Jon A. Rowley

6.8k citations
46 papers · 5.2k indexed · 2 hit papers · h-index 26

Jon A. Rowley

41 papers receiving 5.1k citations

Hit Papers

Unlocking value for a circular ...366199920262008201750010001.5k

Peers

Jon A. Rowley
Comparison fields: 5 of 154
  • Molecular Medicine 919
  • Biomaterials 1.7k
  • Genetics 636
  • Biomedical Engineering 2.5k
  • Surfaces, Coatings and Films 314
Replace Jennifer H. Elisseeff with:
Jennifer H. Elisseeff United States
Cristina C. Barrias Portugal
Oju Jeon United States
Shyni Varghese United States
Johnna S. Temenoff United States
Eduardo A. Silva United States
Sun‐Woong Kang South Korea
Liliana Moreira Teixeira Netherlands
Nathaniel S. Hwang South Korea
Jon A. Rowley relative to Jennifer H. Elisseeff United States Jennifer H. Elisseeff's profile →
Citations per field
00.5×1.5×
Jennifer H. Elisseeff · 1×
Citations per year

Countries citing papers authored by Jon A. Rowley

Since Specialization
Citations

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

Fields of papers citing papers by Jon A. Rowley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon A. Rowley. 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 Jon A. Rowley. The network helps show where Jon A. Rowley may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jon A. Rowley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jon A. Rowley Line = papers co-authored together Jon A. Rowley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20230
3 20210
4 202038
5 202082
6 20192
7 201868
8 201732
9 2015101
10 201436
11 201210
12 20091
13 2008185
14 20051
15 2004101
16 2002313
17
Controlling myoblast phenotype with RGD -modified alginate matrices.
20011
18 200164
19 2000408
20
Alginate hydrogels as synthetic extracellular matrix materialsbreakdown →
19991753

About Jon A. Rowley

Jon A. Rowley is a scholar working on Genetics, Biomedical Engineering, Molecular Medicine, Biomaterials and Surgery, having authored 46 papers that have together received 5.2k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (22 papers), Tissue Engineering and Regenerative Medicine (11 papers), Mesenchymal stem cell research (10 papers), Viral Infectious Diseases and Gene Expression in Insects (10 papers), Pluripotent Stem Cells Research (7 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), Bone Tissue Engineering Materials (5 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Molecular Medicine (919 citations), Biomaterials (1.7k citations), Genetics (636 citations), Biomedical Engineering (2.5k citations) and Surfaces, Coatings and Films (314 citations). Jon A. Rowley has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include David Mooney, Gerard J. Madlambayan, Petra Eiselt, Kuen Yong Lee, Kamal H. Bouhadir, Eben Alsberg, Kenneth W. Anderson, John J. Schmidt, Hyun Joon Kong and Martin C. Peters. Their work appears in journals such as Cytotherapy, Biotechnology and Bioengineering, Journal of Biomedical Materials Research, Regenerative Medicine and Advanced Materials.

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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