Susan Corley

620 total citations
21 papers, 428 citations indexed

About

Susan Corley is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Susan Corley has authored 21 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Oncology. Recurrent topics in Susan Corley's work include Corneal Surgery and Treatments (3 papers), Corneal surgery and disorders (3 papers) and RNA Research and Splicing (3 papers). Susan Corley is often cited by papers focused on Corneal Surgery and Treatments (3 papers), Corneal surgery and disorders (3 papers) and RNA Research and Splicing (3 papers). Susan Corley collaborates with scholars based in Australia, United States and South Africa. Susan Corley's co-authors include Marc R. Wilkins, Jill E. Gready, Annemiek Beverdam, Anthony Bosco, Niamh Troy, Cynthia Shannon Weickert, Jingjing You, Chris Hodge, Gerard Sutton and Wen Li and has published in prestigious journals such as PLoS ONE, Scientific Reports and BMC Genomics.

In The Last Decade

Susan Corley

20 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susan Corley Australia 11 230 60 59 55 48 21 428
Junfang Zhang China 10 145 0.6× 59 1.0× 35 0.6× 49 0.9× 23 0.5× 20 480
Alexey V. Deykin Russia 15 376 1.6× 141 2.4× 78 1.3× 52 0.9× 24 0.5× 61 668
Wanyu Zhang China 11 131 0.6× 22 0.4× 32 0.5× 50 0.9× 57 1.2× 46 434
Kemian Gou China 12 211 0.9× 74 1.2× 32 0.5× 28 0.5× 10 0.2× 37 398
Shashank Pandey India 11 126 0.5× 52 0.9× 35 0.6× 19 0.3× 27 0.6× 28 346
Márton Doleschall Hungary 12 140 0.6× 81 1.4× 41 0.7× 55 1.0× 30 0.6× 25 503
Paula Persson Denmark 11 197 0.9× 68 1.1× 56 0.9× 16 0.3× 28 0.6× 15 620
Elizabeth A. Berger United States 14 163 0.7× 19 0.3× 22 0.4× 150 2.7× 64 1.3× 35 471
Hwi-Cheul Lee South Korea 12 124 0.5× 87 1.4× 41 0.7× 26 0.5× 16 0.3× 33 365
D. Greg Hall United States 11 299 1.3× 32 0.5× 29 0.5× 32 0.6× 21 0.4× 14 498

Countries citing papers authored by Susan Corley

Since Specialization
Citations

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

Fields of papers citing papers by Susan Corley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan Corley

This figure shows the co-authorship network connecting the top 25 collaborators of Susan Corley. A scholar is included among the top collaborators of Susan Corley 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 Susan Corley. Susan Corley 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
2.
Hargett, Stefan R., Sujoy Lahiri, Greg M. Kowalski, et al.. (2024). Bile acids mediate fructose-associated liver tumour growth in mice. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(4). 167029–167029. 3 indexed citations
3.
Li, Yue, Ben J. Wu, Md Jakir Hossain, et al.. (2023). Flubendazole inhibits PD-1 and suppresses melanoma growth in immunocompetent mice. Journal of Translational Medicine. 21(1). 467–467. 5 indexed citations
4.
Youngson, Neil A., Susan Corley, Justin C. St. John, et al.. (2022). Ancestral dietary change alters the development of Drosophila larvae through MAPK signalling. Fly. 16(1). 298–310. 4 indexed citations
5.
Bell, Kirstine J., Sonia Saad, Bree J. Tillett, et al.. (2022). Metabolite-based dietary supplementation in human type 1 diabetes is associated with microbiota and immune modulation. Microbiome. 10(1). 9–9. 84 indexed citations
6.
You, Jingjing, Susan Corley, Wen Li, et al.. (2021). Author Correction: RNA-Seq analysis and comparison of corneal epithelium in keratoconus and myopia patients. Scientific Reports. 11(1). 19840–19840. 1 indexed citations
7.
Pang, Tony, Zhihong Xu, Srinivasa Pothula, et al.. (2021). HGF/c-Met Inhibition as Adjuvant Therapy Improves Outcomes in an Orthotopic Mouse Model of Pancreatic Cancer. Cancers. 13(11). 2763–2763. 9 indexed citations
8.
Corley, Susan, Niamh Troy, Anthony Bosco, & Marc R. Wilkins. (2019). QuantSeq. 3′ Sequencing combined with Salmon provides a fast, reliable approach for high throughput RNA expression analysis. Scientific Reports. 9(1). 18895–18895. 40 indexed citations
9.
Bertoldo, Michael J., David Agapiou, Susan Corley, et al.. (2019). Non-canonical cyclic AMP SMAD1/5/8 signalling in human granulosa cells. Molecular and Cellular Endocrinology. 490. 37–46. 8 indexed citations
10.
Corley, Susan, Nichole Giles, Emma S. Singer, et al.. (2018). Plau and Tgfbr3 are YAP-regulated genes that promote keratinocyte proliferation. Cell Death and Disease. 9(11). 1106–1106. 27 indexed citations
11.
You, Jingjing, Susan Corley, Wen Li, et al.. (2018). RNA-Seq analysis and comparison of corneal epithelium in keratoconus and myopia patients. Scientific Reports. 8(1). 389–389. 57 indexed citations
12.
Alshekaili, Jalila, Rochna Chand, Susan Corley, et al.. (2018). STAT3 regulates cytotoxicity of human CD57+ CD4+ T cells in blood and lymphoid follicles. Scientific Reports. 8(1). 3529–3529. 24 indexed citations
13.
Corley, Susan, Karen L. MacKenzie, Annemiek Beverdam, Louise F. Roddam, & Marc R. Wilkins. (2017). Differentially expressed genes from RNA-Seq and functional enrichment results are affected by the choice of single-end versus paired-end reads and stranded versus non-stranded protocols. BMC Genomics. 18(1). 399–399. 27 indexed citations
14.
Catts, Vibeke S., et al.. (2017). Nuclear Receptors and Neuroinflammation in Schizophrenia. PubMed. 3(4). 181–191. 13 indexed citations
15.
Watson‐Haigh, Nathan S., Jerico Revote, Radosław Suchecki, et al.. (2016). Towards an open, collaborative, reusable framework for sharing hands-on bioinformatics training workshops. Briefings in Bioinformatics. 18(2). bbw013–bbw013. 4 indexed citations
17.
Corley, Susan, César P. Canales, Paulina Carmona-Mora, et al.. (2016). RNA-Seq analysis of Gtf2ird1 knockout epidermal tissue provides potential insights into molecular mechanisms underpinning Williams-Beuren syndrome. BMC Genomics. 17(1). 450–450. 9 indexed citations
18.
Nahidi, Lily, Susan Corley, Marc R. Wilkins, et al.. (2015). The major pathway by which polymeric formula reduces inflammation in intestinal epithelial cells: a microarray-based analysis. Genes & Nutrition. 10(5). 479–479. 15 indexed citations
19.
Fung, David C. Y., Susan Corley, Nicholas L. Bentley, et al.. (2015). Cardiac and skeletal muscles show molecularly distinct responses to cancer cachexia. Physiological Genomics. 47(12). 588–599. 32 indexed citations
20.
Corley, Susan & Jill E. Gready. (2008). Identification of the RGG Box Motif in Shadoo: RNA-Binding and Signaling Roles?. Bioinformatics and Biology Insights. 2. BBI.S1075–BBI.S1075. 30 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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