Ellen C. Caniglia
- Infectious Diseases top 10%
- Epidemiology
- Statistics and Probability top 5%
- Public Health, Environmental and Occupational Health
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Eleanor J. MurrayMiguel A. HernánRoger LoganMette KalagerXabier García‐AlbénizLouise EmilssonLucia C. PetitoGloria Mayondi
- Topics
- HIV/AIDS Research and Interventions (11 papers)Advanced Causal Inference Techniques (8 papers)Substance Abuse Treatment and Outcomes (6 papers)
- Partner nations
- United StatesBotswanaUnited Kingdom
In The Last Decade
Ellen C. Caniglia
39 papers receiving 755 citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Infectious Diseases 218
- Epidemiology 128
- Statistics and Probability 121
- Public Health, Environmental and Occupational Health 107
- Pediatrics, Perinatology and Child Health 102
Countries citing papers authored by Ellen C. Caniglia
This map shows the geographic impact of Ellen C. Caniglia'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 Ellen C. Caniglia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ellen C. Caniglia more than expected).
Fields of papers citing papers by Ellen C. Caniglia
This network shows the impact of papers produced by Ellen C. Caniglia. 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 Ellen C. Caniglia. The network helps show where Ellen C. Caniglia may publish in the future.
Co-authorship network of co-authors of Ellen C. Caniglia
This figure shows the co-authorship network connecting the top 25 collaborators of Ellen C. Caniglia. A scholar is included among the top collaborators of Ellen C. Caniglia 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 Ellen C. Caniglia. Ellen C. Caniglia 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 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 8 | |
| 9 | 22 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | 17 | |
| 16 | 2 | |
| 17 | 16 | |
| 18 | 10 | |
| 19 | 9 | |
| 20 | 39 |
About Ellen C. Caniglia
Ellen C. Caniglia is a scholar working on Obstetrics and Gynecology, Statistics and Probability and Infectious Diseases, having authored 46 papers that have together received 764 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (11 papers), Advanced Causal Inference Techniques (8 papers) and Substance Abuse Treatment and Outcomes (6 papers). The work is most often cited by research in Statistics and Probability (121 citations), Obstetrics and Gynecology (95 citations) and Infectious Diseases (218 citations). Ellen C. Caniglia has collaborated with scholars based in United States, Botswana and United Kingdom. Frequent co-authors include Eleanor J. Murray, Miguel A. Hernán, Roger Logan, Mette Kalager, Xabier García‐Albéniz, Louise Emilsson, Lucia C. Petito, Gloria Mayondi, Roger Shapiro and Shahin Lockman. Their work appears in journals such as Annals of Internal Medicine, PLoS ONE and Neurology.
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.