Robert J. Weeks
Impact in
- Epidemiology top 5%
- Fungal Infections and Studies
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- Renal and related cancers
- DNA Repair Mechanisms
- Fungal and yeast genetics research
Papers in
- Epidemiology 28
- Fungal Infections and Studies 28
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- Epigenetics and DNA Methylation 21
- CRISPR and Genetic Engineering 3
- Co-authors
- Aniruddha Chatterjee (12 shared papers)Ian M. Morison (17 shared papers)Jim Smith (7 shared papers)Fred E. Tosh (8 shared papers)Michael Roger Eccles (7 shared papers)Leo Kaufman (5 shared papers)Swapnoleena Sen (1 shared paper)Bruce S. Klein (1 shared paper)
- Journals
- Mycopathologia (6 papers)American Journal of Epidemiology (5 papers)Cancers (3 papers)Genes Chromosomes and Cancer (2 papers)Mycologia (2 papers)
- Partner nations
- New ZealandUnited StatesUnited Kingdom
In The Last Decade
Robert J. Weeks
64 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 94
- Epidemiology 769
- Molecular Biology 762
- Hematology 113
- Cancer Research 93
- Obstetrics and Gynecology 51
Countries citing papers authored by Robert J. Weeks
This map shows the geographic impact of Robert J. Weeks'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 J. Weeks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert J. Weeks more than expected).
Fields of papers citing papers by Robert J. Weeks
This network shows the impact of papers produced by Robert J. Weeks. 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 J. Weeks. The network helps show where Robert J. Weeks may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert J. Weeks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 311 | |
| 2 | 2020 | 192 | |
| 3 | 2008 | 152 | |
| 4 | 2002 | 113 | |
| 5 | 1998 | 104 | |
| 6 | 1974 | 80 | |
| 7 | 1972 | 76 | |
| 8 | 1974 | 67 | |
| 9 | 2015 | 62 | |
| 10 | 2012 | 59 | |
| 11 | 2019 | 59 | |
| 12 | 2009 | 56 | |
| 13 | 1983 | 45 | |
| 14 | 2018 | 44 | |
| 15 | 1983 | 43 | |
| 16 | 2018 | 42 | |
| 17 | 2009 | 41 | |
| 18 | 2011 | 39 | |
| 19 | 2021 | 36 | |
| 20 | 1969 | 32 |
About Robert J. Weeks
Robert J. Weeks is a scholar working on Epidemiology, Molecular Biology, Obstetrics and Gynecology, Urology and Genetics, having authored 64 papers that have together received 2.1k indexed citations. Recurring topics across this work include Fungal Infections and Studies (28 papers), Epigenetics and DNA Methylation (21 papers), Bladder and Urothelial Cancer Treatments (4 papers), Pregnancy and preeclampsia studies (3 papers), Genetic Syndromes and Imprinting (3 papers), CRISPR and Genetic Engineering (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and Urinary Bladder and Prostate Research (2 papers). The work is most often cited by research in Epidemiology (769 citations), Molecular Biology (762 citations), Hematology (113 citations), Cancer Research (93 citations) and Obstetrics and Gynecology (51 citations). Robert J. Weeks has collaborated with scholars based in New Zealand, United States and United Kingdom. Frequent co-authors include Aniruddha Chatterjee, Ian M. Morison, Jim Smith, Fred E. Tosh, Michael Roger Eccles, Leo Kaufman, Swapnoleena Sen, Bruce S. Klein, Basil Varkey and James M. Vergeront. Their work appears in journals such as Mycopathologia, American Journal of Epidemiology, Cancers, Genes Chromosomes and Cancer and Mycologia.
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.