Patrick Cullen

1.0k total citations
16 papers, 602 citations indexed

About

Patrick Cullen is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Patrick Cullen has authored 16 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Immunology and 4 papers in Genetics. Recurrent topics in Patrick Cullen's work include Neurogenetic and Muscular Disorders Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and RNA modifications and cancer (3 papers). Patrick Cullen is often cited by papers focused on Neurogenetic and Muscular Disorders Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and RNA modifications and cancer (3 papers). Patrick Cullen collaborates with scholars based in United States, Switzerland and Netherlands. Patrick Cullen's co-authors include Norm Allaire, Robert H. Scannevin, John F. Staropoli, C. Frank Bennett, Christina Fleet, Frank Rigo, John P. Carulli, Adrian R. Krainer, Yuting Liu and Ann Ranger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Neurology.

In The Last Decade

Patrick Cullen

15 papers receiving 594 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Patrick Cullen United States	12	301	183	176	118	72	16	602
Magdalena Paterka Germany	14	202 0.7×	442 2.4×	84 0.5×	239 2.0×	255 3.5×	19	844
Jana K. Sonner Germany	10	236 0.8×	204 1.1×	80 0.5×	88 0.7×	51 0.7×	19	551
Paul R. Kasher United Kingdom	12	384 1.3×	165 0.9×	192 1.1×	153 1.3×	12 0.2×	29	847
Tohru Hirato Japan	11	207 0.7×	70 0.4×	81 0.5×	66 0.6×	29 0.4×	18	566
Damian Wren United Kingdom	12	425 1.4×	94 0.5×	117 0.7×	180 1.5×	79 1.1×	19	952
Jonathan Mandelbaum United States	6	351 1.2×	213 1.2×	69 0.4×	140 1.2×	162 2.3×	7	753
Frank‐Peter Wachs Germany	11	402 1.3×	84 0.5×	130 0.7×	134 1.1×	28 0.4×	13	883
Zhitao Jing China	17	519 1.7×	93 0.5×	87 0.5×	32 0.3×	37 0.5×	40	821
Yujun Pan China	11	146 0.5×	157 0.9×	50 0.3×	61 0.5×	20 0.3×	16	433
Piotr Przanowski United States	14	455 1.5×	389 2.1×	159 0.9×	191 1.6×	34 0.5×	24	951

Countries citing papers authored by Patrick Cullen

Since Specialization

Citations

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

Fields of papers citing papers by Patrick Cullen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Cullen

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

All Works

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16 of 16 papers shown

Ouyang, Zhengyu, Paige Cundiff, Patrick Cullen, et al.. (2022). Characterizing the composition of iPSC derived cells from bulk transcriptomics data with CellMap. Scientific Reports. 12(1). 17394–17394.

Alves, Christiano R. R., Marco Petrillo, Patrick Cullen, et al.. (2021). Increased systemic HSP70B levels in spinal muscular atrophy infants. Annals of Clinical and Translational Neurology. 8(7). 1495–1501. 7 indexed citations

Zhou, Yizhou, Eric Marshall, Patrick Cullen, et al.. (2021). Benchmarking and optimization of a high‐throughput sequencing based method for transgene sequence variant analysis in biotherapeutic cell line development. Biotechnology Journal. 16(8). e2000548–e2000548. 2 indexed citations

Delbridge, Alex R. D., Dann Huh, Margot Brickelmaier, et al.. (2020). Organotypic Brain Slice Culture Microglia Exhibit Molecular Similarity to Acutely-Isolated Adult Microglia and Provide a Platform to Study Neuroinflammation. Frontiers in Cellular Neuroscience. 14. 592005–592005. 39 indexed citations

Chadli, Loubna, Kejie Li, Stefan N. Andersen, et al.. (2019). Identification of regulators of the myofibroblast phenotype of primary dermal fibroblasts from early diffuse systemic sclerosis patients. Scientific Reports. 9(1). 4521–4521. 35 indexed citations

Petri, Michelle, Wei Fu, Ann Ranger, et al.. (2019). Association between changes in gene signatures expression and disease activity among patients with systemic lupus erythematosus. BMC Medical Genomics. 12(1). 4–4. 58 indexed citations

Gyoneva, Stefka, Raghavendra Hosur, David Gosselin, et al.. (2019). Cx3cr1-deficient microglia exhibit a premature aging transcriptome. Life Science Alliance. 2(6). e201900453–e201900453. 68 indexed citations

Jangi, Mohini, Christina Fleet, Patrick Cullen, et al.. (2017). SMN deficiency in severe models of spinal muscular atrophy causes widespread intron retention and DNA damage. Proceedings of the National Academy of Sciences. 114(12). E2347–E2356. 91 indexed citations

Brennan, Melanie S., Hiral Patel, Norm Allaire, et al.. (2016). Pharmacodynamics of Dimethyl Fumarate Are Tissue Specific and Involve NRF2-Dependent and -Independent Mechanisms. Antioxidants and Redox Signaling. 24(18). 1058–1071. 48 indexed citations

10.

Peng, Haiyan, et al.. (2016). Dimethyl fumarate alters microglia phenotype and protects neurons against proinflammatory toxic microenvironments. Journal of Neuroimmunology. 299. 35–44. 44 indexed citations

11.

Haskett, Scott, Wei Zhang, Patrick Cullen, et al.. (2016). Identification of Novel CD4+ T Cell Subsets in the Target Tissue of Sjögren’s Syndrome and Their Differential Regulation by the Lymphotoxin/LIGHT Signaling Axis. The Journal of Immunology. 197(10). 3806–3819. 24 indexed citations

12.

Staropoli, John F., Seung Chun, Norm Allaire, et al.. (2015). Rescue of gene-expression changes in an induced mouse model of spinal muscular atrophy by an antisense oligonucleotide that promotes inclusion of SMN2 exon 7. Genomics. 105(4). 220–228. 29 indexed citations

13.

Banerjee, Daliya, Linlin Zhao, Lan Wu, et al.. (2015). Small molecule mediated inhibition of RORγ‐dependent gene expression and autoimmune disease pathology in vivo. Immunology. 147(4). 399–413. 33 indexed citations

14.

Brennan, Melanie S., Norm Allaire, David Huss, et al.. (2014). Dimethyl Fumarate and Monomethyl Fumarate are Distinguished by Non-Overlapping Pharmacodynamic Effects In Vivo (P1.206). Neurology. 82(10_supplement). 4 indexed citations

15.

Marcotte, D.J., Yuting Liu, Robert M. Arduini, et al.. (2010). Structures of human Bruton's tyrosine kinase in active and inactive conformations suggest a mechanism of activation for TEC family kinases. Protein Science. 19(3). 429–439. 106 indexed citations

16.

Sun, Dongyu, Claudio Chuaqui, Zhan Deng, et al.. (2006). A Kinase‐focused Compound Collection: Compilation and Screening Strategy. Chemical Biology & Drug Design. 67(6). 385–394. 14 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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