Beatrix Jones
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
-
- Fungal and yeast genetics research 2
- Genomics and Chromatin Dynamics 2
- Bioinformatics and Genomic Networks 2
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- Bayesian Modeling and Causal Inference 4
- Co-authors
- Mike West (4 shared papers)Adrian Dobra (3 shared papers)Chris Hans (2 shared papers)Joseph R. Nevins (2 shared papers)Guang Yao (1 shared paper)Justin M. O’Sullivan (2 shared papers)Frederic Bertels (1 shared paper)Chris Carter (1 shared paper)
- Journals
- Yeast (1 paper)Computational Statistics & Data Analysis (1 paper)Journal of Multivariate Analysis (1 paper)Pregnancy Hypertension (1 paper)Fungal Genetics and Biology (1 paper)
- Partner nations
- New ZealandUnited KingdomUnited States
In The Last Decade
Beatrix Jones
16 papers receiving 956 citations
Peers
Comparison fields: 5 of 116
- Statistics and Probability 175
- Genetics 126
- Molecular Biology 511
- Artificial Intelligence 207
- Cancer Research 95
Countries citing papers authored by Beatrix Jones
This map shows the geographic impact of Beatrix Jones'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 Beatrix Jones with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beatrix Jones more than expected).
Fields of papers citing papers by Beatrix Jones
This network shows the impact of papers produced by Beatrix Jones. 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 Beatrix Jones. The network helps show where Beatrix Jones may publish in the future.
Co-authors
The 25 scholars most cited alongside Beatrix Jones, 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 | 2004 | 279 | |
| 2 | 2005 | 257 | |
| 3 | 2005 | 145 | |
| 4 | 2009 | 99 | |
| 5 | 1977 | 68 | |
| 6 