Conor M. Henry is often cited by papers focused on Cell death mechanisms and regulation (6 papers), Immune Response and Inflammation (5 papers) and Immunotherapy and Immune Responses (4 papers). Conor M. Henry collaborates with scholars based in Ireland, United Kingdom and Russia. Conor M. Henry's co-authors include Séamus J. Martin, Danielle M. Clancy, Graeme P. Sullivan, Sean P. Cullen, Ed C. Lavelle, Émilie Hollville, Dagmar Kulms, Inna S. Afonina, Conor J. Kearney and Graham A. Tynan and has published in prestigious journals such as The EMBO Journal, Molecular Cell and Nature Immunology.

In The Last Decade

Conor M. Henry

17 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Conor M. Henry Ireland	14	983	741	195	187	185	18	1.6k
Yongxue Yao United States	18	604 0.6×	504 0.7×	311 1.6×	242 1.3×	118 0.6×	30	1.4k
Jiong Li China	22	474 0.5×	725 1.0×	99 0.5×	258 1.4×	149 0.8×	62	1.4k
Meijuan Zhou China	21	884 0.9×	833 1.1×	69 0.4×	241 1.3×	140 0.8×	72	2.0k
Lyudmila Lyakh United States	16	846 0.9×	486 0.7×	122 0.6×	286 1.5×	111 0.6×	19	1.5k
Laetitia Furio France	20	474 0.5×	549 0.7×	311 1.6×	167 0.9×	151 0.8×	29	1.6k
Magdalena Kistowska Switzerland	10	995 1.0×	425 0.6×	311 1.6×	356 1.9×	166 0.9×	10	1.7k
Uwe Trefzer Germany	19	456 0.5×	618 0.8×	322 1.7×	338 1.8×	196 1.1×	43	1.5k
Zhu Shen China	20	386 0.4×	411 0.6×	188 1.0×	159 0.9×	89 0.5×	59	1.1k
Xueqiang Zhao China	16	662 0.7×	448 0.6×	70 0.4×	262 1.4×	157 0.8×	23	1.2k
Ralph Gareus Germany	12	743 0.8×	711 1.0×	61 0.3×	151 0.8×	158 0.9×	13	1.7k

Countries citing papers authored by Conor M. Henry

Since Specialization

Citations

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

Fields of papers citing papers by Conor M. Henry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Conor M. Henry. 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 Conor M. Henry. The network helps show where Conor M. Henry may publish in the future.

Co-authorship network of co-authors of Conor M. Henry

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

All Works

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18 of 18 papers shown

Buck, Michael D., Tomas Castro‐Dopico, Oliver Schulz, et al.. (2025). DNGR-1 signalling limits dendritic cell activation for optimal antigen cross-presentation. The EMBO Journal. 44(23). 6857–6891.

Henry, Conor M., Carlos A. Castellanos, & Caetano Reis e Sousa. (2023). DNGR-1-mediated cross-presentation of dead cell-associated antigens. Seminars in Immunology. 66. 101726–101726. 12 indexed citations

Henry, Conor M., Carlos A. Castellanos, Michael D. Buck, et al.. (2023). SYK ubiquitination by CBL E3 ligases restrains cross-presentation of dead cell-associated antigens by type 1 dendritic cells. Cell Reports. 42(12). 113506–113506. 9 indexed citations

Henry, Conor M., et al.. (2021). Maintenance and loss of endocytic organelle integrity: mechanisms and implications for antigen cross-presentation. Open Biology. 11(11). 210194–210194. 9 indexed citations

Canton, Johnathan, H. Blees, Conor M. Henry, et al.. (2020). The receptor DNGR-1 signals for phagosomal rupture to promote cross-presentation of dead-cell-associated antigens. Nature Immunology. 22(2). 140–153. 123 indexed citations

Sullivan, Graeme P., Conor M. Henry, Pavel B. Davidovich, et al.. (2020). TRAIL Receptors Serve as Stress-Associated Molecular Patterns to Promote ER-Stress-Induced Inflammation. Developmental Cell. 52(6). 714–730.e5. 50 indexed citations

Gordon, Oliver, Conor M. Henry, Naren Srinivasan, et al.. (2018). α-actinin accounts for the bioactivity of actin preparations in inducing STAT target genes in Drosophila melanogaster. eLife. 7. 20 indexed citations

Clancy, Danielle M., Graeme P. Sullivan, Conor M. Henry, et al.. (2018). Extracellular Neutrophil Proteases Are Efficient Regulators of IL-1, IL-33, and IL-36 Cytokine Activity but Poor Effectors of Microbial Killing. Cell Reports. 22(11). 2937–2950. 153 indexed citations

Sullivan, Graeme P., Conor M. Henry, Danielle M. Clancy, et al.. (2018). Suppressing IL-36-driven inflammation using peptide pseudosubstrates for neutrophil proteases. Cell Death and Disease. 9(3). 378–378. 39 indexed citations

10.

Sullivan, Graeme P., Pavel B. Davidovich, Sylvia Sura‐Trueba, et al.. (2018). Identification of small‐molecule elastase inhibitors as antagonists of IL‐36 cytokine activation. FEBS Open Bio. 8(5). 751–763. 13 indexed citations

11.

Henry, Conor M. & Séamus J. Martin. (2017). Caspase-8 Acts in a Non-enzymatic Role as a Scaffold for Assembly of a Pro-inflammatory “FADDosome” Complex upon TRAIL Stimulation. Molecular Cell. 65(4). 715–729.e5. 202 indexed citations

12.

Clancy, Danielle M., Conor M. Henry, Graeme P. Sullivan, & Séamus J. Martin. (2017). Neutrophil extracellular traps can serve as platforms for processing and activation of IL‐1 family cytokines. FEBS Journal. 284(11). 1712–1725. 113 indexed citations

13.

Henry, Conor M., Graeme P. Sullivan, Danielle M. Clancy, et al.. (2016). Neutrophil-Derived Proteases Escalate Inflammation through Activation of IL-36 Family Cytokines. Cell Reports. 14(4). 708–722. 253 indexed citations

14.

Clancy, Danielle M., et al.. (2016). Production of biologically active IL‐36 family cytokines through insertion of N‐terminal caspase cleavage motifs. FEBS Open Bio. 6(4). 338–348. 13 indexed citations

15.

Kearney, Conor J., Sean P. Cullen, Graham A. Tynan, et al.. (2015). Necroptosis suppresses inflammation via termination of TNF- or LPS-induced cytokine and chemokine production. Cell Death and Differentiation. 22(8). 1313–1327. 109 indexed citations

16.

Cullen, Sean P., Conor M. Henry, Conor J. Kearney, et al.. (2013). Fas/CD95-Induced Chemokines Can Serve as “Find-Me” Signals for Apoptotic Cells. Molecular Cell. 49(6). 1034–1048. 179 indexed citations

17.

Henry, Conor M., Émilie Hollville, & Séamus J. Martin. (2013). Measuring apoptosis by microscopy and flow cytometry. Methods. 61(2). 90–97. 154 indexed citations

18.

Martin, Séamus J., Conor M. Henry, & Sean P. Cullen. (2012). A Perspective on Mammalian Caspases as Positive and Negative Regulators of Inflammation. Molecular Cell. 46(4). 387–397. 159 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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