Kathleen P. Freeman
- Physiology top 2%
- Small Animals top 0.2%
- Equine top 0.2%
- Statistics, Probability and Uncertainty top 0.5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Kendal E. HarrKristen R. FriedrichsBalázs SzladovitsKirstin F. BarnhartRaquel M. WaltonBente FlatlandEmma H. HooijbergJennifer R. Cook
- Topics
- Clinical Laboratory Practices and Quality Control (52 papers)Meta-analysis and systematic reviews (23 papers)Statistical Methods in Clinical Trials (20 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Kathleen P. Freeman
118 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Physiology 781
- Small Animals 758
- Equine 462
- Statistics, Probability and Uncertainty 381
- Pulmonary and Respiratory Medicine 288
Countries citing papers authored by Kathleen P. Freeman
This map shows the geographic impact of Kathleen P. Freeman'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 Kathleen P. Freeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathleen P. Freeman more than expected).
Fields of papers citing papers by Kathleen P. Freeman
This network shows the impact of papers produced by Kathleen P. Freeman. 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 Kathleen P. Freeman. The network helps show where Kathleen P. Freeman may publish in the future.
Co-authorship network of co-authors of Kathleen P. Freeman
This figure shows the co-authorship network connecting the top 25 collaborators of Kathleen P. Freeman. A scholar is included among the top collaborators of Kathleen P. Freeman 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 Kathleen P. Freeman. Kathleen P. Freeman 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 77 | |
| 12 | Rassenspezifische Odds Ratio and anatomische Verteilung von Mastzelltumoren beim Hund | 7 |
| 13 | 181 | |
| 14 | 4 | |
| 15 | 30 | |
| 16 | 26 | |
| 17 | A rapid Papanicolaou stain for equine cytologic specimens. | 4 |
| 18 | Cytologic features of equine mammary fluids: normal and abnormal | 6 |
| 19 | Equine endometrial cytologic smear patterns | 6 |
| 20 | 18 |
About Kathleen P. Freeman
Kathleen P. Freeman is a scholar working on Equine, Statistics, Probability and Uncertainty and Statistics and Probability, having authored 124 papers that have together received 3.1k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (52 papers), Meta-analysis and systematic reviews (23 papers) and Statistical Methods in Clinical Trials (20 papers). The work is most often cited by research in Equine (462 citations), Small Animals (758 citations) and Statistics, Probability and Uncertainty (381 citations). Kathleen P. Freeman has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Kendal E. Harr, Kristen R. Friedrichs, Balázs Szladovits, Kirstin F. Barnhart, Raquel M. Walton, Bente Flatland, Emma H. Hooijberg, Jennifer R. Cook, Mary B. Nabity and Linda M. Vap. Their work appears in journals such as PLoS ONE, Gut and American Journal of Preventive 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.