Brad M. Lawrence

14 total papers · 433 total citations
14 papers, 320 citations indexed

About

Brad M. Lawrence is a scholar working on Pharmacology, Pathology and Forensic Medicine and Occupational Therapy. According to data from OpenAlex, Brad M. Lawrence has authored 14 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pharmacology, 6 papers in Pathology and Forensic Medicine and 4 papers in Occupational Therapy. Recurrent topics in Brad M. Lawrence's work include Musculoskeletal pain and rehabilitation (7 papers), Spinal Cord Injury Research (6 papers) and Ergonomics and Musculoskeletal Disorders (3 papers). Brad M. Lawrence is often cited by papers focused on Musculoskeletal pain and rehabilitation (7 papers), Spinal Cord Injury Research (6 papers) and Ergonomics and Musculoskeletal Disorders (3 papers). Brad M. Lawrence collaborates with scholars based in United States. Brad M. Lawrence's co-authors include Michael L. Boninger, Rory A. Cooper, D.P. VanSickle, Sean D. Shimada, Gary A. Mirka, Andrew J. Rentschler, Gregory D. Buckner, Carolyn M. Sommerich, R.N. Robertson and R.A. Cooper and has published in prestigious journals such as Journal of Biomechanics, Archives of Physical Medicine and Rehabilitation and Human Factors The Journal of the Human Factors and Ergonomics Society.

In The Last Decade

Brad M. Lawrence

14 papers receiving 293 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Brad M. Lawrence	147	94	89	85	72	14	320
R.A. Cooper	154 1.0×	47 0.5×	25 0.3×	17 0.2×	81 1.1×	23	248
Satoshi Muraki	49 0.3×	46 0.5×	30 0.3×	66 0.8×	36 0.5×	25	344
Rosemarie Cooper	157 1.1×	143 1.5×	13 0.1×	37 0.4×	80 1.1×	15	318
May Stinson	52 0.4×	222 2.4×	21 0.2×	94 1.1×	14 0.2×	20	333
Rosa M. S. Visscher	22 0.1×	44 0.5×	109 1.2×	73 0.9×	53 0.7×	20	263
Emily Teodorski	144 1.0×	79 0.8×	11 0.1×	29 0.3×	84 1.2×	14	344
Jie Zhou	40 0.3×	41 0.4×	192 2.2×	97 1.1×	10 0.1×	26	281
Camille J. Shanahan	84 0.6×	22 0.2×	68 0.8×	29 0.3×	39 0.5×	10	290
Gwyneth B. Ross	26 0.2×	41 0.4×	179 2.0×	63 0.7×	17 0.2×	15	360
Andrew M. Kwarciak	279 1.9×	46 0.5×	33 0.4×	7 0.1×	135 1.9×	12	335

Countries citing papers authored by Brad M. Lawrence

Since Specialization

Citations

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

Fields of papers citing papers by Brad M. Lawrence

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brad M. Lawrence

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

All Works

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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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