Daniel Crean

1.3k total citations
33 papers, 889 citations indexed

About

Daniel Crean is a scholar working on Immunology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Daniel Crean has authored 33 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 13 papers in Cellular and Molecular Neuroscience and 7 papers in Cancer Research. Recurrent topics in Daniel Crean's work include Nuclear Receptors and Signaling (12 papers), Macrophage Migration Inhibitory Factor (11 papers) and Cancer, Hypoxia, and Metabolism (5 papers). Daniel Crean is often cited by papers focused on Nuclear Receptors and Signaling (12 papers), Macrophage Migration Inhibitory Factor (11 papers) and Cancer, Hypoxia, and Metabolism (5 papers). Daniel Crean collaborates with scholars based in Ireland, Austria and United Kingdom. Daniel Crean's co-authors include Eoin P. Cummins, Evelyn P. Murphy, Orina Belton, Mary Barry, Monica de Gaetano, Cormac T. Taylor, Ciara E. Keogh, Catherine Godson, Martin O. Leonard and Paul Jennings and has published in prestigious journals such as The Journal of Immunology, The FASEB Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Daniel Crean

33 papers receiving 881 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Crean Ireland 16 323 319 157 141 110 33 889
Jun Yao China 14 426 1.3× 175 0.5× 81 0.5× 67 0.5× 75 0.7× 28 904
Meimei Yin United States 15 434 1.3× 201 0.6× 70 0.4× 76 0.5× 103 0.9× 21 1.1k
Changsen Wang Canada 17 384 1.2× 203 0.6× 80 0.5× 50 0.4× 158 1.4× 26 1.0k
Monika Niehof Germany 17 412 1.3× 173 0.5× 124 0.8× 48 0.3× 151 1.4× 29 944
Miriam Eckstein United States 16 503 1.6× 391 1.2× 89 0.6× 125 0.9× 88 0.8× 20 1.2k
Sang Doo Kim South Korea 21 790 2.4× 406 1.3× 130 0.8× 50 0.4× 87 0.8× 41 1.2k
Yi Xie China 21 759 2.3× 204 0.6× 279 1.8× 72 0.5× 143 1.3× 59 1.3k
Antonio Tugores Spain 18 550 1.7× 361 1.1× 159 1.0× 43 0.3× 78 0.7× 57 1.3k
Youqi Han Canada 12 776 2.4× 306 1.0× 288 1.8× 56 0.4× 131 1.2× 16 1.4k
Ye Zhao China 17 575 1.8× 300 0.9× 147 0.9× 40 0.3× 113 1.0× 33 1.3k

Countries citing papers authored by Daniel Crean

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Crean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Crean

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

All Works

20 of 20 papers shown
1.
Shigemura, Masahiko, et al.. (2024). Orphan Nuclear Receptor Family 4A (NR4A) Members NR4A2 and NR4A3 Selectively Modulate Elements of the Monocyte Response to Buffered Hypercapnia. International Journal of Molecular Sciences. 25(5). 2852–2852. 3 indexed citations
2.
Crean, Daniel, et al.. (2024). Impact and Assessment of Research Integrity Teaching: A Systematic Literature Review. Science and Engineering Ethics. 30(4). 30–30. 2 indexed citations
3.
Crean, Daniel, et al.. (2023). Teaching research integrity as discussed in research integrity codes: A systematic literature review. Accountability in Research. 32(3). 369–392. 3 indexed citations
4.
Murphy, Evelyn P. & Daniel Crean. (2022). NR4A1-3 nuclear receptor activity and immune cell dysregulation in rheumatic diseases. Frontiers in Medicine. 9. 874182–874182. 7 indexed citations
5.
Shigemura, Masahiko, Catarina Mota, Thomas J. Hall, et al.. (2021). Transcriptional Profiling of Monocytes Deficient in Nuclear Orphan Receptors NR4A2 and NR4A3 Reveals Distinct Signalling Roles Related to Antigen Presentation and Viral Response. Frontiers in Immunology. 12. 676644–676644. 14 indexed citations
6.
Cummins, Eoin P., et al.. (2021). Protein kinase D, ubiquitin and proteasome pathways are involved in adenosine receptor-stimulated NR4A expression in myeloid cells. Biochemical and Biophysical Research Communications. 555. 19–25. 1 indexed citations
7.
Murphy, Brenda, Kevin Thornton, Anindya Mukhopadhya, et al.. (2021). The NR4A agonist, Cytosporone B, attenuates pro-inflammatory mediators in human colorectal cancer tissue ex vivo. Biochemical and Biophysical Research Communications. 554. 179–185. 8 indexed citations
8.
Schaible, Bettina, Eric J. Brown, Carsten C. Scholz, et al.. (2019). Hydroxylase Inhibition Selectively Induces Cell Death in Monocytes. The Journal of Immunology. 202(5). 1521–1530. 7 indexed citations
9.
Kearney, Clodagh, et al.. (2018). Intra-articular delivery of a nanocomplex comprising salmon calcitonin, hyaluronic acid, and chitosan using an equine model of joint inflammation. Drug Delivery and Translational Research. 8(5). 1421–1435. 16 indexed citations
10.
McEvoy, Caitríona M., Monica de Gaetano, Bojlul Bahar, et al.. (2017). NR4A Receptors Differentially Regulate NF-κB Signaling in Myeloid Cells. Frontiers in Immunology. 8. 7–7. 34 indexed citations
11.
Gaetano, Monica de, Daniel Crean, Mary Barry, & Orina Belton. (2016). M1- and M2-Type Macrophage Responses Are Predictive of Adverse Outcomes in Human Atherosclerosis. Frontiers in Immunology. 7. 275–275. 132 indexed citations
12.
Crean, Daniel & Catherine Godson. (2015). Specialised lipid mediators and their targets. Seminars in Immunology. 27(3). 169–176. 20 indexed citations
13.
Jennings, Paul, Daniel Crean, Lydia Aschauer, et al.. (2014). Interleukin-19 as a translational indicator of renal injury. Archives of Toxicology. 89(1). 101–106. 22 indexed citations
14.
Crean, Daniel, Patricia Bellwon, Lydia Aschauer, et al.. (2014). Development of an in vitro renal epithelial disease state model for xenobiotic toxicity testing. Toxicology in Vitro. 30(1). 128–137. 33 indexed citations
15.
Gallagher, Mary E., et al.. (2014). Modulation of expression in BEAS-2B airway epithelial cells of α-l-fucosidase A1 and A2 by Th1 and Th2 cytokines, and overexpression of α-l-fucosidase 2. Molecular and Cellular Biochemistry. 390(1-2). 101–113. 9 indexed citations
16.
17.
Crean, Daniel, et al.. (2012). Glucose reintroduction triggers the activation of Nrf2 during experimental ischemia reperfusion. Molecular and Cellular Biochemistry. 366(1-2). 231–238. 18 indexed citations
18.
Marzaioli, Viviana, Jason McMorrow, Daniel Crean, et al.. (2012). Histamine contributes to increased RANKL to osteoprotegerin ratio through altered nuclear receptor 4A activity in human chondrocytes. Arthritis & Rheumatism. 64(10). 3290–3301. 15 indexed citations
19.
Wilmes, Anja, et al.. (2010). Identification and dissection of the Nrf2 mediated oxidative stress pathway in human renal proximal tubule toxicity. Toxicology in Vitro. 25(3). 613–622. 63 indexed citations
20.
Grosh, William W., et al.. (1988). Cerebrospinal Fluid α-Fetoprotein in Germ Cell Neoplasms. Southern Medical Journal. 81(9). 1195–1197. 1 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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