Elisa D’Arcangelo

623 total citations
14 papers, 446 citations indexed

About

Elisa D’Arcangelo is a scholar working on Oncology, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Elisa D’Arcangelo has authored 14 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 7 papers in Biomedical Engineering and 5 papers in Molecular Biology. Recurrent topics in Elisa D’Arcangelo's work include Cancer Cells and Metastasis (9 papers), 3D Printing in Biomedical Research (7 papers) and Cellular Mechanics and Interactions (3 papers). Elisa D’Arcangelo is often cited by papers focused on Cancer Cells and Metastasis (9 papers), 3D Printing in Biomedical Research (7 papers) and Cellular Mechanics and Interactions (3 papers). Elisa D’Arcangelo collaborates with scholars based in Canada, United States and Japan. Elisa D’Arcangelo's co-authors include Alison P. McGuigan, Ming‐Sound Tsao, Ku-Geng Huo, Laurie Ailles, Bin Xu, Thomas K. Waddell, Golnaz Karoubi, John P. Soleas, M. Cristina Nostro and Nhu‐An Pham and has published in prestigious journals such as Biomaterials, Cancer Research and British Journal of Cancer.

In The Last Decade

Elisa D’Arcangelo

13 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elisa D’Arcangelo Canada	9	206	199	168	84	76	14	446
Eric N. Horst United States	9	253 1.2×	235 1.2×	142 0.8×	73 0.9×	150 2.0×	15	495
Alyssa D. Schwartz United States	8	182 0.9×	122 0.6×	161 1.0×	102 1.2×	105 1.4×	10	397
Marlene Pickl Switzerland	6	241 1.2×	172 0.9×	130 0.8×	48 0.6×	71 0.9×	9	396
Joanna N. Skhinas Australia	8	117 0.6×	80 0.4×	139 0.8×	69 0.8×	62 0.8×	9	345
Reeti Behera United States	7	175 0.8×	87 0.4×	227 1.4×	97 1.2×	125 1.6×	10	571
Chi-Ping Day United States	6	253 1.2×	135 0.7×	243 1.4×	110 1.3×	37 0.5×	6	582
Brian C. H. Cheung United States	7	236 1.1×	171 0.9×	135 0.8×	71 0.8×	225 3.0×	9	474
Allison P. Drain United States	5	311 1.5×	135 0.7×	205 1.2×	127 1.5×	198 2.6×	5	624
Samantha C. Schwager United States	13	131 0.6×	109 0.5×	227 1.4×	130 1.5×	144 1.9×	19	489
Maria Louca Cyprus	10	123 0.6×	104 0.5×	138 0.8×	50 0.6×	77 1.0×	13	362

Countries citing papers authored by Elisa D’Arcangelo

Since Specialization

Citations

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

Fields of papers citing papers by Elisa D’Arcangelo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elisa D’Arcangelo. 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 Elisa D’Arcangelo. The network helps show where Elisa D’Arcangelo may publish in the future.

Co-authorship network of co-authors of Elisa D’Arcangelo

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

All Works

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14 of 14 papers shown

Quevedo, Rene, Kebria Hezaveh, Haijiao Liu, et al.. (2024). The use of a multi-metric readout screen to identify EHMT2/G9a-inhibition as a modulator of cancer-associated fibroblast activation state. Biomaterials. 314. 122879–122879.

Park, Cheol‐Kyu, Roya Navab, Elisa D’Arcangelo, et al.. (2024). Abstract 217: Establishment of a spatially defined co-culture model of non-small cell lung cancer organoids and cancer-associated fibroblasts to investigate phenotypic heterogeneity. Cancer Research. 84(6_Supplement). 217–217. 1 indexed citations

Moghal, Nadeem, Quan Li, Erin Stewart, et al.. (2022). Single-Cell Analysis Reveals Transcriptomic Features of Drug-Tolerant Persisters and Stromal Adaptation in a Patient-Derived EGFR-Mutated Lung Adenocarcinoma Xenograft Model. Journal of Thoracic Oncology. 18(4). 499–515. 32 indexed citations

Soleas, John P., Elisa D’Arcangelo, M. Cristina Nostro, et al.. (2021). Guided Self-Assembly of ES-Derived Lung Progenitors into Biomimetic Tube Structures That Impact Cell Differentiation. Bioengineering. 8(12). 209–209. 1 indexed citations

Soleas, John P., Elisa D’Arcangelo, Golnaz Karoubi, et al.. (2020). Assembly of lung progenitors into developmentally-inspired geometry drives differentiation via cellular tension. Biomaterials. 254. 120128–120128. 40 indexed citations

D’Arcangelo, Elisa, et al.. (2020). The life cycle of cancer-associated fibroblasts within the tumour stroma and its importance in disease outcome. British Journal of Cancer. 122(7). 931–942. 86 indexed citations

Huo, Ku-Geng, Elisa D’Arcangelo, & Ming‐Sound Tsao. (2020). Patient-derived cell line, xenograft and organoid models in lung cancer therapy. Translational Lung Cancer Research. 9(5). 2214–2232. 67 indexed citations

D’Arcangelo, Elisa, et al.. (2019). Gels for Live Analysis of Compartmentalized Environments (GLAnCE): A tissue model to probe tumour phenotypes at tumour-stroma interfaces. Biomaterials. 228. 119572–119572. 8 indexed citations

D’Arcangelo, Elisa, et al.. (2018). A TRACER 3D Co-Culture tumour model for head and neck cancer. Biomaterials. 164. 54–69. 51 indexed citations

10.

D’Arcangelo, Elisa, et al.. (2018). The Current Landscape of 3D In Vitro Tumor Models: What Cancer Hallmarks Are Accessible for Drug Discovery?. Advanced Healthcare Materials. 7(8). e1701174–e1701174. 67 indexed citations

11.

Woolman, Michael, Alessandra Tata, Jalna Meens, et al.. (2017). Rapid determination of the tumour stroma ratio in squamous cell carcinomas with desorption electrospray ionization mass spectrometry (DESI-MS): a proof-of-concept demonstration. The Analyst. 142(17). 3250–3260. 13 indexed citations

12.

D’Arcangelo, Elisa, et al.. (2017). Modulation of cellular polarization and migration by ephrin/Eph signal-mediated boundary formation. Integrative Biology. 9(12). 934–946. 3 indexed citations

13.

D’Arcangelo, Elisa & Alison P. McGuigan. (2015). Micropatterning Strategies to Engineer Controlled Cell and Tissue Architecture in Vitro. BioTechniques. 58(1). 13–23. 69 indexed citations

14.

D’Arcangelo, Elisa, et al.. (2015). An in vitro model of tissue boundary formation for dissecting the contribution of different boundary forming mechanisms. Integrative Biology. 7(3). 298–312. 8 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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