Thomas Moore‐Morris

4.0k total citations · 4 hit papers
30 papers, 3.0k citations indexed

About

Thomas Moore‐Morris is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Thomas Moore‐Morris has authored 30 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Cardiology and Cardiovascular Medicine and 9 papers in Surgery. Recurrent topics in Thomas Moore‐Morris's work include Congenital heart defects research (8 papers), Tissue Engineering and Regenerative Medicine (5 papers) and Cardiac Fibrosis and Remodeling (5 papers). Thomas Moore‐Morris is often cited by papers focused on Congenital heart defects research (8 papers), Tissue Engineering and Regenerative Medicine (5 papers) and Cardiac Fibrosis and Remodeling (5 papers). Thomas Moore‐Morris collaborates with scholars based in France, United States and Italy. Thomas Moore‐Morris's co-authors include Sylvia Μ. Evans, Tatiana Kisseleva, David A. Brenner, Michel Pucéat, Nuno Guimarães‐Camboa, Yusu Gu, Kirk L. Peterson, Nancy D. Dalton, Yong‐Han Paik and Keiko Iwaisako and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Thomas Moore‐Morris

28 papers receiving 2.9k citations

Hit Papers

Myofibroblasts revert to an inactive phenotype during reg... 2012 2026 2016 2021 2012 2014 2014 2017 200 400 600
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.

  1. Myofibroblasts revert to an inactive phenotype during regression of liver fibrosis
    2012 615 citations Tatiana Kisseleva, Min Cong et al. Proceedings of the National Academy of Sciences profile →
  2. Resident fibroblast lineages mediate pressure overload–induced cardiac fibrosis
    2014 486 citations Thomas Moore‐Morris, Nuno Guimarães‐Camboa et al. Journal of Clinical Investigation profile →
  3. Origin of myofibroblasts in the fibrotic liver in mice
    2014 411 citations Keiko Iwaisako, Chunyan Jiang et al. Proceedings of the National Academy of Sciences profile →
  4. Pericytes of Multiple Organs Do Not Behave as Mesenchymal Stem Cells In Vivo
    2017 361 citations Nuno Guimarães‐Camboa, Paola Cattaneo et al. Cell stem cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Moore‐Morris France 20 1.3k 837 753 695 692 30 3.0k
Mohsin Khan United States 32 1.5k 1.2× 600 0.7× 911 1.2× 274 0.4× 167 0.2× 83 3.0k
Iwao Kida Japan 23 956 0.8× 295 0.4× 624 0.8× 292 0.4× 481 0.7× 29 2.5k
Anne-Clémence Vion France 18 1.5k 1.2× 372 0.4× 223 0.3× 437 0.6× 119 0.2× 27 2.4k
Anuradha Natarajan Austria 7 1.7k 1.4× 127 0.2× 659 0.9× 263 0.4× 193 0.3× 8 2.6k
Oleg Tarnavski United States 14 2.3k 1.9× 1.7k 2.0× 715 0.9× 315 0.5× 64 0.1× 14 4.1k
Junya Azuma Japan 26 1.1k 0.9× 496 0.6× 944 1.3× 152 0.2× 173 0.3× 52 2.8k
M Eghbali United States 20 991 0.8× 1.2k 1.4× 482 0.6× 166 0.2× 185 0.3× 31 2.5k
Paul D. Upton United Kingdom 38 1.8k 1.5× 1.2k 1.4× 710 0.9× 254 0.4× 241 0.3× 76 5.2k
Tae‐Hwa Chun Japan 29 1.6k 1.3× 702 0.8× 498 0.7× 490 0.7× 39 0.1× 51 3.4k
Pawel Zerr Germany 31 1.6k 1.3× 153 0.2× 308 0.4× 305 0.4× 114 0.2× 39 3.4k

Countries citing papers authored by Thomas Moore‐Morris

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Moore‐Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Moore‐Morris. 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 Thomas Moore‐Morris. The network helps show where Thomas Moore‐Morris may publish in the future.

