Rebecca A. Previs
- Molecular Biology
- Oncology top 5%
- Reproductive Medicine top 2%
- Cancer Research top 10%
- Obstetrics and Gynecology top 2%
- Co-authors
- Anil K. SoodRobert L. ColemanAdrian L. HarrisAngeles Alvarez SecordHeather J. DaltonTomi AkinyemijuWei HuJean M. Hansen
- Topics
- Ovarian cancer diagnosis and treatment (38 papers)Endometrial and Cervical Cancer Treatments (19 papers)Cancer Genomics and Diagnostics (16 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaCancer Research
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Rebecca A. Previs
111 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 496
- Oncology 469
- Reproductive Medicine 330
- Cancer Research 286
- Obstetrics and Gynecology 256
Countries citing papers authored by Rebecca A. Previs
This map shows the geographic impact of Rebecca A. Previs'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 Rebecca A. Previs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rebecca A. Previs more than expected).
Fields of papers citing papers by Rebecca A. Previs
This network shows the impact of papers produced by Rebecca A. Previs. 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 Rebecca A. Previs. The network helps show where Rebecca A. Previs may publish in the future.
Co-authorship network of co-authors of Rebecca A. Previs
This figure shows the co-authorship network connecting the top 25 collaborators of Rebecca A. Previs. A scholar is included among the top collaborators of Rebecca A. Previs 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 Rebecca A. Previs. Rebecca A. Previs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 14 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 50 | |
| 10 | 8 | |
| 11 | 20 | |
| 12 | 42 | |
| 13 | 41 | |
| 14 | 15 | |
| 15 | 77 | |
| 16 | 11 | |
| 17 | 63 | |
| 18 | 53 | |
| 19 | 73 | |
| 20 | 15 |
About Rebecca A. Previs
Rebecca A. Previs is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Cancer Research, having authored 122 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (38 papers), Endometrial and Cervical Cancer Treatments (19 papers) and Cancer Genomics and Diagnostics (16 papers). The work is most often cited by research in Reproductive Medicine (330 citations), Obstetrics and Gynecology (256 citations) and Cancer Research (286 citations). Rebecca A. Previs has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Anil K. Sood, Robert L. Coleman, Adrian L. Harris, Angeles Alvarez Secord, Heather J. Dalton, Tomi Akinyemiju, Wei Hu, Jean M. Hansen, Gabriel Lopez‐Berestein and Cristian Rodriguez‐Aguayo. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer 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.