R.T. Frank
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Mesenchymal stem cell research
- Virus-based gene therapy research
Papers in ⓘ
- Genetics 3
- Co-authors
- H. Damasio (1 shared paper)Karen S. Aboody (8 shared papers)Joseph Najbauer (7 shared papers)Marianne Z. Metz (5 shared papers)Seung Up Kim (4 shared papers)Margarita Gutova (4 shared papers)Stephen E. Kendall (4 shared papers)Rex Moats (2 shared papers)
- Journals
- American Journal of Obstetrics and Gynecology (5 papers)Stem Cells (3 papers)PLoS ONE (3 papers)Fertility and Sterility (2 papers)Science Translational Medicine (1 paper)
- Partner nations
- United StatesCanadaNorway
In The Last Decade
R.T. Frank
21 papers receiving 825 citations
Peers
Comparison fields: 5 of 107
- Developmental Neuroscience 88
- Genetics 198
- Cognitive Neuroscience 170
- Biotechnology 69
- Oncology 163
Countries citing papers authored by R.T. Frank
This map shows the geographic impact of R.T. Frank'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 R.T. Frank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.T. Frank more than expected).
Fields of papers citing papers by R.T. Frank
This network shows the impact of papers produced by R.T. Frank. 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 R.T. Frank. The network helps show where R.T. Frank may publish in the future.
Co-authors
The 25 scholars most cited alongside R.T. Frank, 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 | 1992 | 197 | |
| 2 | 2013 | 184 | |
| 3 | 2008 | 95 | |
| 4 | 2009 | 74 | |
| 5 | 2009 | 55 | |
| 6 | 2009 | 40 | |
| 7 | 2011 | 33 | |
| 8 | 2015 | 32 | |
| 9 | 2010 | 29 | |
| 10 | 1965 | 29 | |
| 11 | 2012 | 27 | |
| 12 | 1956 | 17 | |
| 13 | 1958 | 17 | |
| 14 | Statistical evaluation of the effect of hormonal contraceptives on the cytologic smear pattern. | 1966 | 15 |
| 15 | 1966 | 10 | |
| 16 | 1969 | 6 | |
| 17 | 1968 | 5 | |
| 18 | 1954 | 4 | |
| 19 | 2007 | 4 | |
| 20 | 1959 | 2 |
About R.T. Frank
R.T. Frank is a scholar working on Reproductive Medicine, Genetics, Developmental Neuroscience, Public Health, Environmental and Occupational Health and Immunology, having authored 21 papers that have together received 876 indexed citations. Recurring topics across this work include Reproductive Health and Contraception (3 papers), Reproductive System and Pregnancy (3 papers), RNA Interference and Gene Delivery (3 papers), Neuroblastoma Research and Treatments (2 papers), Cancer Cells and Metastasis (2 papers), CAR-T cell therapy research (2 papers), Ectopic Pregnancy Diagnosis and Management (2 papers) and Pregnancy and Medication Impact (2 papers). The work is most often cited by research in Developmental Neuroscience (88 citations), Genetics (198 citations), Cognitive Neuroscience (170 citations), Biotechnology (69 citations) and Oncology (163 citations). R.T. Frank has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include H. Damasio, Karen S. Aboody, Joseph Najbauer, Marianne Z. Metz, Seung Up Kim, Margarita Gutova, Stephen E. Kendall, Rex Moats, Carlotta A. Glackin and Christopher Tietze. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Stem Cells, PLoS ONE, Fertility and Sterility and Science Translational 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.