Co-authorship network of co-authors of Thomas Moore‐Morris

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Moore‐Morris. A scholar is included among the top collaborators of Thomas Moore‐Morris 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 Thomas Moore‐Morris. Thomas Moore‐Morris 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.
Moore‐Morris, Thomas, et al.. (2025). Left atrial reservoir strain as a predictor of cardiac dysfunction in a murine model of pressure overload. Acta Physiologica. 241(2). e14277–e14277. 1 indexed citations
2.
Aguiar, Marta Gontijo, Clésia C. Nascentes, Artur Santos‐Miranda, et al.. (2025). Liposomal Encapsulation of Tartar Emetic Improves Pharmacokinetic Profile and Mitigates Cardiotoxicity in Murine Experimental Model. Pharmaceutics. 17(9). 1109–1109.
3.
Barc, Julien, Floriane Simonet, Estelle Baron, et al.. (2024). Role of common variants and new genes associated with arrhythmogenic cardiomyopathy. European Heart Journal. 45(Supplement_1). 1 indexed citations
4.
Odelin, Gaëlle, et al.. (2023). Nipbl Haploinsufficiency Leads to Delayed Outflow Tract Septation and Aortic Valve Thickening. International Journal of Molecular Sciences. 24(21). 15564–15564. 1 indexed citations
5.
Faucherre, Adèle, et al.. (2022). The regenerative response of cardiac interstitial cells. Journal of Molecular Cell Biology. 14(10). 9 indexed citations
6.
Suffee, Nadine, Thomas Moore‐Morris, Bernd Jagla, et al.. (2020). Reactivation of the Epicardium at the Origin of Myocardial Fibro-Fatty Infiltration During the Atrial Cardiomyopathy. Circulation Research. 126(10). 1330–1342. 59 indexed citations
7.
Guimarães‐Camboa, Nuno, Paola Cattaneo, Yunfu Sun, et al.. (2017). Pericytes of Multiple Organs Do Not Behave as Mesenchymal Stem Cells In Vivo. Cell stem cell. 20(3). 345–359.e5. 361 indexed citations breakdown →
8.
Moore‐Morris, Thomas, Paola Cattaneo, Michel Pucéat, & Sylvia Μ. Evans. (2015). Origins of cardiac fibroblasts. Journal of Molecular and Cellular Cardiology. 91. 1–5. 108 indexed citations
9.
Abboud, Nesrine, Thomas Moore‐Morris, Henry Yang, et al.. (2015). A cohesin–OCT4 complex mediates Sox enhancers to prime an early embryonic lineage. Nature Communications. 6(1). 6749–6749. 21 indexed citations
10.
Gouadon, Elodie, Thomas Moore‐Morris, Lucienne Chatenoud, et al.. (2015). Concise Review: Pluripotent Stem Cell-Derived Cardiac Cells, A Promising Cell Source for Therapy of Heart Failure: Where Do We Stand?. Stem Cells. 34(1). 34–43. 20 indexed citations
11.
Iwaisako, Keiko, Chunyan Jiang, Mingjun Zhang, et al.. (2014). Origin of myofibroblasts in the fibrotic liver in mice. Proceedings of the National Academy of Sciences. 111(32). E3297–305. 411 indexed citations breakdown →
12.
Moore‐Morris, Thomas, Nuno Guimarães‐Camboa, Indroneal Banerjee, et al.. (2014). Resident fibroblast lineages mediate pressure overload–induced cardiac fibrosis. Journal of Clinical Investigation. 124(7). 2921–2934. 486 indexed citations breakdown →
13.
Banerjee, Indroneal, Jianlin Zhang, Thomas Moore‐Morris, et al.. (2014). Targeted Ablation of Nesprin 1 and Nesprin 2 from Murine Myocardium Results in Cardiomyopathy, Altered Nuclear Morphology and Inhibition of the Biomechanical Gene Response. PLoS Genetics. 10(2). e1004114–e1004114. 116 indexed citations
14.
Banerjee, Indroneal, Thomas Moore‐Morris, Sylvia Μ. Evans, & Ju Chen. (2013). Thymosin β4 Is Not Required for Embryonic Viability or Vascular Development. Circulation Research. 112(3). e25–8. 14 indexed citations
15.
Ehler, Elisabeth, Thomas Moore‐Morris, & Stephan Lange. (2013). Isolation and Culture of Neonatal Mouse Cardiomyocytes. Journal of Visualized Experiments. 147 indexed citations
16.
Kisseleva, Tatiana, Min Cong, Yong‐Han Paik, et al.. (2012). Myofibroblasts revert to an inactive phenotype during regression of liver fibrosis. Proceedings of the National Academy of Sciences. 109(24). 9448–9453. 615 indexed citations breakdown →
17.
Bishop, David J., Claire Thomas, Thomas Moore‐Morris, et al.. (2010). Sodium bicarbonate ingestion prior to training improves mitochondrial adaptations in rats. American Journal of Physiology-Endocrinology and Metabolism. 299(2). E225–E233. 42 indexed citations
18.
Moore‐Morris, Thomas, Annie Varrault, Matteo E. Mangoni, et al.. (2009). Identification of Potential Pharmacological Targets by Analysis of the Comprehensive G Protein-Coupled Receptor Repertoire in the Four Cardiac Chambers. Molecular Pharmacology. 75(5). 1108–1116. 26 indexed citations
19.
Roubille, François, G. Gahide, Mathieu Granier, et al.. (2008). Likely Tuberculous Myocarditis Mimicking an Acute Coronary Syndrome. Internal Medicine. 47(19). 1699–1701. 5 indexed citations
20.
Thomas, Claire, David J. Bishop, Thomas Moore‐Morris, & Jacques Mercier. (2007). Effects of high-intensity training on MCT1, MCT4, and NBC expressions in rat skeletal muscles: influence of chronic metabolic alkalosis. American Journal of Physiology-Endocrinology and Metabolism. 293(4). E916–E922. 61 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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