Deborah Finlay

3.7k total citations · 2 hit papers
18 papers, 3.1k citations indexed

About

Deborah Finlay is a scholar working on Molecular Biology, Dermatology and Cell Biology. According to data from OpenAlex, Deborah Finlay has authored 18 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Dermatology and 5 papers in Cell Biology. Recurrent topics in Deborah Finlay's work include Nuclear Structure and Function (4 papers), Skin Protection and Aging (4 papers) and Skin and Cellular Biology Research (3 papers). Deborah Finlay is often cited by papers focused on Nuclear Structure and Function (4 papers), Skin Protection and Aging (4 papers) and Skin and Cellular Biology Research (3 papers). Deborah Finlay collaborates with scholars based in United States, United Kingdom and Hong Kong. Deborah Finlay's co-authors include Douglass J. Forbes, Donald D. Newmeyer, Toby Price, Xiaowu Liang, Emanuel Yakobson, Gary S. Ditta, Donald G. Guiney, Donald R. Helinski, Thomas J. Schmidhauser and Nicolai S. C. van Oers and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Deborah Finlay

18 papers receiving 3.0k citations

Hit Papers

Plasmids related to the broad host range vector, pRK290, ... 1985 2026 1998 2012 1985 1987 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deborah Finlay United States 16 1.8k 456 449 362 354 18 3.1k
Yoram Milner Israel 29 737 0.4× 319 0.7× 251 0.6× 686 1.9× 301 0.9× 74 2.6k
Arumugam Jayakumar United States 29 1.3k 0.7× 597 1.3× 298 0.7× 140 0.4× 267 0.8× 66 2.8k
Tomoo Ogi Japan 32 4.2k 2.4× 358 0.8× 280 0.6× 230 0.6× 1.2k 3.4× 123 5.3k
Cornelius Welter Germany 26 1.5k 0.8× 161 0.4× 192 0.4× 380 1.0× 400 1.1× 82 2.5k
Yoko Itō Japan 33 2.3k 1.3× 453 1.0× 342 0.8× 153 0.4× 576 1.6× 89 3.7k
Mireille Van Gele Belgium 33 1.1k 0.6× 328 0.7× 490 1.1× 131 0.4× 222 0.6× 65 2.7k
Yaron Fuchs Israel 22 2.1k 1.2× 502 1.1× 624 1.4× 117 0.3× 124 0.4× 41 3.4k
Sophie Torrekens Belgium 29 2.7k 1.6× 224 0.5× 370 0.8× 329 0.9× 393 1.1× 53 4.7k
Jian Liao China 28 1.7k 0.9× 1.2k 2.7× 176 0.4× 96 0.3× 315 0.9× 62 3.0k
Hugh D. Campbell Australia 27 1.2k 0.7× 350 0.8× 724 1.6× 51 0.1× 346 1.0× 43 2.5k

Countries citing papers authored by Deborah Finlay

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Finlay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deborah Finlay

This figure shows the co-authorship network connecting the top 25 collaborators of Deborah Finlay. A scholar is included among the top collaborators of Deborah Finlay 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 Deborah Finlay. Deborah Finlay 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.
Zhou, Linli, Wei Ji, Teresa DiColandrea, et al.. (2023). An improved human skin explant culture method for testing and assessing personal care products. Journal of Cosmetic Dermatology. 22(5). 1585–1594. 12 indexed citations
2.
Sherrill, Joseph D., Deborah Finlay, Robert L. Binder, et al.. (2021). Transcriptomic analysis of human skin wound healing and rejuvenation following ablative fractional laser treatment. PLoS ONE. 16(11). e0260095–e0260095. 16 indexed citations
3.
Osborne, Rosemarie, et al.. (2013). Practical application of cellular bioenergetics to the care of aged skin. British Journal of Dermatology. 169. 32–38. 7 indexed citations
4.
Osborne, Rosemarie, et al.. (2012). Application of genomics to breakthroughs in the cosmetic treatment of skin ageing and discoloration. British Journal of Dermatology. 166. 16–19. 17 indexed citations
5.
Albrecht, Phillip J., Elon Eisenberg, Dorit Pud, et al.. (2006). Pathologic alterations of cutaneous innervation and vasculature in affected limbs from patients with complex regional pain syndrome. Pain. 120(3). 244–266. 206 indexed citations
6.
Whitfield, Michael L., Deborah Finlay, John I. Murray, et al.. (2003). Systemic and cell type-specific gene expression patterns in scleroderma skin. Proceedings of the National Academy of Sciences. 100(21). 12319–12324. 324 indexed citations
7.
Chen, Mei, Noriyuki Kasahara, Douglas R. Keene, et al.. (2002). Restoration of type VII collagen expression and function in dystrophic epidermolysis bullosa. Nature Genetics. 32(4). 670–675. 144 indexed citations
8.
Leask, Andrew, David Abraham, Deborah Finlay, et al.. (2002). Dysregulation of transforming growth factor β signaling in scleroderma: Overexpression of endoglin in cutaneous scleroderma fibroblasts. Arthritis & Rheumatism. 46(7). 1857–1865. 94 indexed citations
9.
Kadlecek, Theresa A., Nicolai S. C. van Oers, Leo Lefrançois, et al.. (1998). Differential Requirements for ZAP-70 in TCR Signaling and T Cell Development. The Journal of Immunology. 161(9). 4688–4694. 109 indexed citations
10.
Rowbotham, Michael C., et al.. (1996). Cutaneous Innervation Density in the Allodynic Form of Postherpetic Neuralgia. Neurobiology of Disease. 3(3). 205–214. 129 indexed citations
11.
Oers, Nicolai S. C. van, et al.. (1996). αβ T Cell Development Is Abolished in Mice Lacking Both Lck and Fyn Protein Tyrosine Kinases. Immunity. 5(5). 429–436. 261 indexed citations
12.
Finlay, Deborah, et al.. (1991). A complex of nuclear pore proteins required for pore function.. The Journal of Cell Biology. 114(1). 169–183. 207 indexed citations
13.
Finlay, Deborah & Douglass J. Forbes. (1990). Reconstitution of biochemically altered nuclear pores: Transport can be eliminated and restored. Cell. 60(1). 17–29. 202 indexed citations
14.
Finlay, Deborah, et al.. (1989). Nuclear transport in vitro. Journal of Cell Science. 1989(Supplement_11). 225–242. 16 indexed citations
15.
Finlay, Deborah, Donald D. Newmeyer, Toby Price, & Douglass J. Forbes. (1987). Inhibition of in vitro nuclear transport by a lectin that binds to nuclear pores.. The Journal of Cell Biology. 104(2). 189–200. 449 indexed citations breakdown →
16.
Newmeyer, Donald D., Deborah Finlay, & Douglass J. Forbes. (1986). In vitro transport of a fluorescent nuclear protein and exclusion of non-nuclear proteins.. The Journal of Cell Biology. 103(6). 2091–2102. 185 indexed citations
17.
Ditta, Gary S., Thomas J. Schmidhauser, Emanuel Yakobson, et al.. (1985). Plasmids related to the broad host range vector, pRK290, useful for gene cloning and for monitoring gene expression. Plasmid. 13(2). 149–153. 711 indexed citations breakdown →
18.
Jacobson, Gary R., et al.. (1983). The intramembrane topography of the mannitol-specific enzyme II of the Escherichia coli phosphotransferase system.. Journal of Biological Chemistry. 258(5). 2955–2959. 26 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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