Paul Novotny
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 10%
- Oncology
- Pathology and Forensic Medicine top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Charles L. LoprinziJeff A. SloanSusan K. QuellaDebra L. BartonPhilip J. StellaJames R. EgnerM H VeederNancy L. Vaught
- Topics
- Cancer Treatment and Pharmacology (5 papers)Estrogen and related hormone effects (5 papers)Menopause: Health Impacts and Treatments (4 papers)
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Paul Novotny
16 papers receiving 534 citations
Peers
Comparison fields: 5 of 69
- Endocrinology, Diabetes and Metabolism 305
- Genetics 271
- Oncology 166
- Pathology and Forensic Medicine 163
- Pulmonary and Respiratory Medicine 77
Countries citing papers authored by Paul Novotny
This map shows the geographic impact of Paul Novotny'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 Paul Novotny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Novotny more than expected).
Fields of papers citing papers by Paul Novotny
This network shows the impact of papers produced by Paul Novotny. 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 Paul Novotny. The network helps show where Paul Novotny may publish in the future.
Co-authorship network of co-authors of Paul Novotny
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Novotny. A scholar is included among the top collaborators of Paul Novotny 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 Paul Novotny. Paul Novotny is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | Disease-free ovarian cancer patients report severe pain and fatigue over time: prospective quality of life assessment in a consecutive series. | 6 |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 24 | |
| 8 | 5 | |
| 9 | 7 | |
| 10 | Pilot evaluation of citalopram for the relief of hot flashes. | 66 |
| 11 | 49 | |
| 12 | 4 | |
| 13 | 49 | |
| 14 | 288 | |
| 15 | 24 | |
| 16 | Toxicity evaluation of difluoromethylornithine: doses for chemoprevention trials. | 28 |
| 17 | 6 |
About Paul Novotny
Paul Novotny is a scholar working on Oncology, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 17 papers that have together received 572 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (5 papers), Estrogen and related hormone effects (5 papers) and Menopause: Health Impacts and Treatments (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (305 citations), Genetics (271 citations) and Pathology and Forensic Medicine (163 citations). Paul Novotny has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Charles L. Loprinzi, Jeff A. Sloan, Susan K. Quella, Debra L. Barton, Philip J. Stella, James R. Egner, M H Veeder, Nancy L. Vaught, Katherine M. Zahasky and Laura Martin. Their work appears in journals such as Journal of Clinical Oncology, Cancers and Nicotine & Tobacco 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.