Nichola Figg

7.6k total citations · 1 hit paper
67 papers, 5.6k citations indexed

About

Nichola Figg is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Nichola Figg has authored 67 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 22 papers in Immunology and 10 papers in Cancer Research. Recurrent topics in Nichola Figg's work include Atherosclerosis and Cardiovascular Diseases (13 papers), Mitochondrial Function and Pathology (8 papers) and Cell Adhesion Molecules Research (7 papers). Nichola Figg is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (13 papers), Mitochondrial Function and Pathology (8 papers) and Cell Adhesion Molecules Research (7 papers). Nichola Figg collaborates with scholars based in United Kingdom, United States and China. Nichola Figg's co-authors include Martin R. Bennett, Murray C.H. Clarke, Trevor D. Littlewood, John R. Mercer, Martin Goddard, Anthony P. Davenport, Janet J. Maguire, Alison Finigan, Kelly Gray and Catherine M. Shanahan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.

In The Last Decade

Nichola Figg

66 papers receiving 5.6k citations

Hit Papers

align trajectories sort by overperformance

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.

Apoptosis of vascular smooth muscle cells induces features of plaque vulnerability in atherosclerosis

2006 538 citations Murray C.H. Clarke, Nichola Figg et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nichola Figg United Kingdom	36	2.6k	1.5k	727	697	658	67	5.6k
Yves Gorin United States	41	2.4k 0.9×	1.4k 0.9×	1.3k 1.8×	527 0.8×	369 0.6×	61	5.8k
Farhad Parhami United States	37	2.4k 0.9×	1.3k 0.8×	541 0.7×	1.4k 2.0×	684 1.0×	60	6.1k
Keizo Kanasaki Japan	49	2.4k 0.9×	645 0.4×	829 1.1×	839 1.2×	979 1.5×	143	6.6k
Yunchao Su United States	36	2.1k 0.8×	637 0.4×	1.2k 1.6×	479 0.7×	541 0.8×	105	5.0k
Karen Block United States	35	2.0k 0.8×	1.1k 0.7×	946 1.3×	369 0.5×	267 0.4×	47	4.5k
Murray C.H. Clarke United Kingdom	25	2.0k 0.8×	1.7k 1.1×	547 0.8×	491 0.7×	538 0.8×	40	4.1k
Goutam Ghosh Choudhury United States	47	3.9k 1.5×	782 0.5×	791 1.1×	768 1.1×	360 0.5×	145	6.3k
Yi Zhu China	52	3.4k 1.3×	916 0.6×	898 1.2×	1.2k 1.7×	964 1.5×	154	7.6k
William A. Boisvert United States	36	2.7k 1.0×	2.3k 1.5×	600 0.8×	1.6k 2.3×	1.2k 1.8×	81	6.4k
Jeffrey L. Barnes United States	37	1.9k 0.7×	812 0.5×	704 1.0×	599 0.9×	318 0.5×	92	4.9k

Countries citing papers authored by Nichola Figg

Since Specialization

Citations

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

Fields of papers citing papers by Nichola Figg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nichola Figg

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

All Works

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20 of 20 papers shown

Mahbubani, Krishnaa T., Kirsty Foote, Nichola Figg, et al.. (2025). Delineation of a thrombin receptor-stimulated vascular smooth muscle cell transition generating cells in the plaque-stabilizing fibrous cap. Cardiovascular Research. 121(9). 1359–1372. 1 indexed citations

Figg, Nichola, Maria Imaz, Kirsty Foote, et al.. (2024). Network-based prioritization and validation of regulators of vascular smooth muscle cell proliferation in disease. Nature Cardiovascular Research. 3(6). 714–733. 7 indexed citations

Burzynski, Laura C., et al.. (2023). Thrombin-activated interleukin-1α drives atherogenesis, but also promotes vascular smooth muscle cell proliferation and collagen production. Cardiovascular Research. 119(12). 2179–2189. 6 indexed citations

Taylor, Annabel L., Lina Dobnikar, Joel Chappell, et al.. (2022). Cellular mechanisms of oligoclonal vascular smooth muscle cell expansion in cardiovascular disease. Cardiovascular Research. 119(5). 1279–1294. 28 indexed citations

Wang, Shuo, Priya Sastry, Nichola Figg, et al.. (2022). Association of Collagen, Elastin, Glycosaminoglycans, and Macrophages With Tissue Ultimate Material Strength and Stretch in Human Thoracic Aortic Aneurysms: A Uniaxial Tension Study. Journal of Biomechanical Engineering. 144(10). 6 indexed citations

