Colin McGuckin

2.9k total citations
77 papers, 2.0k citations indexed

About

Colin McGuckin is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Colin McGuckin has authored 77 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 30 papers in Genetics and 16 papers in Hematology. Recurrent topics in Colin McGuckin's work include Mesenchymal stem cell research (25 papers), Pluripotent Stem Cells Research (18 papers) and Hematopoietic Stem Cell Transplantation (14 papers). Colin McGuckin is often cited by papers focused on Mesenchymal stem cell research (25 papers), Pluripotent Stem Cells Research (18 papers) and Hematopoietic Stem Cell Transplantation (14 papers). Colin McGuckin collaborates with scholars based in United Kingdom, France and United States. Colin McGuckin's co-authors include Nico Forraz, Nicolas Forraz, Ruth Pettengell, Marcin Jurga, E. C. Gordon‐Smith, Sarah E. Ball, Marc‐Olivier Baradez, Gregory D. Jenkins, Christina Basford and Larry Denner and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Biomaterials.

In The Last Decade

Colin McGuckin

75 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Colin McGuckin United Kingdom 27 885 805 490 268 243 77 2.0k
Erja Kerkelä Finland 27 1.3k 1.4× 481 0.6× 400 0.8× 102 0.4× 279 1.1× 52 2.5k
Jaroslav Mokrý Czechia 24 929 1.0× 569 0.7× 452 0.9× 64 0.2× 177 0.7× 109 2.3k
Jim Middleton United Kingdom 25 1.2k 1.4× 1.7k 2.1× 952 1.9× 212 0.8× 311 1.3× 36 4.1k
Zygmunt Pojda Poland 22 457 0.5× 483 0.6× 327 0.7× 469 1.8× 130 0.5× 79 1.7k
Aparecida Maria Fontes Brazil 16 831 0.9× 1.2k 1.5× 695 1.4× 141 0.5× 196 0.8× 52 2.2k
Gary Brooke Australia 18 588 0.7× 1.1k 1.4× 768 1.6× 165 0.6× 202 0.8× 32 2.5k
Gerd Klein Germany 35 1.6k 1.8× 536 0.7× 418 0.9× 700 2.6× 258 1.1× 81 3.8k
Rolf E. Brenner Germany 20 587 0.7× 422 0.5× 335 0.7× 80 0.3× 249 1.0× 39 1.7k
Jorge Domenech France 23 632 0.7× 1.1k 1.4× 548 1.1× 466 1.7× 172 0.7× 61 2.3k
B. Linju Yen Taiwan 32 1.2k 1.3× 1.6k 2.0× 1.1k 2.2× 97 0.4× 342 1.4× 68 3.3k

Countries citing papers authored by Colin McGuckin

Since Specialization
Citations

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

Fields of papers citing papers by Colin McGuckin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Colin McGuckin

