Stephen M. Goldman

1.3k total citations
49 papers, 934 citations indexed

About

Stephen M. Goldman is a scholar working on Surgery, Epidemiology and Molecular Biology. According to data from OpenAlex, Stephen M. Goldman has authored 49 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Surgery, 20 papers in Epidemiology and 18 papers in Molecular Biology. Recurrent topics in Stephen M. Goldman's work include Bone fractures and treatments (19 papers), Muscle Physiology and Disorders (16 papers) and Tissue Engineering and Regenerative Medicine (14 papers). Stephen M. Goldman is often cited by papers focused on Bone fractures and treatments (19 papers), Muscle Physiology and Disorders (16 papers) and Tissue Engineering and Regenerative Medicine (14 papers). Stephen M. Goldman collaborates with scholars based in United States, United Arab Emirates and Norway. Stephen M. Goldman's co-authors include Benjamin T. Corona, Sarah M. Greising, Beth E. Pollot, Catherine L. Ward, Joseph C. Wenke, Carlos A. Aguilar, Christopher L. Dearth, Todd O. McKinley, Koyal Garg and Brady J. Hurtgen and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Stephen M. Goldman

44 papers receiving 924 citations

Peers

Stephen M. Goldman
Dike Ruan China
Song Wu China
Pei Yang China
Laura Frese Switzerland
Dike Ruan China
Stephen M. Goldman
Citations per year, relative to Stephen M. Goldman Stephen M. Goldman (= 1×) peers Dike Ruan

Countries citing papers authored by Stephen M. Goldman

Since Specialization
Citations

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

Fields of papers citing papers by Stephen M. Goldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen M. Goldman

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen M. Goldman. A scholar is included among the top collaborators of Stephen M. Goldman 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 Stephen M. Goldman. Stephen M. Goldman 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.
Valerio, Michael S., et al.. (2025). Evaluation of biological sex on endstage pathobiology and regenerative treatment of volumetric muscle loss. Scientific Reports. 15(1). 21399–21399. 1 indexed citations
2.
Valerio, Michael S., et al.. (2023). Effect of Targeted Cytokine Inhibition on Progression of Post-Traumatic Osteoarthritis Following Intra-Articular Fracture. International Journal of Molecular Sciences. 24(17). 13606–13606. 6 indexed citations
3.
Goldman, Stephen M., Susan L. Eskridge, Sarah Franco, et al.. (2023). A Data-Driven Method to Discriminate Limb Salvage from Other Combat-Related Extremity Trauma. Journal of Clinical Medicine. 12(19). 6357–6357. 2 indexed citations
4.
Young, Aaron J., et al.. (2023). Exoskeletal solutions to enable mobility with a lower leg fracture in austere environments. SHILAP Revista de lepidopterología. 4. e5–e5. 2 indexed citations
5.
Valerio, Michael S., Connor P. Dolan, Naveena B. Janakiram, et al.. (2023). Development and characterization of an intra‐articular fracture mediated model of post‐traumatic osteoarthritis. Journal of Experimental Orthopaedics. 10(1). 68–68. 1 indexed citations
6.
McKinley, Todd O., Roman M. Natoli, Naveena B. Janakiram, et al.. (2023). Minced muscle autografting improves bone healing but not muscle function in a porcine composite injury model. Journal of Orthopaedic Research®. 41(9). 1890–1901. 5 indexed citations
7.
Goldman, Stephen M., Susan L. Eskridge, Sarah Franco, & Christopher L. Dearth. (2023). Demographics and Comorbidities of United States Service Members with Combat-Related Lower Extremity Limb Salvage. Journal of Clinical Medicine. 12(21). 6879–6879. 2 indexed citations
8.
9.
Clark, Andrew, Timothy C. Mauntel, Stephen M. Goldman, & Christopher L. Dearth. (2023). Repurposing existing products to accelerate injury recovery (REPAIR) of military relevant musculoskeletal conditions. Frontiers in Bioengineering and Biotechnology. 10. 1105599–1105599.
10.
Ngo, Tran B., Ravi Lokwani, Maria Karkanitsa, et al.. (2022). Development of a High-Color Flow Cytometry Panel for Immunologic Analysis of Tissue Injury and Reconstruction in a Rat Model. Cells Tissues Organs. 212(1). 84–95. 3 indexed citations
11.
Dolan, Connor P., Christopher L. Dearth, Benjamin T. Corona, & Stephen M. Goldman. (2022). Retrospective characterization of a rat model of volumetric muscle loss. BMC Musculoskeletal Disorders. 23(1). 814–814. 5 indexed citations
12.
Janakiram, Naveena B., et al.. (2022). Efficacy of non-surgical interventions for promoting improved functional outcomes following acute compartment syndrome: A systematic review. PLoS ONE. 17(9). e0274132–e0274132. 3 indexed citations
13.
Aguilar, Carlos A., et al.. (2018). Multiscale analysis of a regenerative therapy for treatment of volumetric muscle loss injury. Cell Death Discovery. 4(1). 33–33. 103 indexed citations
14.
Goldman, Stephen M., Beth E. P. Henderson, James Walters, & Benjamin T. Corona. (2018). Co-delivery of a laminin-111 supplemented hyaluronic acid based hydrogel with minced muscle graft in the treatment of volumetric muscle loss injury. PLoS ONE. 13(1). e0191245–e0191245. 42 indexed citations
15.
Hurtgen, Brady J., Catherine L. Ward, Chrissy M. Leopold Wager, et al.. (2017). Autologous minced muscle grafts improve endogenous fracture healing and muscle strength after musculoskeletal trauma. Physiological Reports. 5(14). e13362–e13362. 39 indexed citations
16.
Goldman, Stephen M., Beth E. P. Henderson, & Benjamin T. Corona. (2017). Evaluation of bone marrow mononuclear cells as an adjunct therapy to minced muscle graft for the treatment of volumetric muscle loss injuries. Stem Cell Research & Therapy. 8(1). 142–142. 13 indexed citations
17.
Greising, Sarah M., et al.. (2017). Unwavering Pathobiology of Volumetric Muscle Loss Injury. Scientific Reports. 7(1). 13179–13179. 101 indexed citations
18.
Hurtgen, Brady J., Catherine L. Ward, Koyal Garg, et al.. (2016). Severe muscle trauma triggers heightened and prolonged local musculoskeletal inflammation and impairs adjacent tibia fracture healing. IUScholarWorks (Indiana University). 80 indexed citations
19.
Ward, Catherine L., Beth E. Pollot, Stephen M. Goldman, et al.. (2016). Autologous Minced Muscle Grafts Improve Muscle Strength in a Porcine Model of Volumetric Muscle Loss Injury. Journal of Orthopaedic Trauma. 30(12). e396–e403. 50 indexed citations
20.
Frenkel, Sally R., Gino Bradica, John H. Brekke, et al.. (2005). Regeneration of articular cartilage – Evaluation of osteochondral defect repair in the rabbit using multiphasic implants. Osteoarthritis and Cartilage. 13(9). 798–807. 98 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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