Jonathan W. Lowery

1.7k total citations
45 papers, 1.2k citations indexed

About

Jonathan W. Lowery is a scholar working on Molecular Biology, Rheumatology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jonathan W. Lowery has authored 45 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 8 papers in Rheumatology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jonathan W. Lowery's work include TGF-β signaling in diseases (13 papers), Bone Metabolism and Diseases (9 papers) and Heterotopic Ossification and Related Conditions (8 papers). Jonathan W. Lowery is often cited by papers focused on TGF-β signaling in diseases (13 papers), Bone Metabolism and Diseases (9 papers) and Heterotopic Ossification and Related Conditions (8 papers). Jonathan W. Lowery collaborates with scholars based in United States, Japan and Switzerland. Jonathan W. Lowery's co-authors include Vicki Rosen, Mark P. de Caestecker, Shoichiro Kokabu, Laura W. Gamer, Karen Cox, Eijiro Jimi, David B. Frank, Sarah Glover, Markus R. John and Patrick Garnero and has published in prestigious journals such as Journal of Biological Chemistry, Physiological Reviews and PLoS ONE.

In The Last Decade

Jonathan W. Lowery

43 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan W. Lowery United States	19	616	188	180	179	143	45	1.2k
Anke Baranowsky Germany	17	625 1.0×	201 1.1×	99 0.6×	105 0.6×	136 1.0×	54	1.4k
Fayez Safadi United States	17	909 1.5×	184 1.0×	136 0.8×	122 0.7×	123 0.9×	45	1.8k
Angela Oranger Italy	23	738 1.2×	444 2.4×	184 1.0×	82 0.5×	111 0.8×	52	1.6k
Jennifer A. McKenzie United States	19	565 0.9×	206 1.1×	181 1.0×	54 0.3×	131 0.9×	41	1.1k
Jenna N. Regan United States	14	868 1.4×	214 1.1×	109 0.6×	124 0.7×	224 1.6×	27	1.3k
Jennifer C. Utting United Kingdom	8	552 0.9×	329 1.8×	253 1.4×	73 0.4×	139 1.0×	8	1.3k
Beth Bragdon United States	15	631 1.0×	208 1.1×	90 0.5×	61 0.3×	140 1.0×	24	1.2k
Julie Lacombe United States	21	800 1.3×	305 1.6×	230 1.3×	89 0.5×	232 1.6×	39	2.1k
David E. Maridas United States	13	558 0.9×	177 0.9×	157 0.9×	57 0.3×	79 0.6×	24	974

Countries citing papers authored by Jonathan W. Lowery

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan W. Lowery

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan W. Lowery. 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 Jonathan W. Lowery. The network helps show where Jonathan W. Lowery may publish in the future.

Co-authorship network of co-authors of Jonathan W. Lowery

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

All Works

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20 of 20 papers shown

Lowery, Jonathan W., et al.. (2025). Insights into the Anti-Inflammatory Effects of Soft Tissue Manipulation. Biology. 14(10). 1421–1421.

Loghmani, M. Terry, Nanna L. Meyer, Connor Wakefield, et al.. (2025). Soft tissue manipulation enhances recovery of muscle mass in a disuse model of sarcopenia. Journal of Osteopathic Medicine. 125(10). 485–495. 2 indexed citations

Lowery, Jonathan W., et al.. (2025). Na,K-ATPase mediated and cardiotonic induced signaling in health and disease. Frontiers in Physiology. 16. 1694027–1694027.

Hum, Julia M., et al.. (2023). Soft Tissue Manipulation Alters RANTES/CCL5 and IL-4 Cytokine Levels in a Rat Model of Chronic Low Back Pain. International Journal of Molecular Sciences. 24(18). 14392–14392. 3 indexed citations

Patel, Devanshi, et al.. (2021). A call for research on soft tissue manipulation (STM) as a bone anabolic therapy. 3(1). 31–34. 1 indexed citations

Gries, Kevin J., et al.. (2021). Muscle-derived factors influencing bone metabolism. Seminars in Cell and Developmental Biology. 123. 57–63. 22 indexed citations

Squire, Maria E., et al.. (2020). Neuromedin U (NMU) regulates osteoblast differentiation and activity. Biochemical and Biophysical Research Communications. 524(4). 890–894. 6 indexed citations

Wagner, Diane R., Jonathan W. Lowery, M. Terry Loghmani, et al.. (2019). Dysfunctional stem and progenitor cells impair fracture healing with age. World Journal of Stem Cells. 11(6). 281–296. 32 indexed citations

Schoerning, Laura, et al.. (2019). Identification of a bone morphogenetic protein type 2 receptor neutralizing antibody. BMC Research Notes. 12(1). 331–331. 2 indexed citations

10.

Lowery, Jonathan W. & Vicki Rosen. (2017). Bone Morphogenetic Protein–Based Therapeutic Approaches. Cold Spring Harbor Perspectives in Biology. 10(4). a022327–a022327. 58 indexed citations

11.

Lowery, Jonathan W., et al.. (2016). A Survey of Strategies to Modulate the Bone Morphogenetic Protein Signaling Pathway: Current and Future Perspectives. Stem Cells International. 2016(1). 7290686–7290686. 25 indexed citations

12.

Kokabu, Shoichiro, Jonathan W. Lowery, Takashi Toyono, et al.. (2015). Muscle regulatory factors regulate T1R3 taste receptor expression. Biochemical and Biophysical Research Communications. 468(4). 568–573. 19 indexed citations

13.

Lowery, Jonathan W., et al.. (2013). Comparative Genomics Identifies the Mouse Bmp3 Promoter and an Upstream Evolutionary Conserved Region (ECR) in Mammals. PLoS ONE. 8(2). e57840–e57840. 9 indexed citations

14.

Frump, Andrea L., et al.. (2013). Abnormal Trafficking of Endogenously Expressed BMPR2 Mutant Allelic Products in Patients with Heritable Pulmonary Arterial Hypertension. PLoS ONE. 8(11). e80319–e80319. 27 indexed citations

15.

Chappuis, Vivianne, Laura W. Gamer, Karen Cox, et al.. (2012). Periosteal BMP2 activity drives bone graft healing. Bone. 51(4). 800–809. 47 indexed citations

16.

Lowery, Jonathan W., Giuseppe Intini, Shoichiro Kokabu, et al.. (2011). The Role of BMP2 Signaling in the Skeleton. Critical Reviews in Eukaryotic Gene Expression. 21(2). 177–185. 38 indexed citations

17.

Lowery, Jonathan W. & Mark P. de Caestecker. (2010). BMP signaling in vascular development and disease. Cytokine & Growth Factor Reviews. 21(4). 287–298. 111 indexed citations

18.

Goforth, Harold W., et al.. (2009). Impact of Bereavement on Progression of AIDS and HIV Infection: A Review. Psychosomatics. 50(5). 433–439. 11 indexed citations

19.

Glover, Sarah, Richard Eastell, Eugène McCloskey, et al.. (2009). Rapid and robust response of biochemical markers of bone formation to teriparatide therapy. Bone. 45(6). 1053–1058. 134 indexed citations

20.

Frank, David B., et al.. (2007). Increased susceptibility to hypoxic pulmonary hypertension in Bmpr2 mutant mice is associated with endothelial dysfunction in the pulmonary vasculature. American Journal of Physiology-Lung Cellular and Molecular Physiology. 294(1). L98–L109. 57 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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