Matt Kelly

7.0k total citations · 1 hit paper
139 papers, 3.8k citations indexed

About

Matt Kelly is a scholar working on Epidemiology, Hepatology and Genetics. According to data from OpenAlex, Matt Kelly has authored 139 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Epidemiology, 33 papers in Hepatology and 28 papers in Genetics. Recurrent topics in Matt Kelly's work include Liver Disease Diagnosis and Treatment (42 papers), Genetic and phenotypic traits in livestock (26 papers) and Liver Disease and Transplantation (20 papers). Matt Kelly is often cited by papers focused on Liver Disease Diagnosis and Treatment (42 papers), Genetic and phenotypic traits in livestock (26 papers) and Liver Disease and Transplantation (20 papers). Matt Kelly collaborates with scholars based in United Kingdom, Australia and United States. Matt Kelly's co-authors include Rajarshi Banerjee, Stefan Neubauer, Christopher Semsarian, Michael Pavlides, Katarzyna Bloch, David Robert Grimes, Mike Partridge, S. S. Moore, Andrea Dennis and Marina R. S. Fortes and has published in prestigious journals such as The Lancet, Circulation and Nature Communications.

In The Last Decade

Matt Kelly

131 papers receiving 3.7k citations

Hit Papers

Multi-organ impairment and long COVID: a 1-year prospecti... 2023 2026 2024 2025 2023 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matt Kelly United Kingdom 35 1.3k 807 686 671 429 139 3.8k
Matteo Iannacone Italy 36 1.5k 1.2× 988 1.2× 1.4k 2.1× 367 0.5× 301 0.7× 98 6.2k
David Peterson United States 32 1.2k 0.9× 1.2k 1.4× 868 1.3× 187 0.3× 402 0.9× 112 4.0k
Michael Bitzer Germany 43 991 0.8× 413 0.5× 1.5k 2.2× 719 1.1× 386 0.9× 198 5.6k
Martin Braddock United Kingdom 37 715 0.6× 358 0.4× 1.4k 2.0× 216 0.3× 307 0.7× 131 3.7k
Christian Müller Germany 28 699 0.5× 700 0.9× 825 1.2× 179 0.3× 210 0.5× 90 2.7k
Pieter Demetter Belgium 43 993 0.8× 480 0.6× 1.8k 2.6× 643 1.0× 940 2.2× 199 6.4k
You Lü China 41 612 0.5× 236 0.3× 2.6k 3.9× 1.3k 1.9× 1.0k 2.4× 263 7.0k
Susan Davies United Kingdom 28 546 0.4× 582 0.7× 972 1.4× 336 0.5× 442 1.0× 52 2.9k
Katherine A. Siminovitch Canada 52 753 0.6× 251 0.3× 3.6k 5.3× 1.6k 2.3× 315 0.7× 136 8.8k
Laura Beretta United States 41 1.4k 1.1× 1.1k 1.4× 3.2k 4.6× 259 0.4× 1.0k 2.4× 109 5.8k

Countries citing papers authored by Matt Kelly

Since Specialization
Citations

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

Fields of papers citing papers by Matt Kelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matt Kelly

