Donna E. Goldhawk

501 total citations
21 papers, 378 citations indexed

About

Donna E. Goldhawk is a scholar working on Molecular Biology, Epidemiology and Hematology. According to data from OpenAlex, Donna E. Goldhawk has authored 21 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Epidemiology and 4 papers in Hematology. Recurrent topics in Donna E. Goldhawk's work include Iron Metabolism and Disorders (4 papers), Preterm Birth and Chorioamnionitis (4 papers) and Magnetic and Electromagnetic Effects (3 papers). Donna E. Goldhawk is often cited by papers focused on Iron Metabolism and Disorders (4 papers), Preterm Birth and Chorioamnionitis (4 papers) and Magnetic and Electromagnetic Effects (3 papers). Donna E. Goldhawk collaborates with scholars based in Canada, United States and United Kingdom. Donna E. Goldhawk's co-authors include Joseph M. Verdi, Chris J. Kubu, Susan O. Meakin, Arash Bashirullah, Mina Jamali, Howard D. Lipshitz, Frank S. Prato, Philip Barker, Stephen E. Kendall and Robert T. Thompson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Donna E. Goldhawk

19 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donna E. Goldhawk Canada 8 252 51 44 39 36 21 378
Tshering Lama-Sherpa United States 12 374 1.5× 50 1.0× 120 2.7× 45 1.2× 26 0.7× 22 527
Qian Ding China 12 500 2.0× 96 1.9× 108 2.5× 51 1.3× 28 0.8× 23 629
Lowenna J. Holt Australia 13 503 2.0× 35 0.7× 46 1.0× 8 0.2× 21 0.6× 15 653
D. Marković Germany 6 191 0.8× 31 0.6× 25 0.6× 33 0.8× 10 0.3× 11 684
Christa Haase United States 9 362 1.4× 69 1.4× 163 3.7× 51 1.3× 23 0.6× 11 562
Joachim Malotka Germany 13 229 0.9× 28 0.5× 61 1.4× 53 1.4× 97 2.7× 20 811
Z. Christine Bian United States 6 304 1.2× 24 0.5× 130 3.0× 29 0.7× 9 0.3× 7 459
Tsuyoshi Fujioka Japan 9 639 2.5× 42 0.8× 44 1.0× 20 0.5× 106 2.9× 16 797
Francesca Meda France 7 148 0.6× 30 0.6× 30 0.7× 17 0.4× 9 0.3× 7 291
Mary Cathleen McKinney United States 13 451 1.8× 49 1.0× 168 3.8× 29 0.7× 7 0.2× 32 605

Countries citing papers authored by Donna E. Goldhawk

Since Specialization
Citations

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

Fields of papers citing papers by Donna E. Goldhawk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donna E. Goldhawk. 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 Donna E. Goldhawk. The network helps show where Donna E. Goldhawk may publish in the future.

