Gwen MacDonald

1.5k total citations · 1 hit paper
18 papers, 1.2k citations indexed

About

Gwen MacDonald is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gwen MacDonald has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Gwen MacDonald's work include CRISPR and Genetic Engineering (5 papers), Pulmonary Hypertension Research and Treatments (4 papers) and Virus-based gene therapy research (3 papers). Gwen MacDonald is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Pulmonary Hypertension Research and Treatments (4 papers) and Virus-based gene therapy research (3 papers). Gwen MacDonald collaborates with scholars based in Switzerland, United States and Canada. Gwen MacDonald's co-authors include Nancy E. Hynes, Mohamed Bentires‐Alj, Christopher R. Mueller, Nicola Aceto, Thomas Schlange, Patrizia Sini, Ivana Samaržija, Ivan Nalvarte, Т. А. Смирнова and Jeffrey Wyckoff and has published in prestigious journals such as Blood, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Gwen MacDonald

17 papers receiving 1.1k citations

Hit Papers

ErbB receptors and signaling pathways in cancer 2009 2026 2014 2020 2009 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. ErbB receptors and signaling pathways in cancer
    2009 750 citations Nancy E. Hynes, Gwen MacDonald Current Opinion in Cell Biology profile →

Peers

Gwen MacDonald
Joan Josep Bech‐Serra Spain
Grégoire Prévost France
Sudhir B. Kondapaka United States
Manjari Dimri United States
Steven Coats United States
Daniel T. Dransfield United States
Taidong Qiao China
Clifton Stephens United States
Claudia Paret Germany
Rob Ruijtenbeek Netherlands
Joan Josep Bech‐Serra Spain
Gwen MacDonald
Citations per year, relative to Gwen MacDonald Gwen MacDonald (= 1×) peers Joan Josep Bech‐Serra

Countries citing papers authored by Gwen MacDonald

Since Specialization
Citations

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

Fields of papers citing papers by Gwen MacDonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gwen MacDonald

This figure shows the co-authorship network connecting the top 25 collaborators of Gwen MacDonald. A scholar is included among the top collaborators of Gwen MacDonald 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 Gwen MacDonald. Gwen MacDonald 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.
Chin, Kelly, Richard Channick, Nick H. Kim, et al.. (2024). Macitentan and Tadalafil Combination Therapy in Incident and Prevalent Pulmonary Arterial Hypertension: Real-World Evidence from the OPUS/OrPHeUS Studies. Advances in Therapy. 41(11). 4205–4227.
2.
Kiely, David G., Richard N. Channick, Dayana Flores, et al.. (2024). Comparison of cardiac magnetic resonance imaging, functional and haemodynamic variables in pulmonary arterial hypertension: insights from REPAIR. ERJ Open Research. 10(1). 547–2023. 1 indexed citations
3.
Kim, Nick H., Kelly Chin, Vallerie V. McLaughlin, et al.. (2024). Safety of Macitentan for the Treatment of Portopulmonary Hypertension: Real-World Evidence from the Combined OPUS/OrPHeUS Studies. Pulmonary Therapy. 10(1). 85–107. 5 indexed citations
4.
McLaughlin, Vallerie V., Olivier Sitbon, Kelly Chin, et al.. (2024). Initial Combination Therapy with Macitentan and Tadalafil in Patients with Pulmonary Arterial Hypertension, with and without Cardiac Comorbidities. European Journal of Heart Failure. 26(11). 2379–2391. 4 indexed citations
5.
Смирнова, Т. А., Laura Bonapace, Gwen MacDonald, et al.. (2016). Serpin E2 promotes breast cancer metastasis by remodeling the tumor matrix and polarizing tumor associated macrophages. Oncotarget. 7(50). 82289–82304. 29 indexed citations
6.
MacDonald, Gwen, et al.. (2016). Memo interacts with c-Src to control Estrogen Receptor alpha sub-cellular localization. Oncotarget. 7(35). 56170–56182. 20 indexed citations
7.
MacDonald, Gwen, Ivan Nalvarte, Т. А. Смирнова, et al.. (2014). Memo Is a Copper-Dependent Redox Protein with an Essential Role in Migration and Metastasis. Science Signaling. 7(329). ra56–ra56. 124 indexed citations
8.
Zhou, Lixin, Marcia L. Graves, Gwen MacDonald, et al.. (2013). Microenvironmental Regulation of BRCA1 Gene Expression by c-Jun and Fra2 in Premalignant Human Ovarian Surface Epithelial Cells. Molecular Cancer Research. 11(3). 272–281. 12 indexed citations
9.
Aceto, Nicola, Stephan Duss, Gwen MacDonald, et al.. (2012). Co-expression of HER2 and HER3 receptor tyrosine kinases enhances invasion of breast cells via stimulation of interleukin-8 autocrine secretion. Breast Cancer Research. 14(5). R131–R131. 46 indexed citations
10.
11.
Hynes, Nancy E. & Gwen MacDonald. (2009). ErbB receptors and signaling pathways in cancer. Current Opinion in Cell Biology. 21(2). 177–184. 750 indexed citations breakdown →
12.
Samaržija, Ivana, Patrizia Sini, Thomas Schlange, Gwen MacDonald, & Nancy E. Hynes. (2009). Wnt3a regulates proliferation and migration of HUVEC via canonical and non-canonical Wnt signaling pathways. Biochemical and Biophysical Research Communications. 386(3). 449–454. 57 indexed citations
13.
Graves, Marcia L., Lixin Zhou, Gwen MacDonald, Christopher R. Mueller, & Calvin D. Roskelley. (2007). Regulation of the BRCA1 promoter in ovarian surface epithelial cells and ovarian carcinoma cells. FEBS Letters. 581(9). 1825–1833. 8 indexed citations
14.
MacDonald, Gwen, et al.. (2007). Characterization of a negative transcriptional element in the BRCA1 promoter. Breast Cancer Research. 9(4). R49–R49. 14 indexed citations
15.
White, Nicole M., Carl F. Perez, Gwen MacDonald, et al.. (2005). Transgene expression after stable transfer of a mammalian artificial chromosome into human hematopoietic cells. Experimental Hematology. 33(12). 1470–1476. 20 indexed citations
16.
White, Nicole M., Carl F. Perez, Gwen MacDonald, et al.. (2004). Transgene Expression after Stable Transfer of a Mammalian Artificial Chromosome into Human Hematopoietic Cells.. Blood. 104(11). 498–498. 1 indexed citations
17.
18.
Gallimore, Ronald, et al.. (1970). CONTINGENCY COUNSELING BY SCHOOL PERSONNEL: AN ECONOMICAL MODEL OF INTERVENTION1. Journal of Applied Behavior Analysis. 3(3). 175–182. 21 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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