Allison M. Weakley
Impact in
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
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- Clostridium difficile and Clostridium perfringens research
Papers in
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- Insect Resistance and Genetics 4
- CRISPR and Genetic Engineering 3
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- Mosquito-borne diseases and control 4
- Malaria Research and Control 4
- Co-authors
- Feiqiao Brian Yu (4 shared papers)Yoosook Lee (6 shared papers)Gregory C. Lanzaro (6 shared papers)Matthew J. Nalley (2 shared papers)Jordan E. Bisanz (2 shared papers)Renuka R. Nayak (2 shared papers)Peter Spanogiannopoulos (2 shared papers)Peter J. Turnbaugh (2 shared papers)
- Journals
- Journal of Visualized Experiments (2 papers)Nature Communications (1 paper)Cell Reports (1 paper)G3 Genes Genomes Genetics (1 paper)Microbiome (1 paper)
- Partner nations
- United StatesNetherlandsTanzania
In The Last Decade
Allison M. Weakley
12 papers receiving 362 citations
Allison M. Weakley's Hit Papers
Peers
Comparison fields: 5 of 65
- Nephrology 51
- Infectious Diseases 59
- Endocrinology 16
- Public Health, Environmental and Occupational Health 78
- Insect Science 32
Countries citing papers authored by Allison M. Weakley
This map shows the geographic impact of Allison M. Weakley'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 Allison M. Weakley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Allison M. Weakley more than expected).
Fields of papers citing papers by Allison M. Weakley
This network shows the impact of papers produced by Allison M. Weakley. 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 Allison M. Weakley. The network helps show where Allison M. Weakley may publish in the future.
Co-authors
The 25 scholars most cited alongside Allison M. Weakley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 109 | |
| 2 | A widely distributed gene cluster compensates for uricase loss in hominids Hit paper breakdown → | 2023 | 92 |
| 3 | 2016 | 64 | |
| 4 | 2023 | 37 | |
| 5 | 2013 | 23 | |
| 6 | 2023 | 16 | |
| 7 | 2015 | 13 | |
| 8 | 2022 | 4 | |
| 9 | 2020 | 3 | |
| 10 | 2025 | 3 | |
| 11 | 2015 | 2 | |
| 12 | 2021 | 1 |
About Allison M. Weakley
Allison M. Weakley is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Ecology and Immunology, having authored 12 papers that have together received 367 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (4 papers), Insect Resistance and Genetics (4 papers), Malaria Research and Control (4 papers), CRISPR and Genetic Engineering (3 papers), Bacterial Genetics and Biotechnology (2 papers), Bacteriophages and microbial interactions (2 papers), Invertebrate Immune Response Mechanisms (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Nephrology (51 citations), Infectious Diseases (59 citations), Endocrinology (16 citations), Public Health, Environmental and Occupational Health (78 citations) and Insect Science (32 citations). Allison M. Weakley has collaborated with scholars based in United States, Netherlands and Tanzania. Frequent co-authors include Feiqiao Brian Yu, Yoosook Lee, Gregory C. Lanzaro, Matthew J. Nalley, Jordan E. Bisanz, Renuka R. Nayak, Peter Spanogiannopoulos, Peter J. Turnbaugh, Kathy N. Lam and Margaret Alexander. Their work appears in journals such as Journal of Visualized Experiments, Nature Communications, Cell Reports, G3 Genes Genomes Genetics and Microbiome.
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.