Savio L.C. Woo
- Molecular Biology top 0.2%
- Genetics top 0.05%
- Clinical Biochemistry top 0.02%
- Oncology top 1%
- Surgery top 2%
- Co-authors
- Bert W. O’MalleyFred D. LedleyAnthony G. DiLellaMilton J. FinegoldRandy C. EisensmithT.S. ChandraShu‐Hsia ChenMark A. Kay
- Topics
- Virus-based gene therapy research (87 papers)Metabolism and Genetic Disorders (76 papers)Animal Genetics and Reproduction (36 papers)
- Partner nations
- United StatesGermanyDenmark
In The Last Decade
Savio L.C. Woo
279 papers receiving 16.5k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Molecular Biology 10.9k
- Genetics 6.9k
- Clinical Biochemistry 3.0k
- Oncology 2.6k
- Surgery 1.6k
Countries citing papers authored by Savio L.C. Woo
This map shows the geographic impact of Savio L.C. Woo'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 Savio L.C. Woo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Savio L.C. Woo more than expected).
Fields of papers citing papers by Savio L.C. Woo
This network shows the impact of papers produced by Savio L.C. Woo. 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 Savio L.C. Woo. The network helps show where Savio L.C. Woo may publish in the future.
Co-authorship network of co-authors of Savio L.C. Woo
This figure shows the co-authorship network connecting the top 25 collaborators of Savio L.C. Woo. A scholar is included among the top collaborators of Savio L.C. Woo 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 Savio L.C. Woo. Savio L.C. Woo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 64 | |
| 2 | 19 | |
| 3 | 8 | |
| 4 | 59 | |
| 5 | 7 | |
| 6 | 51 | |
| 7 | 1 | |
| 8 | Imaging adenoviral-mediated herpes virus thymidine kinase gene transfer and expression in vivo. | 131 |
| 9 | Distribution, persistency, toxicity, and lack of replication of an E1A-deficient adenoviral vector after intracardiac delivery in the cotton rat. | 10 |
| 10 | 52 | |
| 11 | 22 | |
| 12 | 6 | |
| 13 | 155 | |
| 14 | Compound heterozygosity in nonphenylketonuria hyperphenylalanemia: the contribution of mutations for classical phenylketonuria. | 26 |
| 15 | 25 | |
| 16 | 51 | |
| 17 | 72 | |
| 18 | 0 | |
| 19 | 14 | |
| 20 | 27 |
About Savio L.C. Woo
Savio L.C. Woo is a scholar working on Clinical Biochemistry, Genetics and Molecular Biology, having authored 282 papers that have together received 17.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (87 papers), Metabolism and Genetic Disorders (76 papers) and Animal Genetics and Reproduction (36 papers). The work is most often cited by research in Clinical Biochemistry (3.0k citations), Genetics (6.9k citations) and Molecular Biology (10.9k citations). Savio L.C. Woo has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Bert W. O’Malley, Fred D. Ledley, Anthony G. DiLella, Milton J. Finegold, Randy C. Eisensmith, T.S. Chandra, Shu‐Hsia Chen, Mark A. Kay, Vincent J. Kidd and Katsunori Shinozaki. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.