Wanda G. Beattie
- Molecular Biology top 5%
- Genetics top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Immunology top 10%
- Reproductive Medicine top 5%
- Co-authors
- Bert W. O’MalleyMing‐Jer TsaiJoel KrasnowRichard G. CookLee‐Ho WangSophia Y. TsaiAchilles DugaiczykGerard J. Hickey
- Topics
- RNA and protein synthesis mechanisms (11 papers)Advanced biosensing and bioanalysis techniques (10 papers)DNA and Nucleic Acid Chemistry (9 papers)
- Partner nations
- United StatesMexicoAustralia
In The Last Decade
Wanda G. Beattie
35 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 1.6k
- Genetics 950
- Endocrinology, Diabetes and Metabolism 308
- Immunology 265
- Reproductive Medicine 209
Countries citing papers authored by Wanda G. Beattie
This map shows the geographic impact of Wanda G. Beattie'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 Wanda G. Beattie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanda G. Beattie more than expected).
Fields of papers citing papers by Wanda G. Beattie
This network shows the impact of papers produced by Wanda G. Beattie. 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 Wanda G. Beattie. The network helps show where Wanda G. Beattie may publish in the future.
Co-authorship network of co-authors of Wanda G. Beattie
This figure shows the co-authorship network connecting the top 25 collaborators of Wanda G. Beattie. A scholar is included among the top collaborators of Wanda G. Beattie 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 Wanda G. Beattie. Wanda G. Beattie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 24 | |
| 3 | 41 | |
| 4 | 45 | |
| 5 | Advances in genosensor research. | 64 |
| 6 | 56 | |
| 7 | 18 | |
| 8 | 229 | |
| 9 | 162 | |
| 10 | 64 | |
| 11 | 430 | |
| 12 | 97 | |
| 13 | 266 | |
| 14 | 28 | |
| 15 | 28 | |
| 16 | 59 | |
| 17 | Comparison of the sequences at specific sites on DNA cleaved by the antitumor antibiotics talisomycin and bleomycin. | 18 |
| 18 | 35 | |
| 19 | 4 | |
| 20 | 28 |
About Wanda G. Beattie
Wanda G. Beattie is a scholar working on Genetics, Molecular Biology and Reproductive Medicine, having authored 35 papers that have together received 2.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), Advanced biosensing and bioanalysis techniques (10 papers) and DNA and Nucleic Acid Chemistry (9 papers). The work is most often cited by research in Genetics (950 citations), Reproductive Medicine (209 citations) and Molecular Biology (1.6k citations). Wanda G. Beattie has collaborated with scholars based in United States, Mexico and Australia. Frequent co-authors include Bert W. O’Malley, Ming‐Jer Tsai, Joel Krasnow, Richard G. Cook, Lee‐Ho Wang, Sophia Y. Tsai, Achilles Dugaiczyk, Gerard J. Hickey, Orla M. Conneely and Ria B. Oonk. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.