Todd C. Sander

626 total citations
17 papers, 459 citations indexed

About

Todd C. Sander is a scholar working on Surgery, Biomedical Engineering and Occupational Therapy. According to data from OpenAlex, Todd C. Sander has authored 17 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 7 papers in Biomedical Engineering and 3 papers in Occupational Therapy. Recurrent topics in Todd C. Sander's work include Knee injuries and reconstruction techniques (8 papers), Total Knee Arthroplasty Outcomes (6 papers) and Lower Extremity Biomechanics and Pathologies (5 papers). Todd C. Sander is often cited by papers focused on Knee injuries and reconstruction techniques (8 papers), Total Knee Arthroplasty Outcomes (6 papers) and Lower Extremity Biomechanics and Pathologies (5 papers). Todd C. Sander collaborates with scholars based in United States, Japan and United Kingdom. Todd C. Sander's co-authors include Sandra J. Shultz, David H. Perrin, Susan E. Kirk, Michael L. Johnson, Bruce M. Gansneder, Jon Cauley, Genieleah A. Padilla, Nausheen Momen, Amanda E. Markham and Marcus K. Taylor and has published in prestigious journals such as Medicine & Science in Sports & Exercise, Physical Therapy and Journal of Orthopaedic Research®.

In The Last Decade

Todd C. Sander

15 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Todd C. Sander United States 10 264 219 119 32 27 17 459
Vladimir Ristić Serbia 10 147 0.6× 256 1.2× 78 0.7× 22 0.7× 34 1.3× 30 418
Sylvie Charette Canada 10 139 0.5× 76 0.3× 148 1.2× 18 0.6× 6 0.2× 17 539
Murray E. Maitland United States 16 601 2.3× 314 1.4× 391 3.3× 23 0.7× 7 0.3× 52 961
Hélio Roesler Brazil 14 141 0.5× 432 2.0× 264 2.2× 26 0.8× 3 0.1× 80 696
Mark Sayers Australia 16 280 1.1× 725 3.3× 362 3.0× 26 0.8× 5 0.2× 88 961
Georges Poumarat France 8 94 0.4× 113 0.5× 158 1.3× 34 1.1× 5 0.2× 14 329
Brian Conroy United States 10 193 0.7× 483 2.2× 120 1.0× 20 0.6× 2 0.1× 15 740
Jeff G. Seegmiller United States 10 140 0.5× 217 1.0× 98 0.8× 31 1.0× 11 0.4× 27 579
Sebastian Dendorfer Germany 13 480 1.8× 103 0.5× 146 1.2× 7 0.2× 4 0.1× 53 647
Julien Girard France 31 2.8k 10.5× 173 0.8× 123 1.0× 15 0.5× 8 0.3× 144 3.0k

Countries citing papers authored by Todd C. Sander

Since Specialization
Citations

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

Fields of papers citing papers by Todd C. Sander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Todd C. Sander. 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 Todd C. Sander. The network helps show where Todd C. Sander may publish in the future.

