Steven Carberry

645 total citations
18 papers, 437 citations indexed

About

Steven Carberry is a scholar working on Molecular Biology, Cell Biology and Spectroscopy. According to data from OpenAlex, Steven Carberry has authored 18 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Cell Biology and 3 papers in Spectroscopy. Recurrent topics in Steven Carberry's work include Muscle Physiology and Disorders (9 papers), Muscle metabolism and nutrition (5 papers) and Advanced Proteomics Techniques and Applications (3 papers). Steven Carberry is often cited by papers focused on Muscle Physiology and Disorders (9 papers), Muscle metabolism and nutrition (5 papers) and Advanced Proteomics Techniques and Applications (3 papers). Steven Carberry collaborates with scholars based in Ireland, Germany and United Kingdom. Steven Carberry's co-authors include Kay Ohlendieck, Margit Zweyer, Dieter Swandulla, Ashling Holland, Jochen H.M. Prehn, Caroline A. Lewis, Yaxin Zhang, Orna Bacon, Joanna Fay and Manuela Salvucci and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Analytical Biochemistry.

In The Last Decade

Steven Carberry

18 papers receiving 435 citations

Peers

Steven Carberry

PHYSI

REHAB

CMN

Haeri Seol United States

Oliver Thompson United Kingdom

Jasmina Profirovic United States

Nandini V. L. Hayes United Kingdom

Y Nabeshima Japan

V. I. Zemelko Russia

Chiara Battistini Italy

Balwinder Sambi United Kingdom

Cécile Charrière‐Bertrand France

Roberta Ferretti Italy

Haeri Seol United States

Steven Carberry

292 ×0.8

84 ×0.5

76 ×0.8

PHYSI

32 ×0.6

REHAB

36 ×0.8

CMN

Citations per year, relative to Steven Carberry Steven Carberry (= 1×) peers Haeri Seol

Countries citing papers authored by Steven Carberry

Since Specialization

Citations

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

Fields of papers citing papers by Steven Carberry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Carberry

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

All Works

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18 of 18 papers shown

McCann, Christopher, Katherine McAllister, Sandra Van Schaeybroeck, et al.. (2021). Development of a protein signature to enable clinical positioning of IAP inhibitors in colorectal cancer. FEBS Journal. 288(18). 5374–5388. 4 indexed citations

Nolan, John, Manuela Salvucci, Steven Carberry, et al.. (2020). A Context-Dependent Role for MiR-124-3p on Cell Phenotype, Viability and Chemosensitivity in Neuroblastoma in vitro. Frontiers in Cell and Developmental Biology. 8. 559553–559553. 20 indexed citations

Lindner, Andreas U., Steven Carberry, Naser Monsefi, et al.. (2020). Systems analysis of protein signatures predicting cetuximab responses in KRAS, NRAS, BRAF and PIK3CA wild‐type patient‐derived xenograft models of metastatic colorectal cancer. International Journal of Cancer. 147(10). 2891–2901. 6 indexed citations

Gömceli, İsmail, Nesrin Turhan, Steven Carberry, et al.. (2020). Evaluation of an aldo-keto reductase gene signature with prognostic significance in colon cancer via activation of epithelial to mesenchymal transition and the p70S6K pathway. Carcinogenesis. 41(9). 1219–1228. 16 indexed citations

Salvucci, Manuela, Zaitun Zakaria, Steven Carberry, et al.. (2019). System-based approaches as prognostic tools for glioblastoma. BMC Cancer. 19(1). 1092–1092. 9 indexed citations

Lindner, Andreas U., Alexa J. Resler, Steven Carberry, et al.. (2019). Systems biology analysis identifies molecular determinants of chemotherapy-induced diarrhoea. Journal of Molecular Medicine. 98(1). 149–159. 4 indexed citations

Carberry, Steven, Beatrice D’Orsi, Naser Monsefi, et al.. (2018). The BAX/BAK-like protein BOK is a prognostic marker in colorectal cancer. Cell Death and Disease. 9(2). 125–125. 26 indexed citations

Salvucci, Manuela, Steven Carberry, Mattia Cremona, et al.. (2018). Abstract 4627: Integrated multi-layer analysis reveals novel insights into the molecular landscape of colorectal cancer (CRC). Cancer Research. 78(13_Supplement). 4627–4627. 2 indexed citations

Carberry, Steven, Áine C. Murphy, Andreas U. Lindner, et al.. (2016). Calnexin, an ER-induced protein, is a prognostic marker and potential therapeutic target in colorectal cancer. Journal of Translational Medicine. 14(1). 196–196. 53 indexed citations

10.

Chartier, Aymeric, Pierre Klein, Stéphanie Pierson, et al.. (2015). Mitochondrial Dysfunction Reveals the Role of mRNA Poly(A) Tail Regulation in Oculopharyngeal Muscular Dystrophy Pathogenesis. PLoS Genetics. 11(3). e1005092–e1005092. 44 indexed citations

11.

Holland, Ashling, Steven Carberry, & Kay Ohlendieck. (2013). Proteomics of the Dystrophin-glycoprotein Complex and Dystrophinopathy. Current Protein and Peptide Science. 14(8). 680–697. 44 indexed citations

12.

Carberry, Steven, Margit Zweyer, Dieter Swandulla, & Kay Ohlendieck. (2013). Comparative proteomic analysis of the contractile-protein-depleted fraction from normal versus dystrophic skeletal muscle. Analytical Biochemistry. 446. 108–115. 34 indexed citations

13.

Carberry, Steven & Kay Ohlendieck. (2013). Gel Electrophoresis-Based Proteomics of Senescent Tissues. Methods in molecular biology. 1048. 229–246. 11 indexed citations

14.

Carberry, Steven, et al.. (2013). Comparative proteomic profiling of soleus, extensor digitorum longus, flexor digitorum brevis and interosseus muscles from the mdx mouse model of Duchenne muscular dystrophy. International Journal of Molecular Medicine. 32(3). 544–556. 37 indexed citations

15.

Carberry, Steven, Margit Zweyer, Dieter Swandulla, & Kay Ohlendieck. (2013). Application of Fluorescence Two-Dimensional Difference In-Gel Electrophoresis as a Proteomic Biomarker Discovery Tool in Muscular Dystrophy Research. Biology. 2(4). 1438–1464. 25 indexed citations

16.

Carberry, Steven, Margit Zweyer, Dieter Swandulla, & Kay Ohlendieck. (2012). Proteomics reveals drastic increase of extracellular matrix proteins collagen and dermatopontin in the aged mdx diaphragm model of Duchenne muscular dystrophy. International Journal of Molecular Medicine. 30(2). 229–234. 49 indexed citations

17.

Carberry, Steven, Margit Zweyer, Dieter Swandulla, & Kay Ohlendieck. (2012). Profiling of Age-Related Changes in theTibialis AnteriorMuscle Proteome of the mdx Mouse Model of Dystrophinopathy. SHILAP Revista de lepidopterología. 2012. 1–11. 22 indexed citations

18.

Lewis, Caroline A., Steven Carberry, & Kay Ohlendieck. (2009). Proteomic profiling of x-linked muscular dystrophy. Journal of Muscle Research and Cell Motility. 30(7-8). 267–279. 31 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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