Michael Catt

5.2k total citations · 2 hit papers
48 papers, 3.3k citations indexed

About

Michael Catt is a scholar working on Physiology, Public Health, Environmental and Occupational Health and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael Catt has authored 48 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Physiology, 10 papers in Public Health, Environmental and Occupational Health and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael Catt's work include Physical Activity and Health (12 papers), Obesity, Physical Activity, Diet (9 papers) and Balance, Gait, and Falls Prevention (6 papers). Michael Catt is often cited by papers focused on Physical Activity and Health (12 papers), Obesity, Physical Activity, Diet (9 papers) and Balance, Gait, and Falls Prevention (6 papers). Michael Catt collaborates with scholars based in United Kingdom, Australia and Netherlands. Michael Catt's co-authors include Peter Murray, Tina Hurst, Michael I. Trenell, Roger Eston, Alex V. Rowlands, Dale Esliger, Sophie Cassidy, Vincent T. van Hees, Kirstie N. Anderson and Jaspreet Singh Sodhi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hypertension.

In The Last Decade

Michael Catt

48 papers receiving 3.2k citations

Hit Papers

align trajectories

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.

Validation of the GENEA Accelerometer

2010 478 citations Alex V. Rowlands, Michael Catt et al. Medicine & Science in Sports & Exercise profile →
A Novel, Open Access Method to Assess Sleep Duration Using a Wrist-Worn Accelerometer

2015 440 citations Vincent T. van Hees, Sèverine Sabia et al. PLoS ONE profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Catt United Kingdom	23	1.4k	894	670	471	309	48	3.3k
Borja del Pozo Cruz Spain	41	1.8k 1.3×	1.2k 1.3×	611 0.9×	352 0.7×	362 1.2×	172	5.1k
Jeffer Eidi Sasaki Brazil	24	1.5k 1.1×	897 1.0×	472 0.7×	175 0.4×	158 0.5×	121	3.1k
Wojtek Chodzko-Zajko United States	22	2.9k 2.0×	863 1.0×	771 1.2×	220 0.5×	318 1.0×	82	5.6k
Jason Fanning United States	28	1.0k 0.7×	450 0.5×	602 0.9×	254 0.5×	95 0.3×	123	3.0k
Po‐Wen Ku Taiwan	29	1.0k 0.7×	675 0.8×	431 0.6×	306 0.6×	68 0.2×	89	2.3k
Kelley Pettee Gabriel United States	35	1.7k 1.2×	1.5k 1.6×	660 1.0×	315 0.7×	70 0.2×	230	4.2k
Jean F. Wyman United States	49	563 0.4×	783 0.9×	1.4k 2.1×	129 0.3×	322 1.0×	194	9.7k
Hyuntae Park Japan	47	2.3k 1.6×	839 0.9×	492 0.7×	279 0.6×	956 3.1×	229	7.1k
Iván Cavero‐Redondo Spain	38	1.3k 0.9×	1.8k 2.0×	671 1.0×	173 0.4×	116 0.4×	230	5.7k
José A. Casajús Spain	45	2.2k 1.5×	1.9k 2.1×	727 1.1×	184 0.4×	250 0.8×	255	6.3k

Countries citing papers authored by Michael Catt

Since Specialization

Citations

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

Fields of papers citing papers by Michael Catt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Catt

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Catt. A scholar is included among the top collaborators of Michael Catt 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 Michael Catt. Michael Catt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mehrnezhad, Maryam, Thyla van der Merwe, & Michael Catt. (2024). Mind the FemTech gap: regulation failings and exploitative systems. SHILAP Revista de lepidopterología. 3. 7 indexed citations

Koulman, Albert, et al.. (2022). The development, validation and application of remote blood sample collection in telehealth programmes. Journal of Telemedicine and Telecare. 30(4). 731–738. 17 indexed citations

Cassidy, Sophie, Hugo Hiden, Simon Woodman, et al.. (2021). Exploration of Sleep as a Specific Risk Factor for Poor Metabolic and Mental Health: A UK Biobank Study of 84,404 Participants. Nature and Science of Sleep. Volume 13. 1903–1912. 27 indexed citations

Knittle, Keegan, Sarah J. Charman, Sophie O'Connell, et al.. (2021). Movement as Medicine for Cardiovascular Disease Prevention: Pilot Feasibility Study of a Physical Activity Promotion Intervention for At-Risk Patients in Primary Care. JMIR Cardio. 6(1). e29035–e29035. 1 indexed citations

