Rachael E. Redgrave

1.1k total citations
18 papers, 731 citations indexed

About

Rachael E. Redgrave is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Rachael E. Redgrave has authored 18 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Physiology and 5 papers in Genetics. Recurrent topics in Rachael E. Redgrave's work include Telomeres, Telomerase, and Senescence (6 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Tracheal and airway disorders (3 papers). Rachael E. Redgrave is often cited by papers focused on Telomeres, Telomerase, and Senescence (6 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Tracheal and airway disorders (3 papers). Rachael E. Redgrave collaborates with scholars based in United Kingdom, United States and France. Rachael E. Redgrave's co-authors include Helen M. Arthur, Simon Tual‐Chalot, Gavin D. Richardson, Ioakim Spyridopoulos, Emily Dookun, W. Andrew Owens, João F. Passos, Anna Walaszczyk, Esha Singh and Stella Victorelli and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Rachael E. Redgrave

18 papers receiving 726 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rachael E. Redgrave United Kingdom 12 282 239 137 118 117 18 731
Motoi Okada Japan 15 369 1.3× 115 0.5× 107 0.8× 178 1.5× 135 1.2× 39 738
Shenglin Ma Switzerland 5 358 1.3× 255 1.1× 68 0.5× 85 0.7× 41 0.4× 7 830
Philipp Hillmeister Germany 11 205 0.7× 70 0.3× 58 0.4× 102 0.9× 103 0.9× 36 483
Antonia Graja Germany 10 335 1.2× 364 1.5× 188 1.4× 67 0.6× 60 0.5× 10 913
Xiao‐Lei Moore Australia 17 437 1.5× 64 0.3× 75 0.5× 182 1.5× 366 3.1× 21 1.1k
Tetsushi Nakao United States 13 250 0.9× 68 0.3× 155 1.1× 70 0.6× 178 1.5× 28 682
Sigrun Ressler Austria 11 305 1.1× 282 1.2× 34 0.2× 31 0.3× 20 0.2× 19 798
Fu‐Xing‐Zi Li China 17 798 2.8× 114 0.5× 79 0.6× 80 0.7× 102 0.9× 32 1.2k
Muhammad K. Mirza United States 7 315 1.1× 137 0.6× 25 0.2× 68 0.6× 104 0.9× 8 594
Varun Nagpal United States 9 483 1.7× 88 0.4× 22 0.2× 98 0.8× 176 1.5× 11 837

Countries citing papers authored by Rachael E. Redgrave

Since Specialization
Citations

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

Fields of papers citing papers by Rachael E. Redgrave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachael E. Redgrave

This figure shows the co-authorship network connecting the top 25 collaborators of Rachael E. Redgrave. A scholar is included among the top collaborators of Rachael E. Redgrave 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 Rachael E. Redgrave. Rachael E. Redgrave 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.
Redgrave, Rachael E., et al.. (2024). Cellular Senescence, Mitochondrial Dysfunction, and Their Link to Cardiovascular Disease. Cells. 13(4). 353–353. 28 indexed citations
2.
Redgrave, Rachael E., Esha Singh, Simon Tual‐Chalot, et al.. (2023). Exogenous Transforming Growth Factor-β1 and Its Helminth-Derived Mimic Attenuate the Heart's Inflammatory Response to Ischemic Injury and Reduce Mature Scar Size. American Journal Of Pathology. 194(4). 562–573. 6 indexed citations
3.
Redgrave, Rachael E., Emily Dookun, Simon Tual‐Chalot, et al.. (2023). Senescent cardiomyocytes contribute to cardiac dysfunction following myocardial infarction. PubMed. 9(1). 15–15. 37 indexed citations
4.
Redgrave, Rachael E., et al.. (2023). Heart Disease and Ageing: The Roles of Senescence, Mitochondria, and Telomerase in Cardiovascular Disease. Sub-cellular biochemistry. 103. 45–78. 10 indexed citations
5.
Redgrave, Rachael E., et al.. (2022). Anthracycline-induced cardiotoxicity and senescence. SHILAP Revista de lepidopterología. 3. 1058435–1058435. 11 indexed citations
6.
Tingle, Samuel J, Rachael E. Redgrave, Esha Singh, et al.. (2021). MiR-126-3p Is Dynamically Regulated in Endothelial-to-Mesenchymal Transition during Fibrosis. International Journal of Molecular Sciences. 22(16). 8629–8629. 30 indexed citations
7.
Marsh, Sarah, et al.. (2021). Rapid fall in circulating non‐classical monocytes in ST elevation myocardial infarction patients correlates with cardiac injury. The FASEB Journal. 35(5). e21604–e21604. 12 indexed citations
8.
Martín-Ruiz, Carmen, Jedrzej Hoffmann, Evgeniya V. Shmeleva, et al.. (2020). CMV-independent increase in CD27−CD28+ CD8+ EMRA T cells is inversely related to mortality in octogenarians. SHILAP Revista de lepidopterología. 6(1). 3–3. 29 indexed citations
9.
Singh, Esha, Rachael E. Redgrave, Helen M. Phillips, & Helen M. Arthur. (2020). Arterial endoglin does not protect against arteriovenous malformations. Angiogenesis. 23(4). 559–566. 29 indexed citations
10.
Dookun, Emily, Anna Walaszczyk, Rachael E. Redgrave, et al.. (2020). Clearance of senescent cells during cardiac ischemia–reperfusion injury improves recovery. Aging Cell. 19(10). e13249–e13249. 119 indexed citations
11.
12.
Tual‐Chalot, Simon, Rachael E. Redgrave, Esha Singh, et al.. (2019). Loss of Endothelial Endoglin Promotes High-Output Heart Failure Through Peripheral Arteriovenous Shunting Driven by VEGF Signaling. Circulation Research. 126(2). 243–257. 46 indexed citations
13.
Walaszczyk, Anna, Emily Dookun, Rachael E. Redgrave, et al.. (2019). Pharmacological clearance of senescent cells improves survival and recovery in aged mice following acute myocardial infarction. Aging Cell. 18(3). e12945–e12945. 175 indexed citations
14.
Lawera, Aleksandra, Zhen Tong, Midory Thorikay, et al.. (2019). Role of soluble endoglin in BMP9 signaling. Proceedings of the National Academy of Sciences. 116(36). 17800–17808. 68 indexed citations
15.
Redgrave, Rachael E., Simon Tual‐Chalot, Benjamin Davison, et al.. (2017). Cardiosphere-Derived Cells Require Endoglin for Paracrine-Mediated Angiogenesis. Stem Cell Reports. 8(5). 1287–1298. 26 indexed citations
16.
Redgrave, Rachael E., Simon Tual‐Chalot, Benjamin Davison, et al.. (2016). Using MRI to predict future adverse cardiac remodelling in a male mouse model of myocardial infarction. IJC Heart & Vasculature. 11. 29–34. 5 indexed citations
17.
Tual‐Chalot, Simon, Marwa Mahmoud, Kathleen R. Allinson, et al.. (2014). Endothelial Depletion of Acvrl1 in Mice Leads to Arteriovenous Malformations Associated with Reduced Endoglin Expression. PLoS ONE. 9(6). e98646–e98646. 98 indexed citations
18.
Redgrave, Rachael E., et al.. (2013). 260 THE EFFECT OF SUB PHYSIOLOGICAL OXYGEN ON PRO ANGIOGENIC POTENTIAL OF CARDIOSPHERE DERIVED CELLS (CDCS). Heart. 99(suppl 2). A137.1–A137. 1 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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