Darlene Romashko

404 total citations
9 papers, 303 citations indexed

About

Darlene Romashko is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Darlene Romashko has authored 9 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Oncology. Recurrent topics in Darlene Romashko's work include Signaling Pathways in Disease (2 papers), Fibroblast Growth Factor Research (2 papers) and Bladder and Urothelial Cancer Treatments (2 papers). Darlene Romashko is often cited by papers focused on Signaling Pathways in Disease (2 papers), Fibroblast Growth Factor Research (2 papers) and Bladder and Urothelial Cancer Treatments (2 papers). Darlene Romashko collaborates with scholars based in United States. Darlene Romashko's co-authors include Jennifer Stanley, Rusiko Bourtchouladze, Rod Scott, Tim Tully, Earl W. May, Andrew P. Crew, Suzanne Russo, Jing Wang, Lee D. Arnold and Matthew O’Connor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cancer Research.

In The Last Decade

Darlene Romashko

8 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darlene Romashko United States 5 227 90 67 63 57 9 303
Hendrik Urbanke Germany 4 255 1.1× 103 1.1× 25 0.4× 43 0.7× 16 0.3× 5 320
Rocío Romero‐Granados Spain 8 376 1.7× 53 0.6× 29 0.4× 119 1.9× 55 1.0× 10 490
Gillian Seaton United Kingdom 9 248 1.1× 50 0.6× 14 0.2× 101 1.6× 38 0.7× 11 431
Qian Bu China 12 208 0.9× 69 0.8× 20 0.3× 49 0.8× 33 0.6× 19 319
Shalini Persaud United States 5 284 1.3× 149 1.7× 18 0.3× 48 0.8× 48 0.8× 6 421
Zachary Flood United States 4 258 1.1× 65 0.7× 19 0.3× 56 0.9× 38 0.7× 5 335
Patrik Hollós Finland 8 169 0.7× 60 0.7× 16 0.2× 86 1.4× 23 0.4× 9 339
Wendy Wenderski United States 7 264 1.2× 50 0.6× 23 0.3× 44 0.7× 19 0.3× 9 340
Ruomu Gong China 6 219 1.0× 35 0.4× 23 0.3× 161 2.6× 39 0.7× 9 345
Monica Salani United States 9 159 0.7× 41 0.5× 64 1.0× 98 1.6× 26 0.5× 14 273

Countries citing papers authored by Darlene Romashko

Since Specialization
Citations

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

Fields of papers citing papers by Darlene Romashko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darlene Romashko

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

All Works

9 of 9 papers shown
1.
Ishiyama, Noboru, Matthew O’Connor, Andrei Salomatov, et al.. (2022). Computational and Functional Analyses of HER2 Mutations Reveal Allosteric Activation Mechanisms and Altered Pharmacologic Effects. Cancer Research. 83(9). 1531–1542. 9 indexed citations
2.
Ng, Pui Yee, Yoon-Chi Han, Luisa Shin Ogawa, et al.. (2022). Preclinical efficacy of BDTX-4933, a brain penetrant MasterKey inhibitor targeting oncogenic BRAF Class I/II/III mutations. European Journal of Cancer. 174. S86–S86. 1 indexed citations
3.
Dardenne, Étienne, Shao Ning Yang, Ahmet Mentes, et al.. (2021). 35MO Discovery and characterization of selective, FGFR1-sparing, inhibitors of FGFR2/3 oncogenic mutations for the treatment of cancers. Annals of Oncology. 32. S15–S15. 1 indexed citations
4.
Dardenne, Étienne, Fernando Padilla, Shao Ning Yang, et al.. (2021). Abstract P246: Discovery and characterization of selective, FGFR1 sparing, inhibitors of FGFR2/3 oncogenic mutations for the treatment of cancers. Molecular Cancer Therapeutics. 20(12_Supplement). P246–P246. 1 indexed citations
6.
Keenan, Terence P., Roderick H. Scott, Xianbo Zhou, et al.. (2017). Identification of 5-(1-Methyl-5-(trifluoromethyl)-1H-pyrazol-3-yl)thiophene-2-Carboxamides as Novel and Selective Monoamine Oxidase B Inhibitors Used to Improve Memory and Cognition. ACS Chemical Neuroscience. 8(12). 2746–2758. 5 indexed citations
7.
Wanner, Jutta, Darlene Romashko, Earl W. May, et al.. (2015). Reversible Linkage of Two Distinct Small Molecule Inhibitors of Myc Generates a Dimeric Inhibitor with Improved Potency That Is Active in Myc Over-Expressing Cancer Cell Lines. PLoS ONE. 10(4). e0121793–e0121793. 13 indexed citations
8.
Hornberger, Keith R., Xin Chen, Andrew P. Crew, et al.. (2013). Discovery of 7-aminofuro[2,3-c]pyridine inhibitors of TAK1: Optimization of kinase selectivity and pharmacokinetics. Bioorganic & Medicinal Chemistry Letters. 23(16). 4511–4516. 23 indexed citations
9.
Bourtchouladze, Rusiko, et al.. (2003). A mouse model of Rubinstein-Taybi syndrome: Defective long-term memory is ameliorated by inhibitors of phosphodiesterase 4. Proceedings of the National Academy of Sciences. 100(18). 10518–10522. 250 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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