J M McPherson
- Molecular Biology top 10%
- Cell Biology top 5%
- Rheumatology top 5%
- Surgery
- Biomaterials top 5%
- Co-authors
- Paul BörnsteinSteven J. SawamuraA ContiHelene SageR. Christy ArmstrongAndrea Y. ThompsonSaeid M. SeyedinGerald R. Galluppi
- Topics
- TGF-β signaling in diseases (3 papers)Collagen: Extraction and Characterization (3 papers)Surgical Sutures and Adhesives (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United States
In The Last Decade
J M McPherson
19 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 810
- Cell Biology 303
- Rheumatology 284
- Surgery 260
- Biomaterials 230
Countries citing papers authored by J M McPherson
This map shows the geographic impact of J M McPherson'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 J M McPherson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J M McPherson more than expected).
Fields of papers citing papers by J M McPherson
This network shows the impact of papers produced by J M McPherson. 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 J M McPherson. The network helps show where J M McPherson may publish in the future.
Co-authorship network of co-authors of J M McPherson
This figure shows the co-authorship network connecting the top 25 collaborators of J M McPherson. A scholar is included among the top collaborators of J M McPherson 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 J M McPherson. J M McPherson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 74 | |
| 3 | 2 | |
| 4 | 47 | |
| 5 | 30 | |
| 6 | Exogenous transforming growth factor-beta 2 enhances connective tissue formation and wound strength in guinea pig dermal wounds healing by secondary intent. | 54 |
| 7 | 185 | |
| 8 | 29 | |
| 9 | Effects of growth factors in vivo. I. Cell ingrowth into porous subcutaneous chambers. | 201 |
| 10 | 3 | |
| 11 | 156 | |
| 12 | 77 | |
| 13 | Cartilage-inducing factor-A. Apparent identity to transforming growth factor-beta.breakdown → | 470 |
| 14 | 104 | |
| 15 | 9 | |
| 16 | 70 | |
| 17 | 187 | |
| 18 | 73 | |
| 19 | 17 |
About J M McPherson
J M McPherson is a scholar working on Rehabilitation, Rheumatology and Cell Biology, having authored 19 papers that have together received 1.8k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (3 papers), Collagen: Extraction and Characterization (3 papers) and Surgical Sutures and Adhesives (3 papers). The work is most often cited by research in Rehabilitation (227 citations), Immunology and Allergy (199 citations) and Urology (195 citations). J M McPherson has collaborated with scholars based in United States. Frequent co-authors include Paul Börnstein, Steven J. Sawamura, A Conti, Helene Sage, R. Christy Armstrong, Andrea Y. Thompson, Saeid M. Seyedin, Gerald R. Galluppi, H Bentz and David Rosen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.