Vincent Fitzpatrick
- Molecular Biology top 10%
- Biomedical Engineering top 5%
- Biomaterials top 2%
- Oncology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- David L. KaplanC. James InglesMark X. SliwkowskiRichard VandlenGabriele SchaeferChunmei LiPhilip HannaAhmed Ibrahim
- Topics
- Silk-based biomaterials and applications (13 papers)Bone Tissue Engineering Materials (10 papers)Electrospun Nanofibers in Biomedical Applications (5 papers)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Vincent Fitzpatrick
30 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 1.0k
- Biomedical Engineering 768
- Biomaterials 569
- Oncology 564
- Radiology, Nuclear Medicine and Imaging 400
Countries citing papers authored by Vincent Fitzpatrick
This map shows the geographic impact of Vincent Fitzpatrick'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 Vincent Fitzpatrick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent Fitzpatrick more than expected).
Fields of papers citing papers by Vincent Fitzpatrick
This network shows the impact of papers produced by Vincent Fitzpatrick. 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 Vincent Fitzpatrick. The network helps show where Vincent Fitzpatrick may publish in the future.
Co-authorship network of co-authors of Vincent Fitzpatrick
This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Fitzpatrick. A scholar is included among the top collaborators of Vincent Fitzpatrick 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 Vincent Fitzpatrick. Vincent Fitzpatrick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 23 | |
| 3 | 63 | |
| 4 | 9 | |
| 5 | 14 | |
| 6 | 160 | |
| 7 | 34 | |
| 8 | 19 | |
| 9 | 48 | |
| 10 | 24 | |
| 11 | 27 | |
| 12 | 53 | |
| 13 | 20 | |
| 14 | 23 | |
| 15 | 56 | |
| 16 | 80 | |
| 17 | 35 | |
| 18 | Coexpression of erbB2 and erbB3 proteins reconstitutes a high affinity receptor for heregulin.breakdown → | 560 |
| 19 | 86 | |
| 20 | 47 |
About Vincent Fitzpatrick
Vincent Fitzpatrick is a scholar working on Biomaterials, Biomedical Engineering and Immunology and Allergy, having authored 30 papers that have together received 2.5k indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (13 papers), Bone Tissue Engineering Materials (10 papers) and Electrospun Nanofibers in Biomedical Applications (5 papers). The work is most often cited by research in Biomaterials (569 citations), Oncology (564 citations) and Biomedical Engineering (768 citations). Vincent Fitzpatrick has collaborated with scholars based in United States, France and Canada. Frequent co-authors include David L. Kaplan, C. James Ingles, Mark X. Sliwkowski, Richard Vandlen, Gabriele Schaefer, Chunmei Li, Philip Hanna, Ahmed Ibrahim, Chengchen Guo and Aron Lechtig. Their work appears in journals such as Nature, Advanced Materials and Journal of Biological Chemistry.
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.