D. Gal
Impact in
- Genetics top 10%
- Virus-based gene therapy research
-
- RNA Interference and Gene Delivery
- Angiogenesis and VEGF in Cancer
- CRISPR and Genetic Engineering
Papers in
-
- RNA Interference and Gene Delivery 4
- CRISPR and Genetic Engineering 3
- Genetics 5
- Virus-based gene therapy research 4
- Connective tissue disorders research 1
- Co-authors
- Guy Leclerc (4 shared papers)L Weir (4 shared papers)Jeffrey M. Isner (5 shared papers)S Takeshita (3 shared papers)J. Geoffrey Pickering (3 shared papers)J M Isner (4 shared papers)Abraham Katzir (3 shared papers)R. H. Clarke (3 shared papers)
- Journals
- Circulation (3 papers)Journal of Clinical Investigation (2 papers)Clinical Cardiology (1 paper)Applied Physics Letters (1 paper)American Heart Journal (1 paper)
- Partner nations
- IsraelPakistanUnited States
In The Last Decade
D. Gal
15 papers receiving 550 citations
Peers
Comparison fields: 5 of 78
- Genetics 178
- Molecular Biology 293
- Biomaterials 54
- Surgery 167
- Radiology, Nuclear Medicine and Imaging 84
Countries citing papers authored by D. Gal
This map shows the geographic impact of D. Gal'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 D. Gal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Gal more than expected).
Fields of papers citing papers by D. Gal
This network shows the impact of papers produced by D. Gal. 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 D. Gal. The network helps show where D. Gal may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Gal, 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 | 1992 | 110 | |
| 2 | 1994 | 92 | |
| 3 | 1994 | 69 | |
| 4 | Direct myocardial transfection in two animal models. Evaluation of parameters affecting gene expression and percutaneous gene delivery. | 1993 | 62 |
| 5 | 1990 | 46 | |
| 6 | 1992 | 46 | |
| 7 | 1987 | 41 | |
| 8 | 1989 | 36 | |
| 9 | 1988 | 28 | |
| 10 | 2006 | 20 | |
| 11 | 1986 | 9 | |
| 12 | 1997 | 9 | |
| 13 | 1987 | 8 | |
| 14 | 1986 | 2 | |
| 15 | Contrasting effects of continuous wave and pulsed laser irradiation on vasoreactivity of atherosclerotic vessels in vitro | 1989 | 1 |
About D. Gal
D. Gal is a scholar working on Molecular Biology, Genetics, Surgery, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 579 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), RNA Interference and Gene Delivery (4 papers), CRISPR and Genetic Engineering (3 papers), Laser Applications in Dentistry and Medicine (3 papers), Dermatologic Treatments and Research (2 papers), Coronary Artery Anomalies (2 papers), Laser Design and Applications (2 papers) and Connective tissue disorders research (1 paper). The work is most often cited by research in Genetics (178 citations), Molecular Biology (293 citations), Biomaterials (54 citations), Surgery (167 citations) and Radiology, Nuclear Medicine and Imaging (84 citations). D. Gal has collaborated with scholars based in Israel, Pakistan and United States. Frequent co-authors include Guy Leclerc, L Weir, Jeffrey M. Isner, S Takeshita, J. Geoffrey Pickering, J M Isner, Abraham Katzir, R. H. Clarke, Sigrid Nikol and Anthony J. Rongione. Their work appears in journals such as Circulation, Journal of Clinical Investigation, Clinical Cardiology, Applied Physics Letters and American Heart Journal.
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.