Robert W. Haile
- Molecular Biology top 10%
- Genetics top 5%
- Pathology and Forensic Medicine top 5%
- Oncology top 10%
- Cancer Research top 10%
- Co-authors
- Sue A. InglesKimberly D. SiegmundA. Joan LevineDuncan C. ThomasGerhard A. CoetzeeHenry J. LinRomán CorralMariana C. Stern
- Topics
- BRCA gene mutations in cancer (8 papers)Epigenetics and DNA Methylation (7 papers)DNA Repair Mechanisms (5 papers)
- Partner nations
- United StatesDenmarkCanada
In The Last Decade
Robert W. Haile
32 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 895
- Genetics 425
- Pathology and Forensic Medicine 414
- Oncology 270
- Cancer Research 262
Countries citing papers authored by Robert W. Haile
This map shows the geographic impact of Robert W. Haile'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 Robert W. Haile with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert W. Haile more than expected).
Fields of papers citing papers by Robert W. Haile
This network shows the impact of papers produced by Robert W. Haile. 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 Robert W. Haile. The network helps show where Robert W. Haile may publish in the future.
Co-authorship network of co-authors of Robert W. Haile
This figure shows the co-authorship network connecting the top 25 collaborators of Robert W. Haile. A scholar is included among the top collaborators of Robert W. Haile 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 Robert W. Haile. Robert W. Haile is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 28 | |
| 3 | 34 | |
| 4 | 14 | |
| 5 | 199 | |
| 6 | 47 | |
| 7 | 13 | |
| 8 | 38 | |
| 9 | 88 | |
| 10 | 36 | |
| 11 | 53 | |
| 12 | 31 | |
| 13 | 42 | |
| 14 | 18 | |
| 15 | The MnSOD A16V mitochondrial targeting sequence polymorphism is not associated with increased risk of distal colorectal adenomas: data from a sigmoidoscopy-based case control study. | 15 |
| 16 | 69 | |
| 17 | 86 | |
| 18 | Glutathione transferase null genotype, broccoli, and lower prevalence of colorectal adenomas. | 178 |
| 19 | 70 | |
| 20 | 10 |
About Robert W. Haile
Robert W. Haile is a scholar working on Cancer Research, Genetics and Pathology and Forensic Medicine, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (8 papers), Epigenetics and DNA Methylation (7 papers) and DNA Repair Mechanisms (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (414 citations), Cancer Research (262 citations) and Genetics (425 citations). Robert W. Haile has collaborated with scholars based in United States, Denmark and Canada. Frequent co-authors include Sue A. Ingles, Kimberly D. Siegmund, A. Joan Levine, Duncan C. Thomas, Gerhard A. Coetzee, Henry J. Lin, Román Corral, Mariana C. Stern, Peter W. Laird and Thomas M. Mack. Their work appears in journals such as PLoS ONE, JNCI Journal of the National Cancer Institute and Cancer Research.
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.