Judith Anzures‐Cabrera
- Surgery
- Physiology
- Endocrinology, Diabetes and Metabolism
- Statistics, Probability and Uncertainty top 2%
- Public Health, Environmental and Occupational Health
- Co-authors
- Julian P. T. HigginsIan R. WhiteAmeet SarpatwariAnne WhiteheadWendy S. PutnamMichael DerksP. W. LaneMary C. Phelan
- Topics
- Meta-analysis and systematic reviews (5 papers)Drug Transport and Resistance Mechanisms (4 papers)Health Systems, Economic Evaluations, Quality of Life (4 papers)
- Cited by
- Statistics, Probability and UncertaintyStatistics and ProbabilityEndocrinology, Diabetes and Metabolism
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Judith Anzures‐Cabrera
20 papers receiving 903 citations
Peers
Comparison fields: 5 of 163
- Surgery 180
- Physiology 96
- Endocrinology, Diabetes and Metabolism 93
- Statistics, Probability and Uncertainty 90
- Public Health, Environmental and Occupational Health 80
Countries citing papers authored by Judith Anzures‐Cabrera
This map shows the geographic impact of Judith Anzures‐Cabrera'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 Judith Anzures‐Cabrera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Judith Anzures‐Cabrera more than expected).
Fields of papers citing papers by Judith Anzures‐Cabrera
This network shows the impact of papers produced by Judith Anzures‐Cabrera. 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 Judith Anzures‐Cabrera. The network helps show where Judith Anzures‐Cabrera may publish in the future.
Co-authorship network of co-authors of Judith Anzures‐Cabrera
This figure shows the co-authorship network connecting the top 25 collaborators of Judith Anzures‐Cabrera. A scholar is included among the top collaborators of Judith Anzures‐Cabrera 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 Judith Anzures‐Cabrera. Judith Anzures‐Cabrera 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 | 15 | |
| 4 | 22 | |
| 5 | 8 | |
| 6 | 46 | |
| 7 | 66 | |
| 8 | 10 | |
| 9 | 10 | |
| 10 | 10 | |
| 11 | 59 | |
| 12 | 14 | |
| 13 | 4 | |
| 14 | 17 | |
| 15 | 54 | |
| 16 | 1 | |
| 17 | 184 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 388 |
About Judith Anzures‐Cabrera
Judith Anzures‐Cabrera is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Physiology, having authored 21 papers that have together received 919 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (5 papers), Drug Transport and Resistance Mechanisms (4 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (90 citations), Statistics and Probability (61 citations) and Endocrinology, Diabetes and Metabolism (93 citations). Judith Anzures‐Cabrera has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Julian P. T. Higgins, Ian R. White, Ameet Sarpatwari, Anne Whitehead, Wendy S. Putnam, Michael Derks, P. W. Lane, Mary C. Phelan, John G. Matthews and Nigel Baker. Their work appears in journals such as Neurology, Cochrane Database of Systematic Reviews and European Heart Journal.
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.