Barbara Young

992 total citations
17 papers, 468 citations indexed

About

Barbara Young is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Barbara Young has authored 17 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Pulmonary and Respiratory Medicine and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Barbara Young's work include Ubiquitin and proteasome pathways (6 papers), Prostate Cancer Treatment and Research (6 papers) and Protein Degradation and Inhibitors (5 papers). Barbara Young is often cited by papers focused on Ubiquitin and proteasome pathways (6 papers), Prostate Cancer Treatment and Research (6 papers) and Protein Degradation and Inhibitors (5 papers). Barbara Young collaborates with scholars based in United States, United Kingdom and Australia. Barbara Young's co-authors include Nicola Joss, Colin Geddes, Scott Morris, Angela Chou, Ingrid Winship, Peter Earls, Adele Clarkson, Bruce G. Robinson, Roderick Clifton‐Bligh and Anthony J. Gill and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Genetics.

In The Last Decade

Barbara Young

17 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Barbara Young United States 8 201 140 85 81 78 17 468
Masayo Kimura Japan 14 308 1.5× 72 0.5× 82 1.0× 105 1.3× 78 1.0× 35 704
Meijin Huang China 13 262 1.3× 85 0.6× 156 1.8× 27 0.3× 97 1.2× 31 524
Xiaona Chang China 12 149 0.7× 53 0.4× 51 0.6× 39 0.5× 37 0.5× 47 438
Ziling Huang China 11 171 0.9× 171 1.2× 98 1.2× 25 0.3× 41 0.5× 27 401
Hongyan Sun China 15 289 1.4× 129 0.9× 180 2.1× 26 0.3× 39 0.5× 60 627
Qingyu Kong China 12 103 0.5× 64 0.5× 38 0.4× 24 0.3× 44 0.6× 32 373
Renpin Chen China 14 177 0.9× 65 0.5× 83 1.0× 52 0.6× 86 1.1× 27 505
Yasuhito Suzuki Japan 13 155 0.8× 140 1.0× 26 0.3× 98 1.2× 47 0.6× 46 627
Katarzyna Nowińska Poland 14 203 1.0× 119 0.8× 102 1.2× 104 1.3× 36 0.5× 26 497
Alessio Degiovanni Italy 12 121 0.6× 85 0.6× 70 0.8× 59 0.7× 53 0.7× 23 345

Countries citing papers authored by Barbara Young

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Young

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

All Works

17 of 17 papers shown
1.
Trevillian, Paul, Peter Diakumis, Yanyan Wang, et al.. (2022). KCTD1 and Scalp-Ear-Nipple (‘Finlay–Marks’) syndrome may be associated with myopia and Thin basement membrane nephropathy through an effect on the collagen IV α3 and α4 chains. Ophthalmic Genetics. 44(1). 19–27. 5 indexed citations
2.
Brooks, Nigel, Amy Prosser, Barbara Young, et al.. (2019). Abstract 3826: CCS1477, a potent and selective p300/CBP bromodomain inhibitor, is targeted & differentiated from BET inhibitors in prostate cancer cell lines in vitro. Cancer Research. 79(13_Supplement). 3826–3826. 6 indexed citations
3.
Elvin, Paul, Neil Pegg, Simone Daminelli, et al.. (2019). Abstract 1019: P300/CBP inhibitor CCS1477 targets 22Rv1 prostate tumor AR and c-myc gene expression in vivo. Cancer Research. 79(13_Supplement). 1019–1019. 1 indexed citations
4.
Pegg, Neil, Jenny Worthington, Barbara Young, et al.. (2018). Abstract 3991: Novel small molecule inhibitors of p300/CBP down-regulate androgen receptor (AR) and c-Myc for the treatment of prostate cancer and beyond. Cancer Research. 78(13_Supplement). 3991–3991. 3 indexed citations
5.
Mannan, Abdul, et al.. (2017). Functional importance of PP2A regulatory subunit loss in breast cancer. Breast Cancer Research and Treatment. 166(1). 117–131. 22 indexed citations
6.
Pegg, Neil, Nigel Brooks, Jenny Worthington, et al.. (2017). Characterisation of CCS1477: A novel small molecule inhibitor of p300/CBP for the treatment of castration resistant prostate cancer.. Journal of Clinical Oncology. 35(15_suppl). 11590–11590. 23 indexed citations
7.
Brooks, Nigel, Neil Pegg, Jenny Worthington, et al.. (2017). A novel small molecule inhibitor of p300/CBP for the treatment of castration-resistant prostate cancer: Preclinical evaluation.. Journal of Clinical Oncology. 35(6_suppl). 168–168. 2 indexed citations
8.
Brooks, Nigel, Neil Pegg, Jenny Worthington, et al.. (2017). Abstract 1575: Novel small molecule inhibitors of p300/CBP down-regulate AR and c-Myc for the treatment of castrate resistant prostate cancer. Cancer Research. 77(13_Supplement). 1575–1575. 1 indexed citations
9.
Wang, Ting, Wendy Beattie, John McClure, et al.. (2016). Dissecting the genetic components of a quantitative trait locus for blood pressure and renal pathology on rat chromosome 3. Journal of Hypertension. 35(2). 319–329. 5 indexed citations
10.
McBride, Martin, John McClure, Elisabeth Beattie, et al.. (2013). Interaction Between Chromosome 2 and 3 Regulates Pulse Pressure in the Stroke-Prone Spontaneously Hypertensive Rat. Hypertension. 62(1). 33–40. 8 indexed citations
11.
Gill, Anthony J., Nicholas Pachter, Angela Chou, et al.. (2011). Renal Tumors Associated With Germline SDHB Mutation Show Distinctive Morphology. The American Journal of Surgical Pathology. 35(10). 1578–1585. 138 indexed citations
12.
Graham, Delyth, Carlene A. Hamilton, Gavin Nicoll, et al.. (2009). Renal and vascular glutathione S-transferase μ is not affected by pharmacological intervention to reduce systolic blood pressure. Journal of Hypertension. 27(8). 1575–1584. 7 indexed citations
13.
Joss, Nicola, Scott Morris, Barbara Young, & Colin Geddes. (2007). Granulomatous Interstitial Nephritis. Clinical Journal of the American Society of Nephrology. 2(2). 222–230. 113 indexed citations
14.
Young, Barbara, et al.. (2006). Suppression of the Cell-Mediated Immune Response by a Fas-Immunoglobulin Fusion Protein. Transplantation. 81(7). 1041–1048. 1 indexed citations
15.
16.
Singh, Mahipal, Nancy Hamel, Barbara Young, et al.. (1996). Nuclear Genes Associated With a Single Brassica CMS Restorer Locws Influence Transcripts of Three Different Mitochondrial Gene Regions. Genetics. 143(1). 505–516. 51 indexed citations
17.
Powell-Jackson, P R, Barbara Young, Roy Calne, & Roger Williams. (1983). NEPHROTOXICITY OF PARENTERALLY ADMINISTERED CYCLOSPORINE AFTER ORTHOTOPIC LIVER TRANSPLANTATION. Transplantation. 36(5). 505–508. 35 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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