Janet R. Daling
- Oncology top 0.1%
- Epidemiology top 0.2%
- Surgery top 0.5%
- Cancer Research top 0.2%
- Genetics top 0.2%
- Co-authors
- Kathleen E. MaloneChristopher I. LiNoel S. WeissPeggy L. PorterStephen M. SchwartzMargaret M. MadeleineJames K. McDougallLynda F. Voigt
- Topics
- Cancer Risks and Factors (95 papers)Estrogen and related hormone effects (46 papers)Cervical Cancer and HPV Research (38 papers)
- Partner nations
- United StatesSouth AfricaNorway
In The Last Decade
Janet R. Daling
317 papers receiving 21.3k citations
Hit Papers
Peers
Comparison fields: 5 of 193
- Oncology 8.1k
- Epidemiology 5.0k
- Surgery 4.7k
- Cancer Research 4.1k
- Genetics 3.9k
Countries citing papers authored by Janet R. Daling
This map shows the geographic impact of Janet R. Daling'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 Janet R. Daling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet R. Daling more than expected).
Fields of papers citing papers by Janet R. Daling
This network shows the impact of papers produced by Janet R. Daling. 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 Janet R. Daling. The network helps show where Janet R. Daling may publish in the future.
Co-authorship network of co-authors of Janet R. Daling
This figure shows the co-authorship network connecting the top 25 collaborators of Janet R. Daling. A scholar is included among the top collaborators of Janet R. Daling 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 Janet R. Daling. Janet R. Daling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 53 | |
| 2 | 19 | |
| 3 | 196 | |
| 4 | Risk of second primary contralateral breast cancer by molecular phenotype of the first primary breast cancer | 1 |
| 5 | Antidepressant use and breast cancer risk | 1 |
| 6 | 173 | |
| 7 | 99 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 24 | |
| 11 | 31 | |
| 12 | 122 | |
| 13 | 120 | |
| 14 | 14 | |
| 15 | 20 | |
| 16 | 73 | |
| 17 | Respiratory cancer among orchardists in Washington State, 1968 to 1980. | 15 |
| 18 | 24 | |
| 19 | 40 | |
| 20 | 46 |
About Janet R. Daling
Janet R. Daling is a scholar working on Obstetrics and Gynecology, Oncology and Reproductive Medicine, having authored 318 papers that have together received 22.5k indexed citations. Recurring topics across this work include Cancer Risks and Factors (95 papers), Estrogen and related hormone effects (46 papers) and Cervical Cancer and HPV Research (38 papers). The work is most often cited by research in Oncology (8.1k citations), Cancer Research (4.1k citations) and Obstetrics and Gynecology (2.1k citations). Janet R. Daling has collaborated with scholars based in United States, South Africa and Norway. Frequent co-authors include Kathleen E. Malone, Christopher I. Li, Noel S. Weiss, Peggy L. Porter, Stephen M. Schwartz, Margaret M. Madeleine, Noel S. Weiss, James K. McDougall, Lynda F. Voigt and Lisa Johnson. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
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.