Caroline J. Barelle

2.2k total citations
42 papers, 1.8k citations indexed

About

Caroline J. Barelle is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology. According to data from OpenAlex, Caroline J. Barelle has authored 42 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Molecular Biology and 11 papers in Immunology. Recurrent topics in Caroline J. Barelle's work include Monoclonal and Polyclonal Antibodies Research (19 papers), Antifungal resistance and susceptibility (8 papers) and Glycosylation and Glycoproteins Research (7 papers). Caroline J. Barelle is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (19 papers), Antifungal resistance and susceptibility (8 papers) and Glycosylation and Glycoproteins Research (7 papers). Caroline J. Barelle collaborates with scholars based in United Kingdom, United States and Germany. Caroline J. Barelle's co-authors include Alistair J. P. Brown, A.J. Porter, Neil A. R. Gow, Frank C. Odds, Ian D. Broadbent, Donna M. MacCallum, Abdul Munir Abdul Murad, John Steven, Marina Kovaleva and Davinder Gill and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Caroline J. Barelle

41 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline J. Barelle United Kingdom 20 929 731 577 547 290 42 1.8k
Zhongtian Qi China 27 1.2k 1.3× 518 0.7× 599 1.0× 117 0.2× 422 1.5× 136 2.6k
Mary C. Graves United States 18 935 1.0× 431 0.6× 294 0.5× 315 0.6× 437 1.5× 33 2.2k
Ping Tsui United States 23 902 1.0× 253 0.3× 156 0.3× 486 0.9× 364 1.3× 53 1.8k
Thomas Powell United States 16 1.1k 1.2× 249 0.3× 521 0.9× 160 0.3× 753 2.6× 31 2.4k
Eric Guenzi Germany 16 616 0.7× 102 0.1× 501 0.9× 186 0.3× 396 1.4× 27 1.8k
Frank R. Brennan United Kingdom 25 660 0.7× 247 0.3× 103 0.2× 357 0.7× 659 2.3× 54 2.1k
George E. Mark United States 22 861 0.9× 202 0.3× 216 0.4× 212 0.4× 262 0.9× 54 1.5k
Jamie Heimburg‐Molinaro United States 27 1.9k 2.0× 203 0.3× 384 0.7× 445 0.8× 1.1k 3.8× 76 2.7k
Danuta Kozbor United States 31 778 0.8× 245 0.3× 274 0.5× 635 1.2× 1.3k 4.6× 70 2.5k
Mario Amacker Switzerland 20 967 1.0× 501 0.7× 449 0.8× 92 0.2× 563 1.9× 45 2.1k

Countries citing papers authored by Caroline J. Barelle

Since Specialization
Citations

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

Fields of papers citing papers by Caroline J. Barelle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline J. Barelle. 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 Caroline J. Barelle. The network helps show where Caroline J. Barelle may publish in the future.

Co-authorship network of co-authors of Caroline J. Barelle

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline J. Barelle. A scholar is included among the top collaborators of Caroline J. Barelle 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 Caroline J. Barelle. Caroline J. Barelle 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.
2.
Hutton, Aaron R. J., et al.. (2022). Enhancing the Transdermal Delivery of ‘Next Generation’ Variable New Antigen Receptors Using Microarray Patch Technology: a Proof-of-Concept Study. Journal of Pharmaceutical Sciences. 111(12). 3362–3376. 8 indexed citations
3.
Kovaleva, Marina, et al.. (2022). Overview, Generation, and Significance of Variable New Antigen Receptors (VNARs) as a Platform for Drug and Diagnostic Development. Methods in molecular biology. 2446. 19–33. 3 indexed citations
4.
Fraile, Julia M., et al.. (2021). Non-Alcoholic Steatohepatitis (NASH) – A Review of a Crowded Clinical Landscape, Driven by a Complex Disease. Drug Design Development and Therapy. Volume 15. 3997–4009. 91 indexed citations
5.
Smyth, Peter, et al.. (2021). Development of next generation nanomedicine-based approaches for the treatment of cancer: we've barely scratched the surface. Biochemical Society Transactions. 49(5). 2253–2269. 19 indexed citations
7.
Canning, Paul, Caroline J. Barelle, Fiona Cunningham, et al.. (2019). Pre-treatment of Endothelial Colony Forming Cells (ECFCs) with a novel anti-oxidant enhances their vasoregenerative potential.. Investigative Ophthalmology & Visual Science. 60(9). 1663–1663. 1 indexed citations
9.
Ferguson, Laura T., et al.. (2018). Next-generation flexible formats of VNAR domains expand the drug platform's utility and developability. Biochemical Society Transactions. 46(6). 1559–1565. 34 indexed citations
11.
Steven, John, Mischa Müller, Miguel F. Carvalho, et al.. (2017). In Vitro Maturation of a Humanized Shark VNAR Domain to Improve Its Biophysical Properties to Facilitate Clinical Development. Frontiers in Immunology. 8. 1361–1361. 36 indexed citations
12.
Barelle, Caroline J., et al.. (2016). Phage Display Derived IgNAR V Region Binding Domains for Therapeutic Development. Current Pharmaceutical Design. 22(43). 6519–6526. 9 indexed citations
13.
Kovaleva, Marina, Laura T. Ferguson, John Steven, A.J. Porter, & Caroline J. Barelle. (2014). Shark variable new antigen receptor biologics – a novel technology platform for therapeutic drug development. Expert Opinion on Biological Therapy. 14(10). 1527–1539. 70 indexed citations
14.
Müller, Mischa, Kenneth Saunders, Christopher Grace, et al.. (2012). Improving the pharmacokinetic properties of biologics by fusion to an anti-HSA shark VNAR domain. mAbs. 4(6). 673–685. 73 indexed citations
15.
Barelle, Caroline J., et al.. (2007). Azole antifungals induce up-regulation of SAP4, SAP5 and SAP6 secreted proteinase genes in filamentous Candida albicans cells in vitro and in vivo. Journal of Antimicrobial Chemotherapy. 61(2). 315–322. 14 indexed citations
16.
Barelle, Caroline J., Mathias L. Richard, Claude Gaillardin, Neil A. R. Gow, & Alistair J. P. Brown. (2006). Candida albicans VAC8 Is Required for Vacuolar Inheritance and Normal Hyphal Branching. Eukaryotic Cell. 5(2). 359–367. 25 indexed citations
17.
Barelle, Caroline J., Claire Manson, Donna M. MacCallum, et al.. (2004). GFP as a quantitative reporter of gene regulation in Candida albicans. Yeast. 21(4). 333–340. 100 indexed citations
18.
Barelle, Caroline J., Erin A. Bohula, Stephen J. Kron, et al.. (2003). Asynchronous Cell Cycle and Asymmetric Vacuolar Inheritance in True Hyphae of Candida albicans. Eukaryotic Cell. 2(3). 398–410. 62 indexed citations
19.
Brown, Alistair J. P., Caroline J. Barelle, Susan Budge, et al.. (2000). Gene Regulation during Morphogenesis in <i>Candida albicans</i>. PubMed. 5. 112–125. 12 indexed citations
20.
Robbie, L. A., et al.. (1996). Evidence for an active fibrinolytic system in normal human bone marrow. British Journal of Haematology. 93(1). 170–176. 16 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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