Ted S. Gross

4.4k total citations
65 papers, 3.4k citations indexed

About

Ted S. Gross is a scholar working on Orthopedics and Sports Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Ted S. Gross has authored 65 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Orthopedics and Sports Medicine, 27 papers in Molecular Biology and 13 papers in Epidemiology. Recurrent topics in Ted S. Gross's work include Bone health and osteoporosis research (19 papers), Bone fractures and treatments (13 papers) and Lower Extremity Biomechanics and Pathologies (10 papers). Ted S. Gross is often cited by papers focused on Bone health and osteoporosis research (19 papers), Bone fractures and treatments (13 papers) and Lower Extremity Biomechanics and Pathologies (10 papers). Ted S. Gross collaborates with scholars based in United States, Canada and Spain. Ted S. Gross's co-authors include Sundar Srinivasan, Steven D. Bain, Clinton T. Rubin, Kenneth J. McLeod, Stefan Judex, Sandra L. Poliachik, Thomas L. Clemens, Ronald F. Zernicke, Brandon J. Ausk and Richard C. Nelson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Ted S. Gross

64 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ted S. Gross United States 34 1.5k 1.2k 750 516 485 65 3.4k
Kenneth J. McLeod United States 34 1.9k 1.3× 1.1k 1.0× 891 1.2× 774 1.5× 766 1.6× 67 4.5k
Simon C.F. Rawlinson United Kingdom 25 783 0.5× 1.1k 0.9× 760 1.0× 354 0.7× 307 0.6× 53 2.6k
Alesha B. Castillo United States 25 764 0.5× 874 0.7× 491 0.7× 414 0.8× 305 0.6× 48 2.5k
Michael D. Brodt United States 33 1.3k 0.9× 1.4k 1.2× 319 0.4× 1.1k 2.1× 332 0.7× 58 3.3k
Clare E. Yellowley United States 35 706 0.5× 1.9k 1.6× 816 1.1× 533 1.0× 529 1.1× 63 3.9k
Steven D. Bain United States 29 1.6k 1.1× 2.3k 1.9× 452 0.6× 570 1.1× 467 1.0× 56 4.7k
John R. Mosley United Kingdom 18 914 0.6× 654 0.6× 351 0.5× 367 0.7× 231 0.5× 29 1.9k
Joanna S. Price United Kingdom 32 1.3k 0.8× 1.6k 1.3× 254 0.3× 312 0.6× 295 0.6× 56 2.9k
Ichiro Owan Japan 19 710 0.5× 664 0.6× 361 0.5× 353 0.7× 284 0.6× 28 1.8k
Norbert Laroche France 27 753 0.5× 693 0.6× 463 0.6× 341 0.7× 494 1.0× 67 2.2k

Countries citing papers authored by Ted S. Gross

Since Specialization
Citations

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

Fields of papers citing papers by Ted S. Gross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ted S. Gross

This figure shows the co-authorship network connecting the top 25 collaborators of Ted S. Gross. A scholar is included among the top collaborators of Ted S. Gross 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 Ted S. Gross. Ted S. Gross 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.
Ausk, Brandon J., et al.. (2023). A microCT-based platform to quantify drug targeting. European Radiology Experimental. 7(1). 38–38.
2.
Srinivasan, Sundar, et al.. (2018). Static Preload Inhibits Loading‐Induced Bone Formation. JBMR Plus. 3(5). e10087–e10087. 7 indexed citations
3.
Gardiner, Edith M., et al.. (2018). Botulinum toxin A-induced muscle paralysis stimulates Hdac4 and differential miRNA expression. PLoS ONE. 13(11). e0207354–e0207354. 5 indexed citations
4.
Ausk, Brandon J., Ted S. Gross, & Steven D. Bain. (2015). Botulinum Toxin-induced Muscle Paralysis Inhibits Heterotopic Bone Formation. Clinical Orthopaedics and Related Research. 473(9). 2825–2830. 11 indexed citations
5.
Avin, Keith G., Susan A. Bloomfield, Ted S. Gross, & Stuart J. Warden. (2014). Biomechanical Aspects of the Muscle-Bone Interaction. Current Osteoporosis Reports. 13(1). 1–8. 73 indexed citations
6.
Kwon, Ronald Y., et al.. (2014). Enhancement of Flow-Induced AP-1 Gene Expression by Cyclosporin A Requires NFAT-Independent Signaling in Bone Cells. Cellular and Molecular Bioengineering. 7(2). 254–265. 7 indexed citations
7.
Ausk, Brandon J., Steven D. Bain, Edith M. Gardiner, et al.. (2013). Systems-Based Identification of Temporal Processing Pathways during Bone Cell Mechanotransduction. PLoS ONE. 8(9). e74205–e74205. 8 indexed citations
8.
Ausk, Brandon J., Philippe Huber, Sundar Srinivasan, et al.. (2013). Metaphyseal and diaphyseal bone loss in the tibia following transient muscle paralysis are spatiotemporally distinct resorption events. Bone. 57(2). 413–422. 30 indexed citations
9.
Ausk, Brandon J., Philippe Huber, Sandra L. Poliachik, et al.. (2011). Cortical bone resorption following muscle paralysis is spatially heterogeneous. Bone. 50(1). 14–22. 26 indexed citations
10.
Srinivasan, Sundar, Brandon J. Ausk, Jitendra Prasad, et al.. (2010). Rescuing Loading Induced Bone Formation at Senescence. PLoS Computational Biology. 6(9). e1000924–e1000924. 34 indexed citations
11.
Prasad, Jitendra, Brett P. Wiater, Sean E. Nork, Steven D. Bain, & Ted S. Gross. (2010). Characterizing gait induced normal strains in a murine tibia cortical bone defect model. Journal of Biomechanics. 43(14). 2765–2770. 34 indexed citations
12.
Poliachik, Sandra L., et al.. (2009). Transient muscle paralysis disrupts bone homeostasis by rapid degradation of bone morphology. Bone. 46(1). 18–23. 63 indexed citations
14.
Case, Natasha, Meiyun Ma, Buer Sen, et al.. (2008). β-Catenin Levels Influence Rapid Mechanical Responses in Osteoblasts. Journal of Biological Chemistry. 283(43). 29196–29205. 124 indexed citations
15.
Poliachik, Sandra L., et al.. (2008). 32 wk old C3H/HeJ mice actively respond to mechanical loading. Bone. 42(4). 653–659. 22 indexed citations
16.
Gross, Ted S., et al.. (2004). Why Rest Stimulates Bone Formation: A Hypothesis Based on Complex Adaptive Phenomenon. Exercise and Sport Sciences Reviews. 32(1). 9–13. 38 indexed citations
17.
Srinivasan, Sundar, et al.. (2002). Low‐Magnitude Mechanical Loading Becomes Osteogenic When Rest Is Inserted Between Each Load Cycle. Journal of Bone and Mineral Research. 17(9). 1613–1620. 197 indexed citations
18.
Srinivasan, S., Steven Keilin, Stefan Judex, et al.. (2000). Aging-induced osteopenia in avian cortical bone. Bone. 26(4). 361–365. 7 indexed citations
19.
Gross, Ted S. & Clinton T. Rubin. (1995). Uniformity of resorptive bone loss induced by disuse. Journal of Orthopaedic Research®. 13(5). 708–714. 62 indexed citations
20.
Gross, Ted S., Kim McLeod, & Clinton T. Rubin. (1992). Characterizing bone strain distributions in vivo using three triple rosette strain gages. Journal of Biomechanics. 25(9). 1081–1087. 127 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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