Suzanne C Freeman
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Physiology top 10%
- Epidemiology top 10%
- Genetics top 10%
- Co-authors
- Alex J. SuttonJohn C. PickupNicola J. CooperAmit PatelJames R. CarpenterTerry QuinnDavid J. FisherJamie Hartmann‐Boyce
- Topics
- Meta-analysis and systematic reviews (13 papers)Liver Disease and Transplantation (10 papers)Liver Disease Diagnosis and Treatment (10 papers)
- Partner nations
- United KingdomUnited StatesRussia
In The Last Decade
Suzanne C Freeman
54 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Surgery 489
- Endocrinology, Diabetes and Metabolism 458
- Physiology 346
- Epidemiology 324
- Genetics 288
Countries citing papers authored by Suzanne C Freeman
This map shows the geographic impact of Suzanne C 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 Suzanne C Freeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne C Freeman more than expected).
Fields of papers citing papers by Suzanne C Freeman
This network shows the impact of papers produced by Suzanne C 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 Suzanne C Freeman. The network helps show where Suzanne C Freeman may publish in the future.
Co-authorship network of co-authors of Suzanne C Freeman
This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne C Freeman. A scholar is included among the top collaborators of Suzanne C 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 Suzanne C Freeman. Suzanne C 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 | 8 | |
| 6 | 4 | |
| 7 | Behavioural interventions for smoking cessation: an overview and network meta-analysisbreakdown → | 161 |
| 8 | 39 | |
| 9 | 24 | |
| 10 | 4 | |
| 11 | 17 | |
| 12 | 74 | |
| 13 | 7 | |
| 14 | 15 | |
| 15 | 28 | |
| 16 | 2 | |
| 17 | 49 | |
| 18 | 29 | |
| 19 | 125 | |
| 20 | 1 |
About Suzanne C Freeman
Suzanne C Freeman is a scholar working on Statistics, Probability and Uncertainty, Hepatology and Statistics and Probability, having authored 60 papers that have together received 2.0k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (13 papers), Liver Disease and Transplantation (10 papers) and Liver Disease Diagnosis and Treatment (10 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (147 citations), Endocrinology, Diabetes and Metabolism (458 citations) and Hepatology (213 citations). Suzanne C Freeman has collaborated with scholars based in United Kingdom, United States and Russia. Frequent co-authors include Alex J. Sutton, John C. Pickup, Nicola J. Cooper, Amit Patel, James R. Carpenter, Terry Quinn, David J. Fisher, Jamie Hartmann‐Boyce, José M Ordóñez-Mena and Paul Aveyard. Their work appears in journals such as The Lancet Oncology, Cochrane Database of Systematic Reviews and BMJ.
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.