Teng, Zhongzhao, Shuo Wang, Valentina Taviani, et al.. (2021). Study on the association of wall shear stress and vessel structural stress with atherosclerosis: An experimental animal study. Atherosclerosis. 320. 38–46. 14 indexed citations

Grootaert, Mandy O. J., Alison Finigan, Nichola Figg, Anna Uryga, & Martin R. Bennett. (2020). SIRT6 Protects Smooth Muscle Cells From Senescence and Reduces Atherosclerosis. Circulation Research. 128(4). 474–491. 173 indexed citations

Foote, Kirsty, Nichola Figg, Alison Finigan, et al.. (2020). Cytokine regulation of apoptosis-induced apoptosis and apoptosis-induced cell proliferation in vascular smooth muscle cells. APOPTOSIS. 25(9-10). 648–662. 28 indexed citations

Wang, Shuo, Yuan Huang, Yongxue Zhang, et al.. (2019). Bayesian Inference-Based Estimation of Normal Aortic, Aneurysmal and Atherosclerotic Tissue Mechanical Properties: From Material Testing, Modeling and Histology. IEEE Transactions on Biomedical Engineering. 66(8). 2269–2278. 8 indexed citations

10.

Bargehr, Johannes, Lay Ping Ong, Maria Colzani, et al.. (2019). Epicardial cells derived from human embryonic stem cells augment cardiomyocyte-driven heart regeneration. Nature Biotechnology. 37(8). 895–906. 142 indexed citations

11.

Foote, Kirsty, Johannes Reinhold, Emma Yu, et al.. (2018). Restoring mitochondrial DNA copy number preserves mitochondrial function and delays vascular aging in mice. Aging Cell. 17(4). e12773–e12773. 102 indexed citations

12.

Yasmin, Yasmin, Carmel M. McEniery, Ye Li, et al.. (2018). The matrix proteins aggrecan and fibulin-1 play a key role in determining aortic stiffness. Scientific Reports. 8(1). 8550–8550. 37 indexed citations

13.

Nus, Meritxell, Andrew P. Sage, Yuning Lu, et al.. (2017). Marginal zone B cells control the response of follicular helper T cells to a high-cholesterol diet. Nature Medicine. 23(5). 601–610. 109 indexed citations

14.

Wang, Julie, Anna Uryga, Johannes Reinhold, et al.. (2015). Vascular Smooth Muscle Cell Senescence Promotes Atherosclerosis and Features of Plaque Vulnerability. Circulation. 132(20). 1909–1919. 275 indexed citations

15.

Yu, Emma, Patrick A. Calvert, John R. Mercer, et al.. (2013). Mitochondrial DNA Damage Can Promote Atherosclerosis Independently of Reactive Oxygen Species Through Effects on Smooth Muscle Cells and Monocytes and Correlates With Higher-Risk Plaques in Humans. Circulation. 128(7). 702–712. 232 indexed citations

16.

Joshi, Francis R., Roido Manavaki, Tim D. Fryer, et al.. (2013). Abstract 14673: Imaging of Hypoxia and Inflammation in Carotid Atherosclerosis With 18F-Fluoromisonidazole and 18F-Fluorodeoxyglucose Positron Emission Tomography. Circulation. 6 indexed citations

17.

Gorenne, Isabelle, Sheetal Kumar, Kelly Gray, et al.. (2012). Vascular Smooth Muscle Cell Sirtuin 1 Protects Against DNA Damage and Inhibits Atherosclerosis. Circulation. 127(3). 386–396. 226 indexed citations

18.

Fullard, Nicola, Paul A. Townsend, Christopher P. Fox, et al.. (2011). The NF-κB Subunit c-Rel Stimulates Cardiac Hypertrophy and Fibrosis. American Journal Of Pathology. 180(3). 929–939. 68 indexed citations

19.

Yu, Haixiang, Murray C.H. Clarke, Nichola Figg, Trevor D. Littlewood, & Martin R. Bennett. (2011). Smooth Muscle Cell Apoptosis Promotes Vessel Remodeling and Repair via Activation of Cell Migration, Proliferation, and Collagen Synthesis. Arteriosclerosis Thrombosis and Vascular Biology. 31(11). 2402–2409. 58 indexed citations

20.

Bird, Joseph, David Izquierdo‐Garcia, John R. Davies, et al.. (2009). Evaluation of translocator protein quantification as a tool for characterising macrophage burden in human carotid atherosclerosis. Atherosclerosis. 210(2). 388–391. 70 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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