Co-authorship network of co-authors of Donna E. Goldhawk

This figure shows the co-authorship network connecting the top 25 collaborators of Donna E. Goldhawk. A scholar is included among the top collaborators of Donna E. Goldhawk 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 Donna E. Goldhawk. Donna E. Goldhawk 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.
Goldhawk, Donna E., et al.. (2025). Assessing microbiota in vivo: debugging with medical imaging. Trends in Microbiology. 33(4). 408–420.
2.
Fradin, Cécile, et al.. (2024). Essential magnetosome proteins MamI and MamL from magnetotactic bacteria interact in mammalian cells. Scientific Reports. 14(1). 26292–26292. 1 indexed citations
4.
Gelman, Neil, Jonathan D. Thiessen, Robert T. Thompson, et al.. (2024). Bacterial association with metals enables in vivo monitoring of urogenital microbiota using magnetic resonance imaging. Communications Biology. 7(1). 1079–1079. 1 indexed citations
5.
Gelman, Neil, et al.. (2023). Monocyte MRI Relaxation Rates Are Regulated by Extracellular Iron and Hepcidin. International Journal of Molecular Sciences. 24(4). 4036–4036. 2 indexed citations
6.
Thompson, Terry, et al.. (2020). Hepcidin-mediated Iron Regulation in P19 Cells is Detectable by Magnetic Resonance Imaging. Scientific Reports. 10(1). 3163–3163. 4 indexed citations
7.
Wisenberg, Gerald, et al.. (2019). Hybrid PET/MR imaging in myocardial inflammation post-myocardial infarction. Journal of Nuclear Cardiology. 27(6). 2083–2099. 17 indexed citations
8.
Liu, Linshan, Robert T. Thompson, Frank S. Prato, et al.. (2019). MagA expression attenuates iron export activity in undifferentiated multipotent P19 cells. PLoS ONE. 14(6). e0217842–e0217842. 10 indexed citations
9.
Goldhawk, Donna E., Neil Gelman, Anindita Sengupta, & Frank S. Prato. (2015). The Interface Between Iron Metabolism and Gene-Based Iron Contrast for MRI. PubMed. 8(Suppl 1). 9–9. 6 indexed citations
10.
Thompson, Robert T., et al.. (2015). Investigating the Relationship between Transverse Relaxation Rate (R2) and Interecho Time in MagA-Expressing, Iron-Labeled Cells. Molecular Imaging. 14(12). 551–60. 1 indexed citations
11.
Figueredo, René, Y Bureau, James Koropatnick, et al.. (2013). Imaging Tumor Growth Non-invasively Using Expression of MagA or Modified Ferritin Subunits to Augment Intracellular Contrast for Repetitive MRI. Molecular Imaging and Biology. 16(1). 63–73. 18 indexed citations
12.
Goldhawk, Donna E., et al.. (2012). Using the magnetosome to model effective gene‐based contrast for magnetic resonance imaging. Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology. 4(4). 378–388. 29 indexed citations
13.
Goldhawk, Donna E., Claude Lemaire, Cheryl R. McCreary, et al.. (2009). Magnetic Resonance Imaging of Cells Overexpressing MagA, an Endogenous Contrast Agent for Live Cell Imaging. Molecular Imaging. 8(3). 129–39. 52 indexed citations
14.
Kendall, Stephen E., Donna E. Goldhawk, Chris J. Kubu, Philip Barker, & Joseph M. Verdi. (2002). Expression analysis of a novel p75NTR signaling protein, which regulates cell cycle progression and apoptosis. Mechanisms of Development. 117(1-2). 187–200. 53 indexed citations
15.
Goldhawk, Donna E., Susan O. Meakin, & Joseph M. Verdi. (2000). Subpopulations of Rat B2+ Neuroblasts Exhibit Differential Neurotrophin Responsiveness during Sympathetic Development. Developmental Biology. 218(2). 367–377. 7 indexed citations
16.
Verdi, Joseph M., Arash Bashirullah, Donna E. Goldhawk, et al.. (1999). Distinct human NUMB isoforms regulate differentiation vs. proliferation in the neuronal lineage. Proceedings of the National Academy of Sciences. 96(18). 10472–10476. 161 indexed citations
17.
Goldhawk, Donna E. & R. Hobkirk. (1998). β-glucuronidase is not required for transfer of [3H]-estrone-[14C]glucuronide across guinea pig fetal membranes. The Journal of Steroid Biochemistry and Molecular Biology. 66(1-2). 63–70. 1 indexed citations
18.
Goldhawk, Donna E. & R. Hobkirk. (1998). Transfer of [3H]estrone-[35S]sulfate across guinea pig fetal membranes. The Journal of Steroid Biochemistry and Molecular Biology. 67(1). 33–40. 1 indexed citations
19.
Goldhawk, Donna E. & R. Hobkirk. (1998). Transfer of steroidal and nonsteroidal compounds across guinea pig fetal membranes. Journal of Experimental Zoology. 280(6). 403–412. 4 indexed citations
20.
Goldhawk, Donna E., David Carter, & R. Hobkirk. (1996). Microscopic and biochemical analysis of the viability and permeability of guinea pig amnion and chorion laeve in vitro. Journal of Experimental Zoology. 275(5). 383–397. 9 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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