Frank Lay
Impact in
- Rehabilitation top 5%
- Wound Healing and Treatments
- Urology top 10%
Papers in
-
- RNA Interference and Gene Delivery 2
- Hedgehog Signaling Pathway Studies 2
-
- Wound Healing and Treatments 6
- 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)Casey Hamilton (2 shared papers)M. H. Bulmer (2 shared papers)Aerielle E. Matsangos (7 shared papers)Jean-Dominique Doublet (2 shared papers)
- Journals
- Gene Therapy (2 papers)The Journal of Urology (2 papers)Journal of the American College of Surgeons (2 papers)Journal of Clinical Oncology (1 paper)Insect Molecular Biology (1 paper)
- Partner nations
- United StatesFranceChina
In The Last Decade
Frank Lay
20 papers receiving 898 citations
Peers
Comparison fields: 5 of 96
- Rehabilitation 128
- Urology 44
- Insect Science 89
- Pulmonary and Respiratory Medicine 171
- Genetics 154
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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 242 | |
| 2 | 2016 | 237 | |
| 3 | 2021 | 98 | |
| 4 | 2011 | 66 | |
| 5 | 2017 | 47 | |
| 6 | 2010 | 41 | |
| 7 | Efficacy of Chitosan-Based Dressing for Control of Bleeding in Excisional Wounds. | 2018 | 34 |
| 8 | 2013 | 28 | |
| 9 | 2011 | 22 | |
| 10 | 2014 | 22 | |
| 11 | 2015 | 19 | |
| 12 | 2002 | 16 | |
| 13 | 2019 | 12 | |
| 14 | 2020 | 10 | |
| 15 | 2016 | 10 | |
| 16 | 2022 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2018 | 2 | |
| 19 | 2017 | 1 | |
| 20 | 2019 | 1 |
About Frank Lay
Frank Lay is a scholar working on Molecular Biology, Rehabilitation, Genetics, Cancer Research and Genetics, having authored 21 papers that have together received 915 indexed citations. Recurring topics across this work include Wound Healing and Treatments (6 papers), Mesenchymal stem cell research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), RNA Interference and Gene Delivery (2 papers), Insect and Arachnid Ecology and Behavior (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers), Hedgehog Signaling Pathway Studies (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). The work is most often cited by research in Rehabilitation (128 citations), Urology (44 citations), Insect Science (89 citations), Pulmonary and Respiratory Medicine (171 citations) and Genetics (154 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, Casey Hamilton, M. H. Bulmer, Aerielle E. Matsangos, Jean-Dominique Doublet, Éric Barret and Guy Vallancien. Their work appears in journals such as Gene Therapy, The Journal of Urology, Journal of the American College of Surgeons, Journal of Clinical Oncology and Insect Molecular 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.