Danielle B Freedman
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery
- Physiology
- Statistics, Probability and Uncertainty top 5%
- General Health Professions
- Co-authors
- Julian H. BarthParesh DandonaLes PerryPeter J. WoodB. SheridanMartin CrookP LumbCaroline J Doré
- Topics
- Clinical Laboratory Practices and Quality Control (10 papers)Healthcare Quality and Management (5 papers)Meta-analysis and systematic reviews (5 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismStatistics, Probability and UncertaintyFamily Practice
- Journals
- Journal of Biological ChemistryThe Journal of Clinical Endocrinology & MetabolismThe American Journal of Medicine
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Danielle B Freedman
37 papers receiving 833 citations
Peers
Comparison fields: 5 of 97
- Endocrinology, Diabetes and Metabolism 468
- Surgery 181
- Physiology 171
- Statistics, Probability and Uncertainty 81
- General Health Professions 80
Countries citing papers authored by Danielle B Freedman
This map shows the geographic impact of Danielle B Freedman'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 Danielle B Freedman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle B Freedman more than expected).
Fields of papers citing papers by Danielle B Freedman
This network shows the impact of papers produced by Danielle B Freedman. 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 Danielle B Freedman. The network helps show where Danielle B Freedman may publish in the future.
Co-authorship network of co-authors of Danielle B Freedman
This figure shows the co-authorship network connecting the top 25 collaborators of Danielle B Freedman. A scholar is included among the top collaborators of Danielle B Freedman 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 Danielle B Freedman. Danielle B Freedman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 18 | |
| 3 | 13 | |
| 4 | 42 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 28 | |
| 9 | 18 | |
| 10 | 171 | |
| 11 | 19 | |
| 12 | 30 | |
| 13 | Near-patient testing: the management issues. | 5 |
| 14 | 1 | |
| 15 | 50 | |
| 16 | 28 | |
| 17 | 6 | |
| 18 | 14 | |
| 19 | 9 | |
| 20 | 19 |
About Danielle B Freedman
Danielle B Freedman is a scholar working on Medical Laboratory Technology, Health Information Management and Statistics, Probability and Uncertainty, having authored 37 papers that have together received 900 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (10 papers), Healthcare Quality and Management (5 papers) and Meta-analysis and systematic reviews (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (468 citations), Statistics, Probability and Uncertainty (81 citations) and Family Practice (18 citations). Danielle B Freedman has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Julian H. Barth, Paresh Dandona, Les Perry, Peter J. Wood, B. Sheridan, Martin Crook, P Lumb, Caroline J Doré, Nick Finer and Wing May Kong. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and The American Journal of 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.