Stephen M. Goldman
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications 5
- Genetics top 10%
- Mesenchymal stem cell research 6
- Surgery top 10%
- Tissue Engineering and Regenerative Medicine 14
- Knee injuries and reconstruction techniques 7
- Rehabilitation top 5%
- Urology top 5%
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- Bone fractures and treatments 19
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- Muscle Physiology and Disorders 16
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- Osteoarthritis Treatment and Mechanisms 7
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- Bone Tissue Engineering Materials 4
- Co-authors
- Benjamin T. CoronaSarah M. GreisingBeth E. PollotCatherine L. WardJoseph C. WenkeCarlos A. AguilarChristopher L. DearthTodd O. McKinley
- Cited by
- BiomaterialsGeneticsSurgery
- Journals
- SHILAP Revista de lepidopterología (1 paper)The Journal of Immunology (1 paper)PLoS ONE (3 papers)
- Partner nations
- United StatesUnited Arab EmiratesNorway
In The Last Decade
Stephen M. Goldman
44 papers receiving 924 citations
Peers
Comparison fields: 5 of 80
- Biomaterials 182
- Genetics 126
- Surgery 519
- Rehabilitation 77
- Urology 64
Countries citing papers authored by Stephen M. Goldman
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
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
The 25 scholars most cited alongside Stephen M. Goldman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 0 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 5 | |
| 12 | 2022 | 3 | |
| 13 | 2018 | 103 | |
| 14 | 2018 | 42 | |
| 15 | 2017 | 39 | |
| 16 | 2017 | 13 | |
| 17 | 2017 | 101 | |
| 18 | Severe muscle trauma triggers heightened and prolonged local musculoskeletal inflammation and impairs adjacent tibia fracture healing | 2016 | 80 |
| 19 | 2016 | 50 | |
| 20 | 2005 | 98 |
About Stephen M. Goldman
Stephen M. Goldman is a scholar working on Surgery, Rehabilitation and Epidemiology, having authored 49 papers that have together received 934 indexed citations. Recurring topics across this work include Bone fractures and treatments (19 papers), Muscle Physiology and Disorders (16 papers), Tissue Engineering and Regenerative Medicine (14 papers), Knee injuries and reconstruction techniques (7 papers), Osteoarthritis Treatment and Mechanisms (7 papers), Mesenchymal stem cell research (6 papers), Electrospun Nanofibers in Biomedical Applications (5 papers) and Bone Tissue Engineering Materials (4 papers). The work is most often cited by research in Biomaterials (182 citations), Genetics (126 citations) and Surgery (519 citations). Stephen M. Goldman has collaborated with scholars based in United States, United Arab Emirates and Norway. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.
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.