Eileen G. Hoal
- Infectious Diseases top 0.5%
- Epidemiology top 1%
- Immunology top 2%
- Molecular Biology top 10%
- Genetics top 2%
- Co-authors
- Paul D. van HeldenMarlo MöllerMuneeb SalieHaiko SchurzCraig KinnearMichelle DayaEugene B. DowdleSidney Pestka
- Topics
- Tuberculosis Research and Epidemiology (64 papers)Mycobacterium research and diagnosis (39 papers)Immunodeficiency and Autoimmune Disorders (22 papers)
- Partner nations
- South AfricaUnited StatesUnited Kingdom
In The Last Decade
Eileen G. Hoal
123 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Infectious Diseases 2.4k
- Epidemiology 1.9k
- Immunology 1.5k
- Molecular Biology 1.1k
- Genetics 854
Countries citing papers authored by Eileen G. Hoal
This map shows the geographic impact of Eileen G. Hoal'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 Eileen G. Hoal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eileen G. Hoal more than expected).
Fields of papers citing papers by Eileen G. Hoal
This network shows the impact of papers produced by Eileen G. Hoal. 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 Eileen G. Hoal. The network helps show where Eileen G. Hoal may publish in the future.
Co-authorship network of co-authors of Eileen G. Hoal
This figure shows the co-authorship network connecting the top 25 collaborators of Eileen G. Hoal. A scholar is included among the top collaborators of Eileen G. Hoal 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 Eileen G. Hoal. Eileen G. Hoal 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 | 3 | |
| 3 | 0 | |
| 4 | A weakly structured stem for human origins in Africabreakdown → | 56 |
| 5 | 2 | |
| 6 | 18 | |
| 7 | 14 | |
| 8 | 34 | |
| 9 | 19 | |
| 10 | 69 | |
| 11 | 49 | |
| 12 | 20 | |
| 13 | 95 | |
| 14 | 141 | |
| 15 | 61 | |
| 16 | SLC11A1 (NRAMP1) but not SLC11A2 (NRAMP2) polymorphisms are associated with susceptibility to tuberculosis in a high-incidence community in South Africa. | 61 |
| 17 | 36 | |
| 18 | 16 | |
| 19 | 4 | |
| 20 | Cross-contamination of human esophageal squamous carcinoma cell lines detected by DNA fingerprint analysis. | 29 |
About Eileen G. Hoal
Eileen G. Hoal is a scholar working on Infectious Diseases, Immunology and Epidemiology, having authored 125 papers that have together received 5.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (64 papers), Mycobacterium research and diagnosis (39 papers) and Immunodeficiency and Autoimmune Disorders (22 papers). The work is most often cited by research in Infectious Diseases (2.4k citations), Immunology (1.5k citations) and Epidemiology (1.9k citations). Eileen G. Hoal has collaborated with scholars based in South Africa, United States and United Kingdom. Frequent co-authors include Paul D. van Helden, Marlo Möller, Muneeb Salie, Haiko Schurz, Craig Kinnear, Michelle Daya, Eugene B. Dowdle, Sidney Pestka, E.F. Rehberg and Bruce Kelder. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.