Dana M. Cairns

1.7k total citations
37 papers, 1.3k citations indexed

About

Dana M. Cairns is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biomaterials. According to data from OpenAlex, Dana M. Cairns has authored 37 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 9 papers in Biomaterials. Recurrent topics in Dana M. Cairns's work include Silk-based biomaterials and applications (9 papers), 3D Printing in Biomedical Research (6 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Dana M. Cairns is often cited by papers focused on Silk-based biomaterials and applications (9 papers), 3D Printing in Biomedical Research (6 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Dana M. Cairns collaborates with scholars based in United States, United Kingdom and China. Dana M. Cairns's co-authors include David L. Kaplan, Rosalyn D. Abbott, Rachael N. Parker, Lee Gehrke, Li Zeng, Nicolas Rouleau, Ruth F. Itzhaki, Zaira Martín‐Moldes, Erica P. Kimmerling and Anne Valat and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Dana M. Cairns

36 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dana M. Cairns United States 21 451 382 292 169 159 37 1.3k
Brian Lin United States 22 371 0.8× 466 1.2× 292 1.0× 145 0.9× 84 0.5× 37 1.7k
Linlin Wang China 23 351 0.8× 871 2.3× 184 0.6× 250 1.5× 170 1.1× 78 1.9k
Kenta Maruyama Japan 21 244 0.5× 804 2.1× 195 0.7× 200 1.2× 213 1.3× 40 2.1k
Young‐Kwon Seo South Korea 29 591 1.3× 540 1.4× 406 1.4× 503 3.0× 173 1.1× 121 2.3k
Alena Zajı́cová Czechia 25 194 0.4× 346 0.9× 276 0.9× 230 1.4× 100 0.6× 75 1.8k
Rafieh Alizadeh Iran 24 571 1.3× 295 0.8× 396 1.4× 226 1.3× 43 0.3× 62 1.8k
Takafumi Ninomiya Japan 21 374 0.8× 612 1.6× 205 0.7× 156 0.9× 159 1.0× 62 1.8k
Zbigniew Rybak Poland 15 377 0.8× 591 1.5× 180 0.6× 354 2.1× 132 0.8× 73 1.7k
Theo Hafmans Netherlands 26 441 1.0× 683 1.8× 724 2.5× 369 2.2× 148 0.9× 66 2.3k
Jana Zárubová Czechia 17 222 0.5× 273 0.7× 166 0.6× 188 1.1× 72 0.5× 32 1.1k

Countries citing papers authored by Dana M. Cairns

Since Specialization
Citations

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

Fields of papers citing papers by Dana M. Cairns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana M. Cairns. 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 Dana M. Cairns. The network helps show where Dana M. Cairns may publish in the future.