This figure shows the co-authorship network connecting the top 25 collaborators of Colin McGuckin. A scholar is included among the top collaborators of Colin McGuckin 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 Colin McGuckin. Colin McGuckin 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.
McGuckin, Colin, Nico Forraz, Yordan Sbirkov, et al.. (2025). Colorectal Cancer Hepatic Metastasis Modeling by Advanced 3D Bioprinting Allows Demonstration of Oncolytic Viral Chemotherapeutic Delivery. Cancers. 17(22). 3705–3705.
2.
Sbirkov, Yordan, et al.. (2024). High Hopes for the Biofabrication of Articular Cartilage—What Lies beyond the Horizon of Tissue Engineering and 3D Bioprinting?. Biomedicines. 12(3). 665–665. 2 indexed citations
3.
Nahori, Marie‐Anne, Julien Fernandes, Michael G. Connor, et al.. (2024). Infected wound repair correlates with collagen I induction and NOX2 activation by cold atmospheric plasma. npj Regenerative Medicine. 9(1). 28–28. 4 indexed citations
4.
5.
McGuckin, Colin, Nico Forraz, Yordan Sbirkov, et al.. (2023). World’s First Long-Term Colorectal Cancer Model by 3D Bioprinting as a Mechanism for Screening Oncolytic Viruses. Cancers. 15(19). 4724–4724. 11 indexed citations
6.
Podrini, Christine, et al.. (2023). Topical Administration of Lactiplantibacillus plantarum (SkinDuoTM) Serum Improves Anti-Acne Properties. Microorganisms. 11(2). 417–417. 15 indexed citations
7.
8.
Fraunhoffer, Nicolás A., Abdessamad El-Kaoutari, Odile Gayet, et al.. (2021). Exploring the Complementarity of Pancreatic Ductal Adenocarcinoma Preclinical Models. Cancers. 13(10). 2473–2473. 8 indexed citations
9.
Bélilovsky, C. de, G. Boyer, Colin McGuckin, et al.. (2018). 702 Age-dependent transformation of skin biomechanical properties and micromorphology during infancy and childhood. Journal of Investigative Dermatology. 138(5). S119–S119.
10.
Ducret, Maxime, Hugo Fabre, Jean‐Christophe Farges, et al.. (2015). Production of Human Dental Pulp Cells with a Medicinal Manufacturing Approach. Journal of Endodontics. 41(9). 1492–1499. 25 indexed citations
11.
Jurga, Marcin, Nico Forraz, Christina Basford, et al.. (2011). Neurogenic Properties and a Clinical Relevance of Multipotent Stem Cells Derived from Cord Blood Samples Stored in the Biobanks. Stem Cells and Development. 21(6). 923–936. 14 indexed citations
12.
Ali, Hamad, et al.. (2009). Defined serum-free culturing conditions for neural tissue engineering of human cord blood stem cells. Acta Neurobiologiae Experimentalis. 69(1). 12–23. 24 indexed citations
13.
Zhao, Junhan, Yvonne Bodenburg, Colin McGuckin, et al.. (2009). Oct‐4A isoform is expressed in human cord blood‐derived CD133 stem cells and differentiated progeny. Cell Proliferation. 42(3). 265–275. 5 indexed citations
14.
Forraz, Nico, et al.. (2005). Comparison of Growth Rates for ex vivo Expanded Limbal Epithelium on Amniotic Membrane, Laminin, Hyaluronic Acid, Collagen I, Collagen IV and Fibronectin. Investigative Ophthalmology & Visual Science. 46(13). 2076–2076. 1 indexed citations
15.
Russomano, Thaís, Ricardo Bertoglio Cardoso, Gustavo Dalmarco, et al.. (2005). Development and Validation of a 3D Clinostat for the Study of Cells during Microgravity Simulation. PubMed. 2006. 564–566. 15 indexed citations
16.
McGuckin, Colin, Nico Forraz, Ruth Pettengell, & Alexander Thompson. (2004). Thrombopoietin, flt3‐ligand and c‐kit‐ligand modulate HOX gene expression in expanding cord blood CD133+ cells. Cell Proliferation. 37(4). 295–306. 15 indexed citations
17.
Forraz, Nicolas, Ruth Pettengell, Pierre‐Antoine Deglesne, & Colin McGuckin. (2002). AC133+ umbilical cord blood progenitors demonstrate rapid self‐renewal and low apoptosis. British Journal of Haematology. 119(2). 516–524. 33 indexed citations
18.
McGuckin, Colin, et al.. (1998). Identification of emerging CD34 progenitor subsets.. UCL Discovery (University College London). 1 indexed citations
19.
McGuckin, Colin, et al.. (1995). c-kit protein (stem cell factor receptor) expression on cells with erythroid characteristics and on normal human bone marrow without the use of monoclonal antibodies.. PubMed. 23(1). 14–20. 3 indexed citations
20.
Bastion, Y, Pierre Bordigoni, Marianne Debré, et al.. (1994). Sustained response after recombinant interleukin-3 in diamond blackfan anemia [letter; comment]. Blood. 83(2). 617–618. 12 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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