Frank Lay
Impact in
- Rehabilitation top 5%
- Wound Healing and Treatments
- Urology top 5%
Papers in
-
- Hedgehog Signaling Pathway Studies 3
- Epigenetics and DNA Methylation 3
-
- Wound Healing and Treatments 7
- Co-authors
- John W. Harmon (16 shared papers)Guy P. Marti (12 shared papers)Louis J. Born (10 shared papers)Amir Ansari (7 shared papers)M. H. Bulmer (2 shared papers)Casey Hamilton (2 shared papers)Jean-Dominique Doublet (2 shared papers)Xavier Cathelineau (2 shared papers)
- Journals
- The Journal of Urology (2 papers)Gene Therapy (2 papers)Journal of the American College of Surgeons (2 papers)Molecular Therapy (1 paper)Aging (1 paper)
- Partner nations
- United StatesFranceChina
In The Last Decade
Frank Lay
20 papers receiving 880 citations
Peers
Comparison fields: 5 of 102
- Rehabilitation 134
- Urology 98
- Insect Science 90
- Pulmonary and Respiratory Medicine 216
- Genetics 156
Countries citing papers authored by Frank Lay
This map shows the geographic impact of Frank Lay'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 Frank Lay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Lay more than expected).
Fields of papers citing papers by Frank Lay
This network shows the impact of papers produced by Frank Lay. 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 Frank Lay. The network helps show where Frank Lay may publish in the future.
Co-authors
The 25 scholars most cited alongside Frank Lay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 244 | |
| 2 | 2016 | 230 | |
| 3 | 2021 | 93 | |
| 4 | 2011 | 64 | |
| 5 | 2017 | 46 | |
| 6 | 2010 | 41 | |
| 7 | Efficacy of Chitosan-Based Dressing for Control of Bleeding in Excisional Wounds. | 2018 | 34 |
| 8 | 2013 | 27 | |
| 9 | 2011 | 22 | |
| 10 | 2014 | 22 | |
| 11 | 2015 | 19 | |
| 12 | 2002 | 16 | |
| 13 | 2019 | 13 | |
| 14 | 2016 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2023 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2018 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2017 | 1 |
About Frank Lay
Frank Lay is a scholar working on Molecular Biology, Rehabilitation, Genetics, Cancer Research and Genetics, having authored 22 papers that have together received 899 indexed citations. Recurring topics across this work include Wound Healing and Treatments (7 papers), Mesenchymal stem cell research (4 papers), Hedgehog Signaling Pathway Studies (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Insect and Arachnid Ecology and Behavior (2 papers), Cancer Research and Treatments (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). The work is most often cited by research in Rehabilitation (134 citations), Urology (98 citations), Insect Science (90 citations), Pulmonary and Respiratory Medicine (216 citations) and Genetics (156 citations). Frank Lay has collaborated with scholars based in United States, France and China. Frequent co-authors include John W. Harmon, Guy P. Marti, Louis J. Born, Amir Ansari, M. H. Bulmer, Casey Hamilton, Jean-Dominique Doublet, Xavier Cathelineau, Guy Vallancien and Éric Barret. Their work appears in journals such as The Journal of Urology, Gene Therapy, Journal of the American College of Surgeons, Molecular Therapy and Aging.
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.