Co-authorship network of co-authors of Dana M. Cairns

This figure shows the co-authorship network connecting the top 25 collaborators of Dana M. Cairns. A scholar is included among the top collaborators of Dana M. Cairns 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 Dana M. Cairns. Dana M. Cairns 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
1.
Hewelt-Belka, Weronika, Dana M. Cairns, Selina Pasquero, et al.. (2025). The impact of fatty acid synthase on HSV-1 infection dynamics. PLoS Pathogens. 21(5). e1013068–e1013068.
2.
Mullis, Adam S., et al.. (2022). Screening neuroprotective compounds in herpes-induced Alzheimer's disease cell and 3D tissue models. Free Radical Biology and Medicine. 186. 76–92. 7 indexed citations
3.
Fitzpatrick, Vincent, Zaira Martín‐Moldes, Anna Deck, et al.. (2021). Functionalized 3D-printed silk-hydroxyapatite scaffolds for enhanced bone regeneration with innervation and vascularization. Biomaterials. 276. 120995–120995. 160 indexed citations
4.
Ju, Jie, Ning Hu, Dana M. Cairns, Haitao Liu, & Brian P. Timko. (2020). Photo–cross-linkable, insulating silk fibroin for bioelectronics with enhanced cell affinity. Proceedings of the National Academy of Sciences. 117(27). 15482–15489. 33 indexed citations
5.
Sood, Disha, Dana M. Cairns, Charu Ramakrishnan, et al.. (2019). Functional maturation of human neural stem cells in a 3D bioengineered brain model enriched with fetal brain-derived matrix. Scientific Reports. 9(1). 54 indexed citations
6.
Chen, Ying, et al.. (2019). Bioengineered in vitro enteric nervous system. Journal of Tissue Engineering and Regenerative Medicine. 13(9). 1712–1723. 18 indexed citations
7.
McKay, Tina B., Andrew Ford, Siran Wang, et al.. (2019). Assembly and Application of a Three‐Dimensional Human Corneal Tissue Model. Current Protocols in Toxicology. 81(1). e84–e84. 10 indexed citations
8.
Grasman, Jonathan M., et al.. (2019). Hyperosmolar Potassium Inhibits Myofibroblast Conversion and Reduces Scar Tissue Formation. ACS Biomaterials Science & Engineering. 5(10). 5327–5336. 10 indexed citations
9.
Dixon, T. A., Dana M. Cairns, María José Gómez-Rodríguez, et al.. (2018). Bioinspired Three-Dimensional Human Neuromuscular Junction Development in Suspended Hydrogel Arrays. Tissue Engineering Part C Methods. 24(6). 346–359. 38 indexed citations
10.
11.
McKay, Tina B., Yashar Seyed‐Razavi, Chiara E. Ghezzi, et al.. (2018). Corneal pain and experimental model development. Progress in Retinal and Eye Research. 71. 88–113. 38 indexed citations
12.
13.
Kwon, Heenam, Lin Sun, Dana M. Cairns, et al.. (2014). Scaffold structure and fabrication method affect proinflammatory milieu in three‐dimensional‐cultured chondrocytes. Journal of Biomedical Materials Research Part A. 103(2). 534–544. 7 indexed citations
14.
Cairns, Dana M., Robert J. Pignolo, Tomoya Uchimura, et al.. (2013). Somitic disruption of GNAS in chick embryos mimics progressive osseous heteroplasia. Journal of Clinical Investigation. 123(8). 3624–3633. 26 indexed citations
15.
Kwon, Heenam, Lin Sun, Dana M. Cairns, et al.. (2013). The influence of scaffold material on chondrocytes under inflammatory conditions. Acta Biomaterialia. 9(5). 6563–6575. 34 indexed citations
16.
Cairns, Dana M., Robert J. Pignolo, Tomoya Uchimura, et al.. (2013). Somitic disruption of GNAS in chick embryos mimics progressive osseous heteroplasia. Journal of Clinical Investigation. 123(11). 4981–4981. 2 indexed citations
17.
Cairns, Dana M., Renjing Liu, James P. Canner, et al.. (2012). Interplay of Nkx3.2, Sox9 and Pax3 Regulates Chondrogenic Differentiation of Muscle Progenitor Cells. PLoS ONE. 7(7). e39642–e39642. 34 indexed citations
18.
Cairns, Dana M., et al.. (2010). Muscle cells enhance resistance to pro-inflammatory cytokine-induced cartilage destruction. Biochemical and Biophysical Research Communications. 392(1). 22–28. 20 indexed citations
19.
Morgan, Jessica I. W., Dana M. Cairns, & Edward N. Pugh. (2009). Bleaching-Induced Changes in Autofluorescence and Measurement of Rhodopsin With a Scanning Laser Ophthalmoscope. Investigative Ophthalmology & Visual Science. 50(13). 5169–5169. 1 indexed citations
20.
Cairns, Dana M., et al.. (2008). A gradient of Shh establishes mutually repressing somitic cell fates induced by Nkx3.2 and Pax3. Developmental Biology. 323(2). 152–165. 39 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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