Co-authorship network of co-authors of Todd C. Sander

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

All Works

17 of 17 papers shown
1.
2.
Saha, Rony Kumer, Todd C. Sander, Jeffrey D. Smith, et al.. (2024). Distributed Sensing for Early Detection of Water Leakages in the Burner Area of an Electric Arc Furnace Using Optical Fiber Sensors. IEEE Transactions on Instrumentation and Measurement. 73. 1–12. 5 indexed citations
3.
Fraser, John J., et al.. (2022). Does policy that provides choice in athletic footwear affect musculoskeletal injury risk in US Coast Guard recruits?. BMJ Military Health. 170(4). 290–295. 2 indexed citations
4.
Moore, Josef H., et al.. (2014). Impact of an innovative clinical internship model in the US Army-Baylor Doctoral Program in physical therapy.. PubMed. 30–4. 6 indexed citations
5.
Booth‐Kewley, Stephanie, et al.. (2013). A Prospective Study of Factors Affecting Recovery from Musculoskeletal Injuries. Journal of Occupational Rehabilitation. 24(2). 287–296. 19 indexed citations
6.
Momen, Nausheen, Marcus K. Taylor, Ricardo Pietrobon, et al.. (2010). Initial Validation of the Military Operational Risk Taking Scale (MORTS). Military Psychology. 22(2). 128–142. 19 indexed citations
7.
Taylor, Marcus K., Lilianne R. Mujica‐Parodi, Genieleah A. Padilla, et al.. (2009). Behavioral predictors of acute stress symptoms during intense military training. Journal of Traumatic Stress. 22(3). 212–217. 18 indexed citations
8.
Fan, Richard E., Amit P. Mulgaonkar, Todd C. Sander, et al.. (2009). Pilot testing of a haptic feedback rehabilitation system on a lower-limb amputee. 132. 1–4. 21 indexed citations
9.
Shultz, Sandra J., Bruce M. Gansneder, Todd C. Sander, Susan E. Kirk, & David H. Perrin. (2005). Absolute serum hormone levels predict the magnitude of change in anterior knee laxity across the menstrual cycle. Journal of Orthopaedic Research®. 24(2). 124–131. 34 indexed citations
10.
Shultz, Sandra J., Susan E. Kirk, Michael L. Johnson, Todd C. Sander, & David H. Perrin. (2004). Relationship between Sex Hormones and Anterior Knee Laxity across the Menstrual Cycle. Medicine & Science in Sports & Exercise. 36(7). 1165–1174. 131 indexed citations
11.
Shultz, Sandra J., Michael L. Johnson, Susan E. Kirk, Todd C. Sander, & David H. Perrin. (2004). Sex Hormones Explain More Variance In Anterior Knee Laxity Across The Menstrual Cycle When A Time Delay Is Considered. Medicine & Science in Sports & Exercise. 36(Supplement). S36–S36. 1 indexed citations
12.
Perrin, David H., Susan E. Kirk, Todd C. Sander, & Sandra J. Shultz. (2004). Sex Differences in Knee Joint Laxity Change Across the Female Menstrual Cycle. Medicine & Science in Sports & Exercise. 36(Supplement). S151–S151. 10 indexed citations
13.
Perrin, David H., Susan E. Kirk, Todd C. Sander, & Sandra J. Shultz. (2004). Sex Differences in Knee Joint Laxity Change Across the Female Menstrual Cycle. Medicine & Science in Sports & Exercise. 36(Supplement). S151–S151. 134 indexed citations
14.
Shultz, Sandra J., Bruce M. Gansneder, Todd C. Sander, Susan E. Kirk, & David H. Perrin. (2003). Absolute serum hormone levels predict the magnitude of change in anterior knee laxity across the menstrual cycle. Journal of Orthopaedic Research®. 24(2). 124–131. 45 indexed citations
15.
Shultz, Sandra J., Todd C. Sander, Susan E. Kirk, & David H. Perrin. (2003). KNEE LAXITY BUT NOT ANTERIOR CRUCIATE LIGAMENT COMPLIANCE INCREASES ACROSS THE MENSTRUAL CYCLE. Medicine & Science in Sports & Exercise. 35(Supplement 1). S81–S81. 1 indexed citations
16.
Perrin, David H., Sandra J. Shultz, Todd C. Sander, & Christopher R. Carcia. (2002). RELIABILITY OF LIGAMENT COMPLIANCE AND TIBIAL DISPLACEMENT MEASURES OBTAINED FROM TWO KNEE ARTHROMETERS. Medicine & Science in Sports & Exercise. 34(5). S147–S147. 1 indexed citations
17.
Cauley, Jon & Todd C. Sander. (1992). Agency theory and the Chinese enterprise under reform. China Economic Review. 3(1). 39–56. 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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