Michelle Morris

4.2k total citations
117 papers, 2.6k citations indexed

About

Michelle Morris is a scholar working on Public Health, Environmental and Occupational Health, Cardiology and Cardiovascular Medicine and General Health Professions. According to data from OpenAlex, Michelle Morris has authored 117 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Public Health, Environmental and Occupational Health, 19 papers in Cardiology and Cardiovascular Medicine and 18 papers in General Health Professions. Recurrent topics in Michelle Morris's work include Nutritional Studies and Diet (28 papers), Obesity, Physical Activity, Diet (26 papers) and Cardiac, Anesthesia and Surgical Outcomes (15 papers). Michelle Morris is often cited by papers focused on Nutritional Studies and Diet (28 papers), Obesity, Physical Activity, Diet (26 papers) and Cardiac, Anesthesia and Surgical Outcomes (15 papers). Michelle Morris collaborates with scholars based in United Kingdom, United States and Australia. Michelle Morris's co-authors include Kevin K. Tremper, Sachin Kheterpal, Satya Krishna Ramachandran, Amy Shanks, Duncan Radley, Claire Griffiths, Janet Cade, Emma Wilkins, Darren C. Greenwood and Graham Clarke and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and The Science of The Total Environment.

In The Last Decade

Michelle Morris

107 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle Morris United Kingdom 28 861 503 490 454 404 117 2.6k
Małgorzata M Bała Poland 30 835 1.0× 465 0.9× 666 1.4× 179 0.4× 297 0.7× 138 3.4k
Stephen H. Thomas United States 38 774 0.9× 1.1k 2.2× 169 0.3× 489 1.1× 373 0.9× 302 5.2k
Mohammed Ansari Canada 22 432 0.5× 612 1.2× 195 0.4× 167 0.4× 288 0.7× 72 2.9k
Alison J. Thornton United Kingdom 18 321 0.4× 330 0.7× 384 0.8× 146 0.3× 116 0.3× 50 2.3k
Timothy Collier United Kingdom 34 487 0.6× 613 1.2× 268 0.5× 68 0.1× 1.1k 2.8× 80 3.8k
Yang Dong China 13 202 0.2× 913 1.8× 321 0.7× 128 0.3× 362 0.9× 50 4.0k
James P. Orlowski United States 25 689 0.8× 271 0.5× 108 0.2× 116 0.3× 112 0.3× 81 2.2k
B O’Brien Australia 32 572 0.7× 450 0.9× 584 1.2× 36 0.1× 326 0.8× 107 4.1k
Kim Lyngby Mikkelsen Denmark 26 431 0.5× 161 0.3× 755 1.5× 37 0.1× 350 0.9× 74 2.8k
Kathryn S Porter United States 11 639 0.7× 109 0.2× 341 0.7× 69 0.2× 222 0.5× 14 1.7k

Countries citing papers authored by Michelle Morris

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Morris

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Morris. A scholar is included among the top collaborators of Michelle 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 Michelle Morris. Michelle 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
3.
4.
Morris, Michelle, et al.. (2024). Harnessing digital footprint data for population health: a discussion on collaboration, challenges and opportunities in the UK. BMJ Health & Care Informatics. 31(1). e101119–e101119. 1 indexed citations
5.
Morris, Michelle, Christopher T. Franck, & Michael L. Madigan. (2024). Inertial measurement units worn on the dorsum of the foot and proximal to the ankle can provide valid slip recovery measures. Gait & Posture. 115. 59–63. 2 indexed citations
6.
Morris, Michelle, et al.. (2023). Identifying drivers of food insecurity through linked data- the Priority Places for Food Index. International Journal for Population Data Science. 8(3).
7.
Norman, Paul, et al.. (2023). Contrasting socio-economic influences on colorectal cancer incidence and survival in England and Wales. Social Science & Medicine. 333. 116138–116138. 9 indexed citations
8.
Moore, J. Bernadette, et al.. (2023). Supermarket top‐up of Healthy Start vouchers increases fruit and vegetable purchases in low‐income households. Nutrition Bulletin. 48(3). 353–364. 7 indexed citations
9.
Lomax, Nik, et al.. (2021). Characterisation of Temporal Patterns in Step Count Behaviour from Smartphone App Data: An Unsupervised Machine Learning Approach. International Journal of Environmental Research and Public Health. 18(21). 11476–11476. 8 indexed citations
10.
Morris, Michelle, et al.. (2021). Local and Application-Specific Geodemographics for Data-Led Urban Decision Making. Sustainability. 13(9). 4873–4873.
11.
Morris, Michelle, et al.. (2020). Assessing diet in a university student population: a longitudinal food card transaction data approach. British Journal Of Nutrition. 123(12). 1406–1414. 9 indexed citations
12.
Clark, Stephen, Mark Birkin, Nik Lomax, & Michelle Morris. (2020). Developing a whole systems obesity classification for the UK Biobank Cohort. RePEc: Research Papers in Economics. 2 indexed citations
13.
Clark, Stephen, Mark Birkin, Nik Lomax, & Michelle Morris. (2020). Can a data driven obesity classification system identify those at risk of severe COVID-19 in the UK Biobank cohort study?. OSF Preprints (OSF Preprints). 1 indexed citations
14.
Wilkins, Emma, Amy Downing, Adam Drewnowski, et al.. (2020). Evidence from big data in obesity research: international case studies. International Journal of Obesity. 44(5). 1028–1040. 3 indexed citations
15.
Chintakayala, Phani Kumar, William Young, Ralf Barkemeyer, & Michelle Morris. (2018). Breaking niche sustainable products into the mainstream: Organic milk and free‐range eggs. Business Strategy and the Environment. 27(7). 1039–1051. 20 indexed citations
16.
Morris, Michelle, et al.. (2018). Identifying Methods for Monitoring Foodborne Illness: Review of Existing Public Health Surveillance Techniques. JMIR Public Health and Surveillance. 4(2). e57–e57. 20 indexed citations
17.
Clark, Stephen, Michelle Morris, & Nik Lomax. (2018). Estimating the outcome of UKs referendum on EU membership using e-petition data and machine learning algorithms. Journal of Information Technology & Politics. 15(4). 344–357. 11 indexed citations
18.
Mashour, George A., Amy Shanks, Kevin K. Tremper, et al.. (2012). Prevention of Intraoperative Awareness with Explicit Recall in an Unselected Surgical Population. Anesthesiology. 117(4). 717–725. 146 indexed citations
19.
Mhyre, Jill M., Satya Krishna Ramachandran, Sachin Kheterpal, Michelle Morris, & Paul S. Chan. (2010). Delayed Time to Defibrillation after Intraoperative and Periprocedural Cardiac Arrest. Anesthesiology. 113(4). 782–793. 27 indexed citations
20.
Tremper, Kevin K., Amy Shanks, & Michelle Morris. (2006). Trends in the Financial Status of United States Anesthesiology Training Programs: 2000 to 2004. Anesthesia & Analgesia. 102(2). 517–523. 10 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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