Natalie McGregor

1.4k total citations
8 papers, 504 citations indexed

About

Natalie McGregor is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Natalie McGregor has authored 8 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Natalie McGregor's work include Prostate Cancer Treatment and Research (3 papers), Cell death mechanisms and regulation (2 papers) and Research in Cotton Cultivation (2 papers). Natalie McGregor is often cited by papers focused on Prostate Cancer Treatment and Research (3 papers), Cell death mechanisms and regulation (2 papers) and Research in Cotton Cultivation (2 papers). Natalie McGregor collaborates with scholars based in United States, United Kingdom and Spain. Natalie McGregor's co-authors include Kenneth J. Pienta, David Axelrod, Robert Axelrod, Matthew Craig, Hernan Roca, Kosuke Mizutani, Sudha Sud, Zachary S. Varsos, Ying Chi and Robert D. Loberg and has published in prestigious journals such as Molecular Pharmacology, Structure and Journal of Cellular Biochemistry.

In The Last Decade

Natalie McGregor

8 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalie McGregor United States 8 240 224 140 98 85 8 504
Oscar D. Bustuoabad Argentina 13 223 0.9× 142 0.6× 135 1.0× 76 0.8× 40 0.5× 34 475
Saki Paul India 6 236 1.0× 252 1.1× 76 0.5× 172 1.8× 87 1.0× 6 475
Hannah R. Foster United States 7 333 1.4× 351 1.6× 99 0.7× 142 1.4× 18 0.2× 10 677
Saravanan Thiyagarajan India 12 216 0.9× 425 1.9× 93 0.7× 76 0.8× 51 0.6× 25 600
Jean-Philippe Cosse Belgium 8 158 0.7× 316 1.4× 80 0.6× 313 3.2× 92 1.1× 9 611
Rosemary Jeffery United Kingdom 14 214 0.9× 326 1.5× 89 0.6× 211 2.2× 95 1.1× 18 715
Mark Wappett United Kingdom 10 144 0.6× 256 1.1× 57 0.4× 140 1.4× 56 0.7× 18 477
Jennifer Smith United States 8 362 1.5× 132 0.6× 137 1.0× 60 0.6× 78 0.9× 11 570
Lesley A. Mathews Griner United States 11 158 0.7× 273 1.2× 148 1.1× 39 0.4× 29 0.3× 18 514
Erica Riveiro‐Falkenbach Spain 10 192 0.8× 362 1.6× 94 0.7× 62 0.6× 36 0.4× 25 575

Countries citing papers authored by Natalie McGregor

Since Specialization
Citations

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

Fields of papers citing papers by Natalie McGregor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie McGregor

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

All Works

8 of 8 papers shown
1.
Wu, Minghui, Xue Wang, Natalie McGregor, Kenneth J. Pienta, & Jingsong Zhang. (2014). Dynamic Regulation of Rad51 by E2F1 and p53 in Prostate Cancer Cells upon Drug-Induced DNA Damage under Hypoxia. Molecular Pharmacology. 85(6). 866–876. 31 indexed citations
2.
Shiozawa, Yusuke, Samantha McGee, Michael J. Pienta, et al.. (2013). Erythropoietin supports the survival of prostate cancer, but not growth and bone metastasis. Journal of Cellular Biochemistry. 114(11). 2471–2478. 11 indexed citations
3.
Jung, Younghun, Yusuke Shiozawa, Jingcheng Wang, et al.. (2012). Prevalence of Prostate Cancer Metastases after Intravenous Inoculation Provides Clues into the Molecular Basis of Dormancy in the Bone Marrow Microenvironment. Neoplasia. 14(5). 429–439. 50 indexed citations
4.
McGregor, Natalie, et al.. (2010). AT‐101 (R‐(−)‐gossypol acetic acid) enhances the effectiveness of androgen deprivation therapy in the VCaP prostate cancer model. Journal of Cellular Biochemistry. 110(5). 1187–1194. 20 indexed citations
5.
Mizutani, Kosuke, Sudha Sud, Natalie McGregor, et al.. (2009). The Chemokine CCL2 Increases Prostate Tumor Growth and Bone Metastasis through Macrophage and Osteoclast Recruitment. Neoplasia. 11(11). 1235–1242. 176 indexed citations
6.
Pienta, Kenneth J., Natalie McGregor, Robert Axelrod, & David Axelrod. (2008). Ecological Therapy for Cancer: Defining Tumors Using an Ecosystem Paradigm Suggests New Opportunities for Novel Cancer Treatments. Translational Oncology. 1(4). 158–164. 118 indexed citations
8.
McGregor, Natalie, Silvia Ayora, Svetlana E. Sedelnikova, et al.. (2005). The Structure of Bacillus subtilis RecU Holliday Junction Resolvase and Its Role in Substrate Selection and Sequence-Specific Cleavage. Structure. 13(9). 1341–1351. 52 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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