Matthew Fenech

1.3k total citations
22 papers, 748 citations indexed

About

Matthew Fenech is a scholar working on General Health Professions, Health Informatics and Epidemiology. According to data from OpenAlex, Matthew Fenech has authored 22 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in General Health Professions, 4 papers in Health Informatics and 4 papers in Epidemiology. Recurrent topics in Matthew Fenech's work include Artificial Intelligence in Healthcare and Education (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Bone and Joint Diseases (3 papers). Matthew Fenech is often cited by papers focused on Artificial Intelligence in Healthcare and Education (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Bone and Joint Diseases (3 papers). Matthew Fenech collaborates with scholars based in United Kingdom, Germany and Switzerland. Matthew Fenech's co-authors include Myrsini Kaforou, Steven J. Millership, Saverio Cinti, Yi‐Wah Chan, Edith Blackburn, Andrea Frontini, Jonathan D. Moore, Meritxell Rosell, Mark Christian and David A. MacIntyre and has published in prestigious journals such as The Lancet, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Matthew Fenech

17 papers receiving 743 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Fenech United Kingdom 10 298 191 187 149 97 22 748
Fuhai Ma China 16 56 0.2× 58 0.3× 135 0.7× 19 0.1× 79 0.8× 62 775
Bomi Kim South Korea 16 78 0.3× 72 0.4× 143 0.8× 27 0.2× 75 0.8× 52 678
Pradeep Kumar India 17 55 0.2× 204 1.1× 196 1.0× 58 0.4× 87 0.9× 88 832
Michelle J. Ormseth United States 20 107 0.4× 116 0.6× 368 2.0× 129 0.9× 256 2.6× 42 1.1k
Rana Malek United States 12 379 1.3× 257 1.3× 358 1.9× 15 0.1× 92 0.9× 40 1.1k
Daniel Housa Czechia 12 213 0.7× 452 2.4× 265 1.4× 51 0.3× 107 1.1× 18 969
Tommaso Fasano Italy 17 87 0.3× 56 0.3× 153 0.8× 22 0.1× 130 1.3× 41 886
Baoyi Guan China 9 58 0.2× 90 0.5× 223 1.2× 8 0.1× 83 0.9× 18 558
Helén Brogren Sweden 9 68 0.2× 104 0.5× 113 0.6× 172 1.2× 126 1.3× 11 542

Countries citing papers authored by Matthew Fenech

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Fenech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Fenech

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Fenech. A scholar is included among the top collaborators of Matthew Fenech 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 Matthew Fenech. Matthew Fenech 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.
Fenech, Matthew, et al.. (2024). A transparent and standardized performance measurement platform is needed for on-prescription digital health apps to enable ongoing performance monitoring. SHILAP Revista de lepidopterología. 3(11). e0000656–e0000656. 3 indexed citations
3.
Peven, Kimberly, Yusuf Cem Kaplan, Adam Cunningham, et al.. (2023). Assessment of a Digital Symptom Checker Tool's Accuracy in Suggesting Reproductive Health Conditions: Clinical Vignettes Study. JMIR mhealth and uhealth. 11. e46718–e46718. 4 indexed citations
5.
Fenech, Matthew, et al.. (2023). A rare case of orbital inflammation complicated by hemophagocytic lymphohistiocytosis. Orbit. 43(6). 751–754.
7.
Gilbert, Stephen, et al.. (2021). Quality of condition suggestions and urgency advice provided by the Ada symptom assessment app evaluated with vignettes optimised for Australia*. Australian Journal of Primary Health. 27(5). 377–381. 10 indexed citations
8.
Gilbert, Stephen, et al.. (2021). Algorithm Change Protocols in the Regulation of Adaptive Machine Learning–Based Medical Devices. Journal of Medical Internet Research. 23(10). e30545–e30545. 38 indexed citations
9.
Multmeier, Jan, et al.. (2021). Do Dr. Google and Health Apps Have (Comparable) Side Effects? An Experimental Study. Clinical Psychological Science. 9(4). 761–762.
10.
Fenech, Matthew, et al.. (2020). AI in Cardiac Imaging: A UK-Based Perspective on Addressing the Ethical, Social, and Political Challenges. Frontiers in Cardiovascular Medicine. 7. 54–54. 19 indexed citations
11.
Shafat, Manar, Thomas Oellerich, Sebastian Mohr, et al.. (2017). Leukemic blasts program bone marrow adipocytes to generate a protumoral microenvironment. Blood. 129(10). 1320–1332. 252 indexed citations
12.
Shafat, Manar, Thomas Oellerich, Sebastian Mohr, et al.. (2017). Abstract 4327: Bone marrow adipocytes drive transcriptional changes in leukemic blasts to enhance their capacity to derive energy from free fatty acid metabolism. Cancer Research. 77(13_Supplement). 4327–4327. 1 indexed citations
13.
Fenech, Matthew, et al.. (2016). Possible risk factors for the development of sodium-glucose co-transporter 2 inhibitor- associated diabetic ketoacidosis in type 2 diabetes. British Journal of Diabetes. 16(2). 78–78. 4 indexed citations
14.
Shafat, Manar, Matthew Fenech, Amina Abdul‐Aziz, et al.. (2015). FABP4 Regulates Fatty Acid Transfer from Bone Marrow Adipocytes to Acute Myeloid Leukemia Blasts. Blood. 126(23). 3065–3065.
15.
Fenech, Matthew, Jelena Gavrilović, & Jeremy Turner. (2015). Effect of tissue inhibitor of metalloproteinases 3 on DLK1 shedding in cultured human pre-adipocytes and implications for adipose tissue remodelling. The Lancet. 385. S35–S35. 14 indexed citations
16.
Fenech, Matthew, Jelena Gavrilović, Paul Malcolm, Andoni P. Toms, & Jeremy Turner. (2015). The role of metalloproteinases and their tissue inhibitors in adipose tissue remodelling and whole-body lipid distribution: a cross-sectional clinical study. The Lancet. 385. S36–S36. 8 indexed citations
17.
Rosell, Meritxell, Myrsini Kaforou, Andrea Frontini, et al.. (2014). Brown and white adipose tissues: intrinsic differences in gene expression and response to cold exposure in mice. American Journal of Physiology-Endocrinology and Metabolism. 306(8). E945–E964. 302 indexed citations
18.
Mackay, James, et al.. (2012). Acute rhabdomyolysis caused by combination therapy with atorvastatin and warfarin. British Journal of Hospital Medicine. 73(2). 106–107. 12 indexed citations
19.
Bachmann, Max, et al.. (2012). Use of haemoglobin A1c to detect impaired fasting glucose or Type 2 diabetes in a United Kingdom community based population. Diabetes Research and Clinical Practice. 96(2). 211–216. 19 indexed citations
20.
Fenech, Matthew, et al.. (2009). Science of Self-Preservation. Circulation. 120(22). 2260–2268. 27 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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