Ryan E. Tomlinson

2.5k total citations
51 papers, 1.8k citations indexed

About

Ryan E. Tomlinson is a scholar working on Molecular Biology, Orthopedics and Sports Medicine and Rheumatology. According to data from OpenAlex, Ryan E. Tomlinson has authored 51 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 15 papers in Orthopedics and Sports Medicine and 12 papers in Rheumatology. Recurrent topics in Ryan E. Tomlinson's work include Bone Metabolism and Diseases (9 papers), Bone health and osteoporosis research (8 papers) and Osteoarthritis Treatment and Mechanisms (6 papers). Ryan E. Tomlinson is often cited by papers focused on Bone Metabolism and Diseases (9 papers), Bone health and osteoporosis research (8 papers) and Osteoarthritis Treatment and Mechanisms (6 papers). Ryan E. Tomlinson collaborates with scholars based in United States, United Kingdom and Iran. Ryan E. Tomlinson's co-authors include Matthew J. Silva, Thomas L. Clemens, Ryan C. Riddle, Liliana Minichiello, Arun Venkatesan, Daniel L.J. Thorek, Zhi Li, Qian Zhang, Zhu Li and Carolyn A. Meyers and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Ryan E. Tomlinson

49 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan E. Tomlinson United States 22 640 338 310 286 284 51 1.8k
Gabriel L. Galea United Kingdom 26 1.2k 1.9× 627 1.9× 249 0.8× 235 0.8× 182 0.6× 67 2.2k
Fayez F. Safadi United States 34 1.3k 2.0× 292 0.9× 252 0.8× 322 1.1× 318 1.1× 55 2.6k
Norbert Laroche France 27 693 1.1× 753 2.2× 463 1.5× 341 1.2× 339 1.2× 67 2.2k
Gehua Zhen United States 28 1.1k 1.6× 246 0.7× 434 1.4× 367 1.3× 871 3.1× 42 3.0k
David E. Komatsu United States 23 471 0.7× 256 0.8× 237 0.8× 638 2.2× 154 0.5× 139 1.8k
Xi Jiang United States 29 1.4k 2.3× 327 1.0× 199 0.6× 366 1.3× 467 1.6× 100 2.9k
Nancy Troiano United States 25 620 1.0× 280 0.8× 235 0.8× 458 1.6× 140 0.5× 42 1.7k
Nicholas Ditzel Denmark 27 1.5k 2.3× 232 0.7× 412 1.3× 491 1.7× 186 0.7× 51 3.0k
Isabella Villa Italy 23 642 1.0× 268 0.8× 130 0.4× 126 0.4× 139 0.5× 65 1.4k
Susanne Grässel Germany 33 1.1k 1.7× 266 0.8× 235 0.8× 464 1.6× 1.1k 3.8× 97 3.1k

Countries citing papers authored by Ryan E. Tomlinson

Since Specialization
Citations

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

Fields of papers citing papers by Ryan E. Tomlinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan E. Tomlinson. 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 Ryan E. Tomlinson. The network helps show where Ryan E. Tomlinson may publish in the future.

