Joan Fitzgerald
- Infectious Diseases top 5%
- Surgery top 10%
- Epidemiology
- Hematology top 10%
- Pediatrics, Perinatology and Child Health
- Co-authors
- Néstor L. MüllerAnn N. LeungKevin ElwoodOnofre Moran‐MendozaR. Kevin ElwoodSin Eng ChiaN L MüllerMaria Korzeniewska-Koseła
- Topics
- Blood groups and transfusion (8 papers)Tuberculosis Research and Epidemiology (7 papers)Erythrocyte Function and Pathophysiology (4 papers)
- Cited by
- Infectious DiseasesSurgeryHematology
- Partner nations
- United StatesIrelandCanada
In The Last Decade
Joan Fitzgerald
35 papers receiving 667 citations
Peers
Comparison fields: 5 of 108
- Infectious Diseases 346
- Surgery 287
- Epidemiology 200
- Hematology 70
- Pediatrics, Perinatology and Child Health 69
Countries citing papers authored by Joan Fitzgerald
This map shows the geographic impact of Joan Fitzgerald'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 Joan Fitzgerald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan Fitzgerald more than expected).
Fields of papers citing papers by Joan Fitzgerald
This network shows the impact of papers produced by Joan Fitzgerald. 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 Joan Fitzgerald. The network helps show where Joan Fitzgerald may publish in the future.
Co-authorship network of co-authors of Joan Fitzgerald
This figure shows the co-authorship network connecting the top 25 collaborators of Joan Fitzgerald. A scholar is included among the top collaborators of Joan Fitzgerald 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 Joan Fitzgerald. Joan Fitzgerald is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 19 | |
| 5 | 11 | |
| 6 | Tuberculin skin test size and risk of tuberculosis development: a large population-based study in contacts. | 37 |
| 7 | 10 | |
| 8 | 3 | |
| 9 | Tuberculosis among health care workers in British Columbia. | 16 |
| 10 | Risk of tuberculosis in dialysis patients: a population-based study. | 66 |
| 11 | 13 | |
| 12 | Radiologic features of pulmonary tuberculosis: an assessment of 188 cases. | 57 |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 154 | |
| 16 | 6 | |
| 17 | 10 | |
| 18 | 9 | |
| 19 | 10 | |
| 20 | 19 |
About Joan Fitzgerald
Joan Fitzgerald is a scholar working on Hematology, Genetics and Developmental Biology, having authored 36 papers that have together received 704 indexed citations. Recurring topics across this work include Blood groups and transfusion (8 papers), Tuberculosis Research and Epidemiology (7 papers) and Erythrocyte Function and Pathophysiology (4 papers). The work is most often cited by research in Infectious Diseases (346 citations), Surgery (287 citations) and Hematology (70 citations). Joan Fitzgerald has collaborated with scholars based in United States, Ireland and Canada. Frequent co-authors include Néstor L. Müller, Ann N. Leung, Kevin Elwood, Onofre Moran‐Mendoza, R. Kevin Elwood, Sin Eng Chia, N L Müller, Maria Korzeniewska-Koseła, J Krysl and John M. Opitz. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Radiology and Human Genetics.
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.