Catt, Michael, et al.. (2021). Using Wearable Activity Trackers to Predict Type 2 Diabetes: Machine Learning–Based Cross-sectional Study of the UK Biobank Accelerometer Cohort. JMIR Diabetes. 6(1). e23364–e23364. 22 indexed citations

Catt, Michael, Sophie Cassidy, Mark A. Birch‐Machin, et al.. (2019). Objective sleep assessment in >80,000 UK mid-life adults: Associations with sociodemographic characteristics, physical activity and caffeine. PLoS ONE. 14(12). e0226220–e0226220. 31 indexed citations

Şahin, Samet, et al.. (2018). Simultaneous Electrochemical Detection of Glucose and Non-Esterified Fatty Acids (NEFAs) for Diabetes Management. IEEE Sensors Journal. 18(22). 9075–9080. 13 indexed citations

Şahin, Samet, et al.. (2017). Electrochemical Detection of Plasma Immunoglobulin as a Biomarker for Alzheimer’s Disease. Sensors. 17(11). 2464–2464. 27 indexed citations

Cassidy, Sophie, Josephine Y. Chau, Michael Catt, Adrian Bauman, & Michael I. Trenell. (2016). Cross-sectional study of diet, physical activity, television viewing and sleep duration in 233 110 adults from the UK Biobank; the behavioural phenotype of cardiovascular disease and type 2 diabetes. BMJ Open. 6(3). e010038–e010038. 150 indexed citations

10.

Hees, Vincent T. van, Sèverine Sabia, Kirstie N. Anderson, et al.. (2015). A Novel, Open Access Method to Assess Sleep Duration Using a Wrist-Worn Accelerometer. PLoS ONE. 10(11). e0142533–e0142533. 440 indexed citations breakdown →

11.

Catt, Michael, Joanna Collerton, Karen Davies, et al.. (2015). A comparison of subjective and objective measures of physical activity from the Newcastle 85+ study. Age and Ageing. 44(4). 691–694. 56 indexed citations

12.

Wiley, Laura, Deepthi Ashok, Carmen Martín-Ruiz, et al.. (2014). Reactive Oxygen Species Production and Mitochondrial Dysfunction in White Blood Cells Are Not Valid Biomarkers of Ageing in the Very Old. PLoS ONE. 9(3). e91005–e91005. 10 indexed citations

13.

Rowlands, Alex V., François Fraysse, Michael Catt, et al.. (2014). Comparability of Measured Acceleration from Accelerometry-Based Activity Monitors. Medicine & Science in Sports & Exercise. 47(1). 201–210. 51 indexed citations

14.

Anderson, Kirstie N., Michael Catt, Joanna Collerton, et al.. (2013). Assessment of sleep and circadian rhythm disorders in the very old: the Newcastle 85+ Cohort Study. Age and Ageing. 43(1). 57–63. 34 indexed citations

15.

Zhang, Shaoyan, et al.. (2012). Activity Classification Using the GENEA. Medicine & Science in Sports & Exercise. 44(11). 2228–2234. 50 indexed citations

16.

Martín-Ruiz, Carmen, Carol Jagger, Andrew Kingston, et al.. (2011). Assessment of a large panel of candidate biomarkers of ageing in the Newcastle 85+ study. Mechanisms of Ageing and Development. 132(10). 496–502. 103 indexed citations

17.

Mayes, Andrew E., Peter Murray, David A. Gunn, et al.. (2010). Environmental and Lifestyle Factors Associated with Perceived Facial Age in Chinese Women. PLoS ONE. 5(12). e15270–e15270. 42 indexed citations

18.

Gunn, David A., et al.. (2009). Ageing appearance in China: biophysical profile of facial skin and its relationship to perceived age. Journal of the European Academy of Dermatology and Venereology. 24(3). 341–348. 59 indexed citations

19.

Gunn, David A., Helle Rexbye, C.E.M. Griffiths, et al.. (2009). Why Some Women Look Young for Their Age. PLoS ONE. 4(12). e8021–e8021. 161 indexed citations

20.

Franco, Oscar H., Kavita Karnik, Gabrielle Osborne, et al.. (2009). Changing course in ageing research: The Healthy Ageing Phenotype. Maturitas. 63(1). 13–19. 73 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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