Co-authorship network of co-authors of Ryan E. Tomlinson

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan E. Tomlinson. A scholar is included among the top collaborators of Ryan E. Tomlinson 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 Ryan E. Tomlinson. Ryan E. Tomlinson 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.
Creagh, Andrew P., Valentin Hamy, Hang Yuan, et al.. (2024). Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis. npj Digital Medicine. 7(1). 33–33. 24 indexed citations
2.
Mulholland, Christopher B., et al.. (2024). Regular Nonsteroidal Anti‐Inflammatory Drug Use Increases Stress Fracture Risk in the General Population: A Retrospective Case‐Control Study. Advances in Orthopedics. 2024(1). 7933520–7933520. 1 indexed citations
3.
Hamy, Valentin, Christopher Yee, Luis Garcia‐Gancedo, et al.. (2023). Patient-centric assessment of rheumatoid arthritis using a smartwatch and bespoke mobile app in a clinical setting. Scientific Reports. 13(1). 18311–18311. 4 indexed citations
4.
Collins, John A., James Kim, Ashley Coleman, et al.. (2023). Cartilage-specific Sirt6 deficiency represses IGF-1 and enhances osteoarthritis severity in mice. Annals of the Rheumatic Diseases. 82(11). 1464–1473. 35 indexed citations
5.
Tomlinson, Ryan E., et al.. (2022). Enhancing precision in bioprinting utilizing fuzzy systems. Bioprinting. 25. e00190–e00190. 12 indexed citations
6.
Steplewski, Andrzej, Jolanta Fertala, Ryan E. Tomlinson, et al.. (2021). Mechanisms of reducing joint stiffness by blocking collagen fibrillogenesis in a rabbit model of posttraumatic arthrofibrosis. PLoS ONE. 16(9). e0257147–e0257147. 10 indexed citations
7.
Tomlinson, Ryan E., et al.. (2021). The TrkA agonist gambogic amide augments skeletal adaptation to mechanical loading. Bone. 147. 115908–115908. 9 indexed citations
8.
Tomlinson, Ryan E., et al.. (2021). Leveraging advancements in tissue engineering for bioprinting dental tissues. Bioprinting. 23. e00153–e00153. 11 indexed citations
9.
Abou, Diane S., Ryan E. Tomlinson, Paige Finley, et al.. (2020). Preclinical Single Photon Emission Computed Tomography of Alpha Particle-Emitting Radium-223. Cancer Biotherapy and Radiopharmaceuticals. 35(7). 520–529. 10 indexed citations
10.
Meyers, Carolyn A., Leslie Chang, Seungyong Lee, et al.. (2019). Fracture repair requires TrkA signaling by skeletal sensory nerves. Journal of Clinical Investigation. 129(12). 5137–5150. 184 indexed citations
12.
Tomlinson, Ryan E., Zhi Li, Zhu Li, et al.. (2017). NGF-TrkA signaling in sensory nerves is required for skeletal adaptation to mechanical loads in mice. Proceedings of the National Academy of Sciences. 114(18). E3632–E3641. 146 indexed citations
13.
Ziegler, Shira G., Carlos R. Ferreira, Elena Gallo MacFarlane, et al.. (2017). Ectopic calcification in pseudoxanthoma elasticum responds to inhibition of tissue-nonspecific alkaline phosphatase. Science Translational Medicine. 9(393). 83 indexed citations
14.
Zhang, Qian, Michèle Doucet, Ryan E. Tomlinson, et al.. (2016). The hypoxia-inducible factor-1α activates ectopic production of fibroblast growth factor 23 in tumor-induced osteomalacia. Bone Research. 4(1). 16011–16011. 60 indexed citations
15.
Tomlinson, Ryan E. & Matthew J. Silva. (2014). HIF-1α regulates bone formation after osteogenic mechanical loading. Bone. 73. 98–104. 41 indexed citations
16.
Tomlinson, Ryan E., et al.. (2013). Anti-resorptive agents reduce the size of resorption cavities: A three-dimensional dynamic bone histomorphometry study. Bone. 57(1). 277–283. 17 indexed citations
17.
Tomlinson, Ryan E. & Matthew J. Silva. (2013). Skeletal Blood Flow in Bone Repair and Maintenance. Bone Research. 1(4). 311–322. 213 indexed citations
18.
Tomlinson, Ryan E., Jennifer A. McKenzie, Anne H. Schmieder, et al.. (2012). Angiogenesis is required for stress fracture healing in rats. Bone. 52(1). 212–219. 37 indexed citations
19.
Tomlinson, Ryan E., Matthew J. Silva, & Kooresh I. Shoghi. (2011). Quantification of Skeletal Blood Flow and Fluoride Metabolism in Rats using PET in a Pre-Clinical Stress Fracture Model. Molecular Imaging and Biology. 14(3). 348–354. 18 indexed citations
20.
Tomlinson, Ryan E., et al.. (2009). Voxel size and measures of individual resorption cavities in three-dimensional images of cancellous bone. Bone. 45(3). 487–492. 22 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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