Paul J. Wrighton
Impact in
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Hippo pathway signaling and YAP/TAZ
- Zebrafish Biomedical Research Applications
- Biomedical Engineering top 10%
- 3D Printing in Biomedical Research
- Bone Tissue Engineering Materials
Papers in
-
- Pluripotent Stem Cells Research 5
- Epigenetics and DNA Methylation 2
-
- Zebrafish Biomedical Research Applications 5
- Cellular Mechanics and Interactions 3
- Hippo pathway signaling and YAP/TAZ 2
- Co-authors
- Laura L. Kiessling (6 shared papers)Joseph R. Klim (3 shared papers)Lingyin Li (1 shared paper)Marian S. Piekarczyk (1 shared paper)Samira Musah (2 shared papers)Wolfram Goessling (9 shared papers)Stephen A. Morin (1 shared paper)Daniel B. Zwick (1 shared paper)
- Journals
- Blood (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Methods (1 paper)ACS Nano (1 paper)ACS Chemical Biology (1 paper)
- Partner nations
- United StatesBrazilBulgaria
In The Last Decade
Paul J. Wrighton
15 papers receiving 821 citations
Peers
Comparison fields: 5 of 77
- Cell Biology 267
- Biomedical Engineering 361
- Molecular Biology 473
- Biomaterials 75
- Immunology and Allergy 29
Countries citing papers authored by Paul J. Wrighton
This map shows the geographic impact of Paul J. Wrighton'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 Paul J. Wrighton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul J. Wrighton more than expected).
Fields of papers citing papers by Paul J. Wrighton
This network shows the impact of papers produced by Paul J. Wrighton. 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 Paul J. Wrighton. The network helps show where Paul J. Wrighton may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul J. Wrighton, 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 | 2010 | 227 | |
| 2 | 2014 | 148 | |
| 3 | 2012 | 141 | |
| 4 | 2020 | 75 | |
| 5 | 2014 | 54 | |
| 6 | 2020 | 41 | |
| 7 | 2021 | 40 | |
| 8 | 2020 | 36 | |
| 9 | 2019 | 35 | |
| 10 | 2011 | 18 | |
| 11 | 2019 | 9 | |
| 12 | 2024 | 2 | |
| 13 | 2017 | 1 | |
| 14 | 2019 | 1 | |
| 15 | 2019 | 1 |
About Paul J. Wrighton
Paul J. Wrighton is a scholar working on Molecular Biology, Cell Biology, Biomedical Engineering, Surgery and Obstetrics and Gynecology, having authored 15 papers that have together received 829 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (5 papers), Zebrafish Biomedical Research Applications (5 papers), 3D Printing in Biomedical Research (4 papers), Cellular Mechanics and Interactions (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Epigenetics and DNA Methylation (2 papers), Cell Adhesion Molecules Research (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). The work is most often cited by research in Cell Biology (267 citations), Biomedical Engineering (361 citations), Molecular Biology (473 citations), Biomaterials (75 citations) and Immunology and Allergy (29 citations). Paul J. Wrighton has collaborated with scholars based in United States, Brazil and Bulgaria. Frequent co-authors include Laura L. Kiessling, Joseph R. Klim, Lingyin Li, Marian S. Piekarczyk, Samira Musah, Wolfram Goessling, Stephen A. Morin, Daniel B. Zwick, Song Jin and Yefim Zaltsman. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Nature Methods, ACS Nano and ACS Chemical Biology.
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.