Polly Feigl
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Molecular Biology
- Pathology and Forensic Medicine top 5%
- Statistics and Probability top 1%
- Co-authors
- Marvin ZelenF. L. MeyskensCarol M. MoinpourKatherine HaydenBarbara MetchJohn M. CrowleyJohannes IpsenIan M. Thompson
- Topics
- Global Cancer Incidence and Screening (9 papers)Cancer survivorship and care (5 papers)Economic and Financial Impacts of Cancer (4 papers)
- Partner nations
- United StatesSouth AfricaDenmark
In The Last Decade
Polly Feigl
40 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 166
- Oncology 837
- Pulmonary and Respiratory Medicine 493
- Molecular Biology 474
- Pathology and Forensic Medicine 327
- Statistics and Probability 266
Countries citing papers authored by Polly Feigl
This map shows the geographic impact of Polly Feigl'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 Polly Feigl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Polly Feigl more than expected).
Fields of papers citing papers by Polly Feigl
This network shows the impact of papers produced by Polly Feigl. 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 Polly Feigl. The network helps show where Polly Feigl may publish in the future.
Co-authorship network of co-authors of Polly Feigl
This figure shows the co-authorship network connecting the top 25 collaborators of Polly Feigl. A scholar is included among the top collaborators of Polly Feigl 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 Polly Feigl. Polly Feigl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 81 | |
| 2 | 44 | |
| 3 | 24 | |
| 4 | 108 | |
| 5 | Chemoprevention of cervical cancer with folic acid: a phase III Southwest Oncology Group Intergroup study. | 59 |
| 6 | 33 | |
| 7 | 30 | |
| 8 | Quality of life assessment in Southwest Oncology Group trials. | 44 |
| 9 | 83 | |
| 10 | 311 | |
| 11 | 31 | |
| 12 | 5 | |
| 13 | 13 | |
| 14 | 120 | |
| 15 | 1 | |
| 16 | Accuracy of basic cancer patient data: results from an extensive recoding survey. | 26 |
| 17 | 11 | |
| 18 | 29 | |
| 19 | 330 | |
| 20 | 1 |
About Polly Feigl
Polly Feigl is a scholar working on Statistics and Probability, Oncology and Health Information Management, having authored 40 papers that have together received 2.3k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (9 papers), Cancer survivorship and care (5 papers) and Economic and Financial Impacts of Cancer (4 papers). The work is most often cited by research in Statistics and Probability (266 citations), Oncology (837 citations) and Pathology and Forensic Medicine (327 citations). Polly Feigl has collaborated with scholars based in United States, South Africa and Denmark. Frequent co-authors include Marvin Zelen, F. L. Meyskens, Carol M. Moinpour, Katherine Hayden, Barbara Metch, John M. Crowley, Johannes Ipsen, Ian M. Thompson, Joseph Chu and Leslie G. Ford. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Cancer and American Journal of Epidemiology.
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.