David W. Lawrence

1.2k total citations
33 papers, 702 citations indexed

About

David W. Lawrence is a scholar working on Epidemiology, Emergency Medicine and Clinical Psychology. According to data from OpenAlex, David W. Lawrence has authored 33 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Epidemiology, 13 papers in Emergency Medicine and 9 papers in Clinical Psychology. Recurrent topics in David W. Lawrence's work include Traumatic Brain Injury Research (21 papers), Cardiac Arrest and Resuscitation (9 papers) and Traumatic Brain Injury and Neurovascular Disturbances (8 papers). David W. Lawrence is often cited by papers focused on Traumatic Brain Injury Research (21 papers), Cardiac Arrest and Resuscitation (9 papers) and Traumatic Brain Injury and Neurovascular Disturbances (8 papers). David W. Lawrence collaborates with scholars based in Canada, United States and United Kingdom. David W. Lawrence's co-authors include Michael G. Hutchison, Paul Comper, Bhanu Sharma, Doug Richards, Roland R. Griffiths, Robin Carhart‐Harris, Christopher Timmermann, Jane S Thornton, Heather M. MacKenzie and Pierre Frémont and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

David W. Lawrence

32 papers receiving 689 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David W. Lawrence Canada 15 433 239 207 163 112 33 702
Dean M. Cordingley Canada 13 744 1.7× 443 1.9× 401 1.9× 104 0.6× 151 1.3× 32 1.0k
Christian LoBue United States 14 412 1.0× 202 0.8× 341 1.6× 15 0.1× 28 0.3× 47 625
Julie C. Chapman United States 7 239 0.6× 81 0.3× 134 0.6× 30 0.2× 84 0.8× 9 385
Mazlina Mazlan Malaysia 12 109 0.3× 65 0.3× 125 0.6× 13 0.1× 35 0.3× 52 462
Mark A. Newman United States 9 60 0.1× 29 0.1× 77 0.4× 20 0.1× 49 0.4× 29 418
Richard Delmonico United States 10 390 0.9× 257 1.1× 172 0.8× 4 0.0× 22 0.2× 15 576
Aparna Sodhi United States 7 84 0.2× 52 0.2× 97 0.5× 7 0.0× 49 0.4× 15 468
Christine Short Canada 10 34 0.1× 50 0.2× 61 0.3× 14 0.1× 42 0.4× 13 503
Tom Ten Have United States 9 73 0.2× 17 0.1× 331 1.6× 16 0.1× 19 0.2× 17 629
Ellen L. Halpern United States 6 176 0.4× 95 0.4× 102 0.5× 7 0.0× 14 0.1× 6 339

Countries citing papers authored by David W. Lawrence

Since Specialization
Citations

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

Fields of papers citing papers by David W. Lawrence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David W. Lawrence. 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 David W. Lawrence. The network helps show where David W. Lawrence may publish in the future.

Co-authorship network of co-authors of David W. Lawrence

This figure shows the co-authorship network connecting the top 25 collaborators of David W. Lawrence. A scholar is included among the top collaborators of David W. Lawrence 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 David W. Lawrence. David W. Lawrence 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
1.
Eagle, Shawn R., et al.. (2024). The role of nutrition in mild traumatic brain injury rehabilitation for service members and veterans. Neurorehabilitation. 55(3). 281–294. 2 indexed citations
2.
Battista, Alex P. Di, et al.. (2024). A Multimodal Exertional Test for concussion: a pilot study in healthy athletes. Frontiers in Neurology. 15. 1390016–1390016. 1 indexed citations
3.
Comper, Paul, Laura Langer, Catherine Wiseman‐Hakes, et al.. (2023). The Toronto Concussion Study: a prospective investigation of characteristics in a cohort of adults from the general population seeking care following acute concussion, 2016–2020. Frontiers in Neurology. 14. 1152504–1152504. 7 indexed citations
4.
5.
Langer, Laura, et al.. (2022). Medical Care Among Individuals with a Concussion in Ontario: A Population-based Study. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 51(1). 87–97. 4 indexed citations
6.
7.
Lawrence, David W., Robin Carhart‐Harris, Roland R. Griffiths, & Christopher Timmermann. (2022). Phenomenology and content of the inhaled N, N-dimethyltryptamine (N, N-DMT) experience. Scientific Reports. 12(1). 8562–8562. 39 indexed citations
8.
Langer, Laura, Mohammad Alavinia, David W. Lawrence, et al.. (2021). Prediction of risk of prolonged post-concussion symptoms: Derivation and validation of the TRICORDRR (Toronto Rehabilitation Institute Concussion Outcome Determination and Rehab Recommendations) score. PLoS Medicine. 18(7). e1003652–e1003652. 37 indexed citations
9.
Battista, Alex P. Di, Shawn G. Rhind, Nathan W. Churchill, et al.. (2019). Peripheral blood neuroendocrine hormones are associated with clinical indices of sport-related concussion. Scientific Reports. 9(1). 18605–18605. 22 indexed citations
10.
Lawrence, David W., et al.. (2019). Cannabis, alcohol and cigarette use during the acute post-concussion period. Brain Injury. 34(1). 42–51. 15 indexed citations
11.
Lawrence, David W., Doug Richards, Paul Comper, & Michael G. Hutchison. (2018). Earlier time to aerobic exercise is associated with faster recovery following acute sport concussion. PLoS ONE. 13(4). e0196062–e0196062. 81 indexed citations
12.
Sharma, Bhanu, David W. Lawrence, & Michael G. Hutchison. (2017). Branched Chain Amino Acids (BCAAs) and Traumatic Brain Injury: A Systematic Review. Journal of Head Trauma Rehabilitation. 33(1). 33–45. 34 indexed citations
13.
Lawrence, David W.. (2017). Sociodemographic profile of an Olympic team. Public Health. 148. 149–158. 14 indexed citations
14.
Lawrence, David W. & Bhanu Sharma. (2016). A review of the neuroprotective role of vitamin D in traumatic brain injury with implications for supplementation post-concussion. Brain Injury. 30(8). 960–968. 31 indexed citations
15.
Lawrence, David W., Paul Comper, & Michael G. Hutchison. (2016). Influence of Extrinsic Risk Factors on National Football League Injury Rates. Orthopaedic Journal of Sports Medicine. 4(3). 1807686646–1807686646. 29 indexed citations
16.
Lawrence, David W., Michael G. Hutchison, & Paul Comper. (2015). Descriptive Epidemiology of Musculoskeletal Injuries and Concussions in the National Football League, 2012-2014. Orthopaedic Journal of Sports Medicine. 3(5). 1806631077–1806631077. 76 indexed citations
17.
Sharma, Bhanu & David W. Lawrence. (2014). Top-Cited Articles in Traumatic Brain Injury. Frontiers in Human Neuroscience. 8. 879–879. 33 indexed citations
18.
Cusimano, Michael D., et al.. (2013). Trends in North American Newspaper Reporting of Brain Injury in Ice Hockey. PLoS ONE. 8(4). e61865–e61865. 28 indexed citations
19.
Lawrence, David W., et al.. (2013). Interrater Agreement of an Observational Tool to Code Knockouts and Technical Knockouts in Mixed Martial Arts. Clinical Journal of Sport Medicine. 24(5). 397–402. 10 indexed citations
20.
Hutchison, Michael G., et al.. (2013). Comprehensive analysis of ‘knockouts’ in Mixed Martial Arts (MMA). British Journal of Sports Medicine. 47(5). e1.33–e1. 2 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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