S Lawrence

1.1k total citations
9 papers, 800 citations indexed

About

S Lawrence is a scholar working on Complementary and alternative medicine, Orthopedics and Sports Medicine and Cell Biology. According to data from OpenAlex, S Lawrence has authored 9 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Complementary and alternative medicine, 8 papers in Orthopedics and Sports Medicine and 6 papers in Cell Biology. Recurrent topics in S Lawrence's work include Sports Performance and Training (8 papers), Cardiovascular and exercise physiology (8 papers) and Muscle metabolism and nutrition (6 papers). S Lawrence is often cited by papers focused on Sports Performance and Training (8 papers), Cardiovascular and exercise physiology (8 papers) and Muscle metabolism and nutrition (6 papers). S Lawrence collaborates with scholars based in Australia, Serbia and United States. S Lawrence's co-authors include David J. Bishop, Carmél Goodman, Brian Dawson, Matt Spencer, Claire Rechichi, B. Dawson, David B. Preen, Ted Polglaze, Paul Fournier and Margaret G. Cutler and has published in prestigious journals such as Medicine & Science in Sports & Exercise, The Journals of Gerontology Series A and Journal of Sports Sciences.

In The Last Decade

S Lawrence

9 papers receiving 750 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S Lawrence Australia 8 676 301 226 162 103 9 800
Ted Polglaze Australia 16 722 1.1× 229 0.8× 121 0.5× 191 1.2× 138 1.3× 26 835
Hugh S. Lamont United States 15 714 1.1× 189 0.6× 189 0.8× 240 1.5× 86 0.8× 31 871
Claire Rechichi Australia 8 499 0.7× 140 0.5× 110 0.5× 127 0.8× 91 0.9× 9 593
J. Chavarren Spain 9 543 0.8× 287 1.0× 121 0.5× 172 1.1× 58 0.6× 9 787
Jonatas Ferreira da Silva Santos Brazil 16 612 0.9× 217 0.7× 164 0.7× 93 0.6× 87 0.8× 26 847
Ibrahim Akubat United Kingdom 17 754 1.1× 314 1.0× 98 0.4× 97 0.6× 172 1.7× 27 840
MARGARITA P REZ Spain 6 436 0.6× 350 1.2× 145 0.6× 106 0.7× 27 0.3× 8 555
Esa Peltola Qatar 10 960 1.4× 205 0.7× 63 0.3× 240 1.5× 258 2.5× 16 1.0k
Steven Scott Plisk United States 11 490 0.7× 130 0.4× 350 1.5× 116 0.7× 69 0.7× 28 727
K McMillan United Kingdom 6 489 0.7× 268 0.9× 67 0.3× 98 0.6× 67 0.7× 9 575

Countries citing papers authored by S Lawrence

Since Specialization
Citations

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

Fields of papers citing papers by S Lawrence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Lawrence

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

All Works

9 of 9 papers shown
1.
Esterson, Yonah B., Preeti Kishore, Sudha Koppaka, et al.. (2012). Fatty Acid-Induced Production of Plasminogen Activator Inhibitor-1 by Adipose Macrophages Is Greater in Middle-Aged Versus Younger Adult Participants. The Journals of Gerontology Series A. 67(12). 1321–1328. 7 indexed citations
2.
Bishop, David J., et al.. (2004). Longitudinal assessment of the effects of field-hockey training on repeated sprint ability. Journal of science and medicine in sport. 7(3). 323–334. 46 indexed citations
3.
Spencer, Matt, S Lawrence, Claire Rechichi, et al.. (2004). Time–motion analysis of elite field hockey, with special reference to repeated-sprint activity. Journal of Sports Sciences. 22(9). 843–850. 344 indexed citations
4.
Bishop, David J., et al.. (2003). Predictors of repeated-sprint ability in elite female hockey players. Journal of science and medicine in sport. 6(2). 199–209. 125 indexed citations
5.
Preen, David B., et al.. (2001). Effect of creatine loading on long-term sprint exercise performance and metabolism. Medicine & Science in Sports & Exercise. 33(5). 814–821. 46 indexed citations
6.
Dawson, B., Carmél Goodman, S Lawrence, et al.. (1997). Muscle phosphocreatine repletion following single and repeated short sprint efforts. Scandinavian Journal of Medicine and Science in Sports. 7(4). 206–213. 135 indexed citations
7.
Lawrence, S, David B. Preen, Brian Dawson, et al.. (1997). The effect of oral creatine supplementation on maximal exercise performance in competitive rowers. Sports medicine, training, and rehabilitation. 7(3-4). 243–253. 3 indexed citations
8.
Dawson, B., et al.. (1995). Effects of oral creatine loading on single and repeated maximal short sprints.. PubMed. 27(3). 56–61. 82 indexed citations
9.
Fry, Rod W., et al.. (1993). Monitoring Training Stress in Endurance Sports Using Biological Parameters. Clinical Journal of Sport Medicine. 3(1). 6–13. 12 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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