Thomas Moore‐Morris

4.0k citations
30 papers · 3.0k indexed · 4 hit papers · h-index 20

Thomas Moore‐Morris

28 papers receiving 2.9k citations

Hit Papers

Pericytes of Multiple Organs Do Not Behave as Mesenchyma...3612012202620162021200400600

Peers

Thomas Moore‐Morris
Comparison fields: 5 of 108
  • Hepatology 692
  • Cardiology and Cardiovascular Medicine 837
  • Cell Biology 365
  • Genetics 230
  • Epidemiology 695
Replace Paul D. Upton with:
Paul D. Upton United Kingdom
Mohsin Khan United States
Iwao Kida Japan
Anuradha Natarajan Austria
Anne-Clémence Vion France
Junya Azuma Japan
Pawel Zerr Germany
Oleg Tarnavski United States
Paul Gadue United States
M Eghbali United States
Thomas Moore‐Morris relative to Paul D. Upton United Kingdom Paul D. Upton's profile →
Citations per field
00.5×2.9×
Paul D. Upton · 1×
Citations per year

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

The 25 scholars most cited alongside Thomas Moore‐Morris, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Moore‐Morris Line = papers co-authored together Thomas Moore‐Morris links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20241
4 20231
5 20229
6 202059
7
Pericytes of Multiple Organs Do Not Behave as Mesenchymal Stem Cells In Vivobreakdown →
2017361
8 2015108
9 201521
10 201599
11
Resident fibroblast lineages mediate pressure overload–induced cardiac fibrosisbreakdown →
2014486
12
Origin of myofibroblasts in the fibrotic liver in micebreakdown →
2014411
13 2014116
14 201314
15 2013147
16
Myofibroblasts revert to an inactive phenotype during regression of liver fibrosisbreakdown →
2012615
17 201042
18 200926
19 20085
20 200761

About Thomas Moore‐Morris

Thomas Moore‐Morris is a scholar working on Cardiology and Cardiovascular Medicine, Immunology and Allergy and Cell Biology, having authored 30 papers that have together received 3.0k indexed citations. Recurring topics across this work include Congenital heart defects research (8 papers), Tissue Engineering and Regenerative Medicine (5 papers), Cardiac Fibrosis and Remodeling (5 papers), Cardiovascular Function and Risk Factors (4 papers), Cardiac Structural Anomalies and Repair (4 papers), Cellular Mechanics and Interactions (3 papers), Adipose Tissue and Metabolism (3 papers) and Cardiovascular Disease and Adiposity (2 papers). The work is most often cited by research in Hepatology (692 citations), Cardiology and Cardiovascular Medicine (837 citations) and Cell Biology (365 citations). Thomas Moore‐Morris has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Sylvia Μ. Evans, Tatiana Kisseleva, David A. Brenner, Michel Pucéat, Nuno Guimarães‐Camboa, Nancy D. Dalton, Kirk L. Peterson, Yusu Gu, Christopher K. Glass and Min Cong. Their work appears in journals such as Circulation Research, Proceedings of the National Academy of Sciences, Journal of Visualized Experiments, American Journal of Physiology-Endocrinology and Metabolism and Stem Cells.

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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