This figure shows the co-authorship network connecting the top 25 collaborators of Matt Kelly. A scholar is included among the top collaborators of Matt Kelly 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 Matt Kelly. Matt Kelly 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
2.
Dennis, Andrea, Daniel J. Cuthbertson, Dan Wootton, et al.. (2023). Multi-organ impairment and long COVID: a 1-year prospective, longitudinal cohort study. Journal of the Royal Society of Medicine. 116(3). 97–112. 59 indexed citations breakdown →
3.
Saito, Kenji, Matt Kelly, Yue Deng, et al.. (2022). Hypomorphism of a Novel Long ERα Isoform Causes Severe Reproductive Dysfunctions in Female Mice. Endocrinology. 163(12). 3 indexed citations
4.
Welsh, Fenella K.S., John Connell, Matt Kelly, et al.. (2022). Precision medicine for liver tumours with quantitative MRI and whole genome sequencing (Precision1 trial): study protocol for observational cohort study. BMJ Open. 12(4). e057163–e057163. 2 indexed citations
5.
Shumbayawonda, Elizabeth, Helena Thomaides‐Brears, Filipe Caseiro‐Alves, et al.. (2020). The Effect of Multi-Parametric Magnetic Resonance Imaging in Standard of Care for Nonalcoholic Fatty Liver Disease: Protocol for a Randomized Control Trial. JMIR Research Protocols. 9(10). e19189–e19189. 4 indexed citations
7.
Hodson, James, Peter Eddowes, Matt Kelly, et al.. (2018). Cross-Sectional, Prospective, Evaluation of the Utility of Multi-Parametric MRI Imaging in Predicting Clinically Meaningful Outcomes in Autoimmune Hepatitis.. Hepatology. 68. 1 indexed citations
8.
McDonald, Natasha, Peter Eddowes, James Hodson, et al.. (2018). Multiparametric magnetic resonance imaging for quantitation of liver disease: a two-centre cross-sectional observational study. Scientific Reports. 8(1). 9189–9189. 59 indexed citations
9.
Kelly, Matt, Charlotte Hooper, Arash Yavari, et al.. (2018). Mutant Muscle LIM Protein C58G causes cardiomyopathy through protein depletion. Journal of Molecular and Cellular Cardiology. 121. 287–296. 15 indexed citations
10.
Mojtahed, Amirkasra, Matt Kelly, Amy H. Herlihy, et al.. (2018). Reference range of liver corrected T1 values in a population at low risk for fatty liver disease—a UK Biobank sub-study, with an appendix of interesting cases. Abdominal Radiology. 44(1). 72–84. 60 indexed citations
11.
Camargo, Gregório Miguel Ferreira de, Laércio R. Porto-Neto, Matt Kelly, et al.. (2015). Non-synonymous mutations mapped to chromosome X associated with andrological and growth traits in beef cattle. BMC Genomics. 16(1). 384–384. 33 indexed citations
12.
Gehmlich, Katja, Michael S. Dodd, J. William Allwood, et al.. (2014). Changes in the cardiac metabolome caused by perhexiline treatment in a mouse model of hypertrophic cardiomyopathy. Molecular BioSystems. 11(2). 564–573. 38 indexed citations
13.
Piper, E.K., et al.. (2014). Determining the number of animals required to accurately determine breed composition using genomic data. Proceedings of the World Congress on Genetics Applied to Livestock Production. 729. 3 indexed citations
14.
Kelly, Matt, Emmanouil Fokas, Pavitra Kannan, et al.. (2014). Regulation of O2 consumption by the PI3K and mTOR pathways contributes to tumor hypoxia. Radiotherapy and Oncology. 111(1). 72–80. 36 indexed citations
15.
Shakespeare, David, et al.. (2013). Campaign best practice in intravenous therapy.. PubMed. 109(33-34). 22–3. 2 indexed citations
16.
Lu, Duc, Mehdi Sargolzaei, Matt Kelly, et al.. (2013). Genome-wide association analyses for carcass quality in crossbred beef cattle. BMC Genetics. 14(1). 80–80. 31 indexed citations
17.
Kelly, Matt, Duc Lu, & Steven P. Miller. (2009). Comparison of methods for preparing feed intake records for analysis of average daily intake from an automated feed intake monitoring system. Canadian Journal of Animal Science. 89(1). 179–179. 1 indexed citations
18.
Kelly, Matt & Ricardo L. Mancera. (2003). A new method for estimating the importance of hydrogen-bonding groups in the binding site of a protein. Journal of Computer-Aided Molecular Design. 17(7). 401–414. 8 indexed citations
19.
Frisch, J. E., C. J. O’Neill, & Matt Kelly. (2000). Using genetics to control cattle parasites—the Rockhampton experience. International Journal for Parasitology. 30(3). 253–264. 54 indexed citations
20.
Thorpe, S. A., Matt Kelly, James R. Startin, N. Harrison, & Martin Rose. (1999). Residue depletion study of PCDDs and PCDFs in dosed beef cattle. Research Explorer (The University of Manchester). 43. 405–408. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026