Christopher B. Mahony

742 total citations
19 papers, 325 citations indexed

About

Christopher B. Mahony is a scholar working on Cell Biology, Molecular Biology and Immunology. According to data from OpenAlex, Christopher B. Mahony has authored 19 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cell Biology, 10 papers in Molecular Biology and 10 papers in Immunology. Recurrent topics in Christopher B. Mahony's work include Zebrafish Biomedical Research Applications (12 papers), Hematopoietic Stem Cell Transplantation (5 papers) and Single-cell and spatial transcriptomics (3 papers). Christopher B. Mahony is often cited by papers focused on Zebrafish Biomedical Research Applications (12 papers), Hematopoietic Stem Cell Transplantation (5 papers) and Single-cell and spatial transcriptomics (3 papers). Christopher B. Mahony collaborates with scholars based in United Kingdom, Switzerland and United States. Christopher B. Mahony's co-authors include Julien Bertrand, Richard J. Fish, Valérie Wittamer, Giuliano Ferrero, David Traver, Pietro Cacialli, Laurent Yvernogeau, Catherine Robin, Rui Monteiro and Tim Petzold and has published in prestigious journals such as Nature Communications, Blood and Development.

In The Last Decade

Christopher B. Mahony

19 papers receiving 324 citations

Peers

Christopher B. Mahony

IMMUN

HEMAT

NEURO

Lindsay N. Theodore United States

Parisa Imanirad United States

L. Bourcheix France

Philip Pinheiro United Kingdom

Vladimíra Sládková Czechia

Rafaèle Tordjman France

Tatiana Usenko Russia

Cherry Ee Lin Ng Singapore

Maria Konstantoulaki United States

Brian R. Sperber United States

Lindsay N. Theodore United States

Christopher B. Mahony

138 ×0.9

106 ×0.7

86 ×0.7

IMMUN

86 ×1.1

HEMAT

6 ×0.1

NEURO

Citations per year, relative to Christopher B. Mahony Christopher B. Mahony (= 1×) peers Lindsay N. Theodore

Countries citing papers authored by Christopher B. Mahony

Since Specialization

Citations

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

Fields of papers citing papers by Christopher B. Mahony

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher B. Mahony

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

All Works

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19 of 19 papers shown

Evans, N., Charalampia Papadopoulou, Clarissa Pilkington, et al.. (2025). Spatial transcriptomic analysis of muscle biopsy from patients with treatment-naive juvenile dermatomyositis reveals mitochondrial abnormalities despite disease-related interferon-driven signature. Annals of the Rheumatic Diseases. 84(10). 1706–1720. 1 indexed citations

Baruah, Paramita, Christopher B. Mahony, Jennifer L. Marshall, et al.. (2024). Single-cell RNA sequencing analysis of vestibular schwannoma reveals functionally distinct macrophage subsets. British Journal of Cancer. 130(10). 1659–1669. 3 indexed citations

Mahony, Christopher B. & Rui Monteiro. (2024). Protocol for the analysis of hematopoietic lineages in the whole kidney marrow of adult zebrafish. STAR Protocols. 5(1). 102810–102810. 2 indexed citations

Ma, Margaret, Yann Abraham, Christopher B. Mahony, et al.. (2024). NK cell subsets define sustained remission in rheumatoid arthritis. JCI Insight. 9(23). 5 indexed citations

Coras, Roxana, Julio Ramírez, Christopher B. Mahony, et al.. (2024). Synovial 5‐Lipoxygenase–Derived Oxylipins Define a Lympho‐Myeloid–Enriched Synovium. Arthritis & Rheumatology. 76(8). 1230–1242. 2 indexed citations

Torres, Alyssa, Sarah Kang, Christopher B. Mahony, et al.. (2023). Role of mitochondria-bound HK2 in rheumatoid arthritis fibroblast-like synoviocytes. Frontiers in Immunology. 14. 1103231–1103231. 13 indexed citations

Mahony, Christopher B., Alyssa Torres, Samuel Kemble, et al.. (2023). Dual inhibition of glycolysis and glutaminolysis for synergistic therapy of rheumatoid arthritis. Arthritis Research & Therapy. 25(1). 176–176. 14 indexed citations

Mahony, Christopher B., Pavle Vrljicak, Boris Noyvert, et al.. (2023). Lineage skewing and genome instability underlie marrow failure in a zebrafish model of GATA2 deficiency. Cell Reports. 42(6). 112571–112571. 4 indexed citations

Jong, Madelon M.E. de, Christopher B. Mahony, Remco M. Hoogenboezem, et al.. (2021). Essential role for Gata2 in modulating lineage output from hematopoietic stem cells in zebrafish. Blood Advances. 5(13). 2687–2700. 25 indexed citations

10.

Cacialli, Pietro, et al.. (2021). A connexin/ifi30 pathway bridges HSCs with their niche to dampen oxidative stress. Nature Communications. 12(1). 4484–4484. 28 indexed citations

11.

Peña, Oscar A, et al.. (2021). Differential Requirement of Gata2a and Gata2b for Primitive and Definitive Myeloid Development in Zebrafish. Frontiers in Cell and Developmental Biology. 9. 708113–708113. 5 indexed citations

12.

Mahony, Christopher B., et al.. (2021). Hapln1b, a central organizer of the ECM, modulates kit signaling to control developmental hematopoiesis in zebrafish. Blood Advances. 5(23). 4935–4948. 11 indexed citations

13.

Mahony, Christopher B., Mónika Krecsmarik, Rossella Rispoli, et al.. (2020). Deletion of a conserved Gata2 enhancer impairs haemogenic endothelium programming and adult Zebrafish haematopoiesis. Communications Biology. 3(1). 71–71. 23 indexed citations

14.

Beedie, Shaunna, Emily Harris, Jonathan D. Strope, et al.. (2020). Role of cereblon in angiogenesis and in mediating the antiangiogenic activity of immunomodulatory drugs. The FASEB Journal. 34(9). 11395–11404. 19 indexed citations

15.

Mahony, Christopher B. & Julien Bertrand. (2019). How HSCs Colonize and Expand in the Fetal Niche of the Vertebrate Embryo: An Evolutionary Perspective. Frontiers in Cell and Developmental Biology. 7. 34–34. 25 indexed citations

16.

Mahony, Christopher B., et al.. (2019). bif1, a new BMP signaling inhibitor, regulates embryonic hematopoiesis in the zebrafish. Development. 146(6). 4 indexed citations

17.

Ferrero, Giuliano, Christopher B. Mahony, Laurent Yvernogeau, et al.. (2018). Embryonic Microglia Derive from Primitive Macrophages and Are Replaced by cmyb-Dependent Definitive Microglia in Zebrafish. Cell Reports. 24(1). 130–141. 76 indexed citations

18.

Mahony, Christopher B., et al.. (2018). Oncostatin M and Kit-Ligand Control Hematopoietic Stem Cell Fate during Zebrafish Embryogenesis. Stem Cell Reports. 10(6). 1920–1934. 23 indexed citations

19.

Mahony, Christopher B., et al.. (2016). tfec controls the hematopoietic stem cell vascular niche during zebrafish embryogenesis. Blood. 128(10). 1336–1345. 42 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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