Mark Grindle

1.4k total citations · 1 hit paper
15 papers, 831 citations indexed

About

Mark Grindle is a scholar working on General Health Professions, Cardiology and Cardiovascular Medicine and Clinical Psychology. According to data from OpenAlex, Mark Grindle has authored 15 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in General Health Professions, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Clinical Psychology. Recurrent topics in Mark Grindle's work include COVID-19 and Mental Health (3 papers), Behavioral Health and Interventions (3 papers) and Healthcare professionals’ stress and burnout (3 papers). Mark Grindle is often cited by papers focused on COVID-19 and Mental Health (3 papers), Behavioral Health and Interventions (3 papers) and Healthcare professionals’ stress and burnout (3 papers). Mark Grindle collaborates with scholars based in United Kingdom, Ireland and Canada. Mark Grindle's co-authors include Stephen J Leslie, Rob Polson, Johannes H. De Kock, Liz Ellis, Helen Ann Latham, Chris O’Malley, Hugo van Woerden, Maged N. Kamel Boulos, Trish Gorely and Andrew Elders and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and BMC Public Health.

In The Last Decade

Mark Grindle

14 papers receiving 807 citations

Hit Papers

A rapid review of the impact of COVID-19 on the mental he... 2021 2026 2022 2024 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Grindle United Kingdom 7 484 432 91 86 84 15 831
Ita Daryanti Saragih Taiwan 15 279 0.6× 332 0.8× 38 0.4× 59 0.7× 50 0.6× 50 792
Michael C Robertson United States 14 155 0.3× 223 0.5× 126 1.4× 125 1.5× 35 0.4× 44 664
David Villarreal‐Zegarra Peru 13 325 0.7× 177 0.4× 63 0.7× 28 0.3× 63 0.8× 63 703
Santo Imanuel Tonapa Taiwan 11 345 0.7× 320 0.7× 46 0.5× 43 0.5× 36 0.4× 23 681
Roberta Frontini Portugal 15 334 0.7× 145 0.3× 43 0.5× 29 0.3× 33 0.4× 54 758
Allison A. Lewinski United States 16 68 0.1× 360 0.8× 77 0.8× 30 0.3× 45 0.5× 53 757
Carly M. Goldstein United States 16 210 0.4× 279 0.6× 138 1.5× 15 0.2× 26 0.3× 45 972
Patricia Pérez-Rodríguez Spain 6 428 0.9× 205 0.5× 33 0.4× 75 0.9× 61 0.7× 10 931
Victoria Hilbert United States 12 89 0.2× 422 1.0× 344 3.8× 27 0.3× 61 0.7× 16 991
Jing Jing Su Hong Kong 13 73 0.2× 204 0.5× 51 0.6× 43 0.5× 37 0.4× 64 753

Countries citing papers authored by Mark Grindle

Since Specialization
Citations

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

Fields of papers citing papers by Mark Grindle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Grindle

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

All Works

15 of 15 papers shown
1.
Kamya, Sylvia, et al.. (2023). Cardiovascular disease behavioural risk factors in rural interventions: cross-sectional study. Scientific Reports. 13(1). 13376–13376. 4 indexed citations
2.
Farquharson, Barbara, Marie Johnston, Brian Williams, et al.. (2022). Reducing patient delay in acute coronary syndrome: Randomized controlled trial testing effect of behaviour change intervention on intentions to seek help. British Journal of Health Psychology. 28(1). 188–207. 4 indexed citations
3.
King, Emma, Helen Cheyne, Purva Abhyankar, et al.. (2022). Promoting smoking cessation during pregnancy: A feasibility and pilot trial of a digital storytelling intervention delivered via text‐messaging. Patient Education and Counseling. 105(7). 2562–2572. 6 indexed citations
4.
Kock, Johannes H. De, Helen Ann Latham, Stephen J Leslie, et al.. (2021). A rapid review of the impact of COVID-19 on the mental health of healthcare workers: implications for supporting psychological well-being. BMC Public Health. 21(1). 104–104. 540 indexed citations breakdown →
5.
Polson, Rob, et al.. (2021). Digital Storytelling Interventions for Cardiovascular Disease Risk Factor Modification: A Scoping Review. The International Journal of Health Wellness and Society. 11(1). 209–224. 3 indexed citations
6.
Dombrowski, Stephan U, Matthew McDonald, Marjon van der Pol, et al.. (2020). Game of Stones: feasibility randomised controlled trial of how to engage men with obesity in text message and incentive interventions for weight loss. BMJ Open. 10(2). e032653–e032653. 23 indexed citations
7.
McDonald, Matthew, Stephan U Dombrowski, Rebecca Skinner, et al.. (2020). Recruiting men from across the socioeconomic spectrum via GP registers and community outreach to a weight management feasibility randomised controlled trial. BMC Medical Research Methodology. 20(1). 249–249. 6 indexed citations
8.
Polson, Rob, et al.. (2020). Digital Technology Interventions for Risk Factor Modification in Patients With Cardiovascular Disease: Systematic Review and Meta-analysis. JMIR mhealth and uhealth. 9(3). e21061–e21061. 101 indexed citations
9.
Dombrowski, Stephan U, Matthew McDonald, Marjon van der Pol, et al.. (2020). Text messaging and financial incentives to encourage weight loss in men with obesity: the Game of Stones feasibility RCT. SHILAP Revista de lepidopterología. 8(11). 1–224. 6 indexed citations
10.
Kock, Johannes H. De, Helen Ann Latham, Stephen J Leslie, et al.. (2020). A rapid review of the impact of COVID-19 on the mental health of healthcare workers: implications for supporting psychological well-being . Research Square. 2 indexed citations
11.
Kock, Johannes H. De, Helen Ann Latham, Stephen J Leslie, et al.. (2020). A rapid review of the impact of COVID-19 on the mental health of health and social care workers: implications for psychological interventions. Research Square. 2 indexed citations
12.
Grindle, Mark, et al.. (2018). Head-Mounted Virtual Reality and Mental Health: Critical Review of Current Research. JMIR Serious Games. 6(3). e14–e14. 128 indexed citations
13.
Farquharson, Barbara, Marie Johnston, Karen Smith, et al.. (2016). Reducing patient delay in Acute Coronary Syndrome (RAPiD): research protocol for a web‐based randomized controlled trial examining the effect of a behaviour change intervention. Journal of Advanced Nursing. 73(5). 1220–1234. 3 indexed citations
14.
France, Emma F., et al.. (2015). WS05.5 Developing an audio-visual intervention to support children's adherence to home chest physiotherapy for cystic fibrosis. Journal of Cystic Fibrosis. 14. S10–S10. 2 indexed citations
15.
Hastings, Gerard, Roger Sugden, & Mark Grindle. (2011). Critical vision in a challenged world. Marketing Intelligence & Planning. 29(1). 30–38. 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.

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