Michael Lukason
Impact in
- Ophthalmology top 2%
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
- Genetics top 5%
- Virus-based gene therapy research
Papers in
-
- Retinal Development and Disorders 8
- RNA Interference and Gene Delivery 8
- CRISPR and Genetic Engineering 2
- Genetics 10
- Virus-based gene therapy research 9
- Co-authors
- Seng H. Cheng (9 shared papers)Abraham Scaria (12 shared papers)Elizabeth Barry (5 shared papers)Guo-Xiang Ruan (2 shared papers)Dan Yu (1 shared paper)Ronald K. Scheule (4 shared papers)Jennifer D. Tousignant (3 shared papers)Simon J. Eastman (3 shared papers)
- Journals
- Molecular Therapy (9 papers)Human Gene Therapy (6 papers)Gene Therapy (2 papers)Molecular Therapy — Methods & Clinical Development (1 paper)PubMed (1 paper)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Michael Lukason
19 papers receiving 914 citations
Peers
Comparison fields: 5 of 63
- Ophthalmology 199
- Genetics 389
- Business and International Management 24
- Molecular Biology 736
- Aging 12
Countries citing papers authored by Michael Lukason
This map shows the geographic impact of Michael Lukason'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 Michael Lukason with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Lukason more than expected).
Fields of papers citing papers by Michael Lukason
This network shows the impact of papers produced by Michael Lukason. 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 Michael Lukason. The network helps show where Michael Lukason may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Lukason, 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 | 2017 | 221 | |
| 2 | 2010 | 143 | |
| 3 | 2010 | 119 | |
| 4 | 2008 | 94 | |
| 5 | 2010 | 74 | |
| 6 | 1997 | 74 | |
| 7 | 1997 | 68 | |
| 8 | 2002 | 34 | |
| 9 | 2020 | 30 | |
| 10 | 2018 | 28 | |
| 11 | 1998 | 23 | |
| 12 | 2009 | 17 | |
| 13 | 2016 | 14 | |
| 14 | 2000 | 12 | |
| 15 | 2022 | 4 | |
| 16 | 2016 | 3 | |
| 17 | 2008 | 3 | |
| 18 | Modulation of human plasma fibronectin levels following exercise. | 1989 | 2 |
| 19 | 2006 | 1 |
About Michael Lukason
Michael Lukason is a scholar working on Molecular Biology, Genetics, Ophthalmology, Infectious Diseases and Oncology, having authored 19 papers that have together received 964 indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), Retinal Development and Disorders (8 papers), RNA Interference and Gene Delivery (8 papers), Retinal Diseases and Treatments (4 papers), Retinal and Optic Conditions (3 papers), Viral gastroenteritis research and epidemiology (2 papers), CRISPR and Genetic Engineering (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Ophthalmology (199 citations), Genetics (389 citations), Business and International Management (24 citations), Molecular Biology (736 citations) and Aging (12 citations). Michael Lukason has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Seng H. Cheng, Abraham Scaria, Elizabeth Barry, Guo-Xiang Ruan, Dan Yu, Ronald K. Scheule, Jennifer D. Tousignant, Simon J. Eastman, Hillard Rubin and Samuel C. Wadsworth. Their work appears in journals such as Molecular Therapy, Human Gene Therapy, Gene Therapy, Molecular Therapy — Methods & Clinical Development and PubMed.
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.