Catriona Cunningham

1.2k total citations
18 papers, 905 citations indexed

About

Catriona Cunningham is a scholar working on Surgery, Genetics and Molecular Biology. According to data from OpenAlex, Catriona Cunningham has authored 18 papers receiving a total of 905 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Catriona Cunningham's work include Mesenchymal stem cell research (6 papers), Spinal Cord Injury Research (4 papers) and Extracellular vesicles in disease (3 papers). Catriona Cunningham is often cited by papers focused on Mesenchymal stem cell research (6 papers), Spinal Cord Injury Research (4 papers) and Extracellular vesicles in disease (3 papers). Catriona Cunningham collaborates with scholars based in United Kingdom, United States and Germany. Catriona Cunningham's co-authors include Stuart M. Allan, Elena Redondo‐Castro, Emmanuel Pinteaux, Jonjo Miller, D. A. Barry, Henning Prommer, Ling Li, F. Stagnitti, J.‐Y. Parlange and Nancy J. Rothwell and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Cerebral Blood Flow & Metabolism.

In The Last Decade

Catriona Cunningham

17 papers receiving 889 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Catriona Cunningham United Kingdom 12 352 212 173 142 113 18 905
Mark ter Laan Netherlands 18 375 1.1× 216 1.0× 148 0.9× 132 0.9× 221 2.0× 50 1.3k
Tian Zhou China 17 320 0.9× 733 3.5× 154 0.9× 276 1.9× 78 0.7× 45 1.6k
Yanting Chen China 16 115 0.3× 481 2.3× 93 0.5× 157 1.1× 181 1.6× 27 1.1k
Hani Malone United States 12 511 1.5× 152 0.7× 281 1.6× 36 0.3× 204 1.8× 31 1.1k
Daoying Geng China 23 548 1.6× 130 0.6× 115 0.7× 177 1.2× 166 1.5× 142 1.8k
Feng Chang China 20 128 0.4× 191 0.9× 395 2.3× 28 0.2× 71 0.6× 61 1.3k
Shingo Tanaka Japan 18 342 1.0× 460 2.2× 162 0.9× 24 0.2× 71 0.6× 65 1.1k
Rajarshi Pal India 23 417 1.2× 868 4.1× 353 2.0× 25 0.2× 173 1.5× 59 1.5k
Kazuhiro Koshino Japan 16 79 0.2× 99 0.5× 91 0.5× 48 0.3× 136 1.2× 53 818
Yanhui Liu China 16 244 0.7× 298 1.4× 51 0.3× 30 0.2× 90 0.8× 101 884

Countries citing papers authored by Catriona Cunningham

Since Specialization
Citations

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

Fields of papers citing papers by Catriona Cunningham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catriona Cunningham

This figure shows the co-authorship network connecting the top 25 collaborators of Catriona Cunningham. A scholar is included among the top collaborators of Catriona Cunningham 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 Catriona Cunningham. Catriona Cunningham 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.
2.
Cunningham, Catriona, et al.. (2023). The potential effects of polyunsaturated ω-3 fatty acids on spinal cord injury: A systematic review & meta-analysis of preclinical evidence. Prostaglandins Leukotrienes and Essential Fatty Acids. 191. 102554–102554. 3 indexed citations
3.
Watzlawick, Ralf, Emily S. Sena, Catriona Cunningham, et al.. (2022). Effectiveness of biomaterial-based combination strategies for spinal cord repair – a systematic review and meta-analysis of preclinical literature. Spinal Cord. 60(12). 1041–1049. 5 indexed citations
4.
Cunningham, Catriona, et al.. (2022). The potential of gene therapies for spinal cord injury repair: a systematic review and meta-analysis of pre-clinical studies. Neural Regeneration Research. 18(2). 299–299. 12 indexed citations
5.
Thomas, Josephine Maria, Catriona Cunningham, Catherine B. Lawrence, Emmanuel Pinteaux, & Stuart M. Allan. (2020). Therapeutic potential of extracellular vesicles in preclinical strokemodels: a systematic review and meta-analysisTherapeutic potential ofextracellular vesicles in preclinical stroke models: a systematic review andmeta-analysis. SHILAP Revista de lepidopterología. 44(11). e100047–e100047. 8 indexed citations
6.
Cunningham, Catriona, et al.. (2020). Systemic conditioned medium treatment from interleukin-1 primed mesenchymal stem cells promotes recovery after stroke. Stem Cell Research & Therapy. 11(1). 32–32. 31 indexed citations
7.
Cunningham, Catriona, et al.. (2020). The Therapeutic Potential of the Stem Cell Secretome for Spinal Cord Repair: A Systematic Review and Meta-Analysis. OBM Neurobiology. 4(4). 1–15. 6 indexed citations
8.
Haley, Michael, Claire White, Catriona Cunningham, et al.. (2019). Stroke Induces Prolonged Changes in Lipid Metabolism, the Liver and Body Composition in Mice. Translational Stroke Research. 11(4). 837–850. 27 indexed citations
9.
10.
Redondo‐Castro, Elena, et al.. (2018). Changes in the secretome of tri-dimensional spheroid-cultured human mesenchymal stem cells in vitro by interleukin-1 priming. Stem Cell Research & Therapy. 9(1). 11–11. 76 indexed citations
11.
Cunningham, Catriona, Elena Redondo‐Castro, & Stuart M. Allan. (2018). The therapeutic potential of the mesenchymal stem cell secretome in ischaemic stroke. Journal of Cerebral Blood Flow & Metabolism. 38(8). 1276–1292. 185 indexed citations
12.
Redondo‐Castro, Elena, Catriona Cunningham, Stuart A. Cain, et al.. (2018). Generation of Human Mesenchymal Stem Cell 3D Spheroids Using Low-binding Plates. BIO-PROTOCOL. 8(16). 22 indexed citations
13.
Hainsworth, Atticus H., Stuart M. Allan, Johannes Boltze, et al.. (2017). Translational models for vascular cognitive impairment: a review including larger species. BMC Medicine. 15(1). 16–16. 68 indexed citations
14.
Redondo‐Castro, Elena, Catriona Cunningham, Jonjo Miller, et al.. (2017). Interleukin-1 primes human mesenchymal stem cells towards an anti-inflammatory and pro-trophic phenotype in vitro. Stem Cell Research & Therapy. 8(1). 79–79. 191 indexed citations
15.
Burns, Monika, Sureshkumar Muthupalani, Zhongming Ge, et al.. (2015). Helicobacter pylori Infection Induces Anemia, Depletes Serum Iron Storage, and Alters Local Iron-Related and Adult Brain Gene Expression in Male INS-GAS Mice. PLoS ONE. 10(11). e0142630–e0142630. 32 indexed citations
16.
Cunningham, Catriona. (2007). Reclaiming `Paradise Lost' in the Writings of Patrick Chamoiseau and Edouard Glissant. French Cultural Studies. 18(3). 277–291. 2 indexed citations
17.
Barry, D. A., J.‐Y. Parlange, Ling Li, et al.. (2000). Analytical approximations for real values of the Lambert W-function. Mathematics and Computers in Simulation. 53(1-2). 95–103. 188 indexed citations
18.
Barry, D. A., K. Bajracharya, Martin Crapper, Henning Prommer, & Catriona Cunningham. (2000). Comparison of split-operator methods for solving coupled chemical non-equilibrium reaction/groundwater transport models. Mathematics and Computers in Simulation. 53(1-2). 113–127. 33 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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