Debra F. Higgins

2.7k total citations · 1 hit paper
18 papers, 2.3k citations indexed

About

Debra F. Higgins is a scholar working on Molecular Biology, Cancer Research and Nephrology. According to data from OpenAlex, Debra F. Higgins has authored 18 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Nephrology. Recurrent topics in Debra F. Higgins's work include Cancer, Hypoxia, and Metabolism (7 papers), Renal and related cancers (4 papers) and Connective Tissue Growth Factor Research (3 papers). Debra F. Higgins is often cited by papers focused on Cancer, Hypoxia, and Metabolism (7 papers), Renal and related cancers (4 papers) and Connective Tissue Growth Factor Research (3 papers). Debra F. Higgins collaborates with scholars based in Ireland, United States and United Kingdom. Debra F. Higgins's co-authors include Volker H. Haase, Randall S. Johnson, Yasuhiro Akai, Kuniko Kimura, Masayuki Iwano, Matthias Kretzler, Yoshihiko Saito, Kai-Uwe Eckardt, Wanja M. Bernhardt and Bernd Hohenstein and has published in prestigious journals such as Journal of Clinical Investigation, Molecular and Cellular Biology and Development.

In The Last Decade

Debra F. Higgins

18 papers receiving 2.3k citations

Hit Papers

Hypoxia promotes fibrogen... 2007 2026 2013 2019 2007 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debra F. Higgins Ireland 16 1.1k 771 430 373 243 18 2.3k
Bernd Klanke Germany 25 692 0.6× 412 0.5× 322 0.7× 213 0.6× 179 0.7× 40 1.7k
Wanja M. Bernhardt Germany 23 1.2k 1.1× 1.3k 1.6× 504 1.2× 350 0.9× 311 1.3× 37 2.9k
Samir S. El‐Dahr United States 33 1.7k 1.6× 185 0.2× 332 0.8× 542 1.5× 169 0.7× 127 3.2k
Gunnar Schley Germany 25 937 0.9× 370 0.5× 242 0.6× 274 0.7× 106 0.4× 66 1.8k
Shiren Sun China 27 2.0k 1.8× 1.5k 1.9× 356 0.8× 298 0.8× 246 1.0× 49 3.0k
Ri‐Ning Tang China 24 1.5k 1.3× 560 0.7× 755 1.8× 235 0.6× 253 1.0× 70 2.4k
Rohan Samarakoon United States 28 1.2k 1.1× 490 0.6× 404 0.9× 366 1.0× 194 0.8× 47 2.4k
Hyun Mi Kang South Korea 14 1.2k 1.1× 265 0.3× 822 1.9× 220 0.6× 493 2.0× 35 2.7k
Bo Young Nam South Korea 20 528 0.5× 259 0.3× 548 1.3× 268 0.7× 182 0.7× 34 1.3k
Shotaro Naito Japan 24 896 0.8× 370 0.5× 271 0.6× 456 1.2× 302 1.2× 82 2.1k

Countries citing papers authored by Debra F. Higgins

Since Specialization
Citations

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

Fields of papers citing papers by Debra F. Higgins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debra F. Higgins. 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 Debra F. Higgins. The network helps show where Debra F. Higgins may publish in the future.

Co-authorship network of co-authors of Debra F. Higgins

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

All Works

18 of 18 papers shown
1.
Krzyzanowska, Agnieszka, Stephen Barron, Debra F. Higgins, et al.. (2023). Development, Validation, and Clinical Utility of a Six-gene Signature to Predict Aggressive Prostate Cancer. European Urology Focus. 9(6). 983–991. 1 indexed citations
2.
Higgins, Debra F., Claudia Mazo, William Watson, et al.. (2021). Future of biomarker evaluation in the realm of artificial intelligence algorithms: application in improved therapeutic stratification of patients with breast and prostate cancer. Journal of Clinical Pathology. 74(7). 429–434. 27 indexed citations
3.
Griffin, Brenda Walker, et al.. (2017). Profibrotic IHG-1 complexes with renal disease associated HSPA5 and TRAP1 in mitochondria. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1863(4). 896–906. 12 indexed citations
4.
Higgins, Debra F., et al.. (2017). BMP7-induced-Pten inhibits Akt and prevents renal fibrosis. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1863(12). 3095–3104. 57 indexed citations
5.
Andrews, Darrell, Martin Parsons, Mary Murphy, et al.. (2016). Wnt6 regulates epithelial cell differentiation and is dysregulated in renal fibrosis. American Journal of Physiology-Renal Physiology. 311(1). F35–F45. 24 indexed citations
6.
Scully, Deirdre, et al.. (2016). Hypoxia promotes production of neural crest cells in the embryonic head. Development. 143(10). 1742–1752. 33 indexed citations
7.
Griffin, Brenda Walker, Emma Börgeson, Fionnuala B. Hickey, et al.. (2013). IHG-1 must be localised to mitochondria to decrease Smad7 expression and amplify TGF-β1-induced fibrotic responses. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1833(8). 1969–1978. 17 indexed citations
8.
Brennan, Eoin, Karen A. Nolan, Emma Börgeson, et al.. (2013). Lipoxins Attenuate Renal Fibrosis by Inducing let-7c and Suppressing TGFβR1. Journal of the American Society of Nephrology. 24(4). 627–637. 138 indexed citations
9.
Börgeson, Emma, Fiona C. McGillicuddy, Karen A. Harford, et al.. (2012). Lipoxin A 4 attenuates adipose inflammation. The FASEB Journal. 26(10). 4287–4294. 88 indexed citations
10.
Börgeson, Emma, Neil G. Docherty, Madeline Murphy, et al.. (2011). Lipoxin A 4 and benzo‐lipoxin A 4 attenuate experimental renal fibrosis. The FASEB Journal. 25(9). 2967–2979. 94 indexed citations
11.
Kimura, Kuniko, Masayuki Iwano, Debra F. Higgins, et al.. (2008). Stable expression of HIF-1α in tubular epithelial cells promotes interstitial fibrosis. American Journal of Physiology-Renal Physiology. 295(4). F1023–F1029. 228 indexed citations
12.
Higgins, Debra F., Kuniko Kimura, Masayuki Iwano, & Volker H. Haase. (2008). Hypoxia-inducible factor signaling in the development of tissue fibrosis. Cell Cycle. 7(9). 1128–1132. 157 indexed citations
13.
Higgins, Debra F., Kuniko Kimura, Wanja M. Bernhardt, et al.. (2007). Hypoxia promotes fibrogenesis in vivo via HIF-1 stimulation of epithelial-to-mesenchymal transition. Journal of Clinical Investigation. 117(12). 3810–20. 828 indexed citations breakdown →
14.
Rankin, Erinn B., Debra F. Higgins, Jacqueline A. Walisser, et al.. (2005). Inactivation of the Arylhydrocarbon Receptor Nuclear Translocator (Arnt) Suppresses von Hippel-Lindau Disease-Associated Vascular Tumors in Mice. Molecular and Cellular Biology. 25(8). 3163–3172. 122 indexed citations
15.
Higgins, Debra F., Mangatt P. Biju, Yasuhiro Akai, et al.. (2004). Hypoxic induction ofCtgfis directly mediated by Hif-1. American Journal of Physiology-Renal Physiology. 287(6). F1223–F1232. 238 indexed citations
16.
Power, Richard, et al.. (2004). Mechanical Deformation Induced Apoptosis in Human Proximal Renal Tubular Epithelial Cells is Caspase Dependent. The Journal of Urology. 171(1). 457–461. 36 indexed citations
17.
Kieran, Niamh E., Peter Doran, Susan Connolly, et al.. (2003). Modification of the transcriptomic response to renal ischemia/reperfusion injury by lipoxin analog. Kidney International. 64(2). 480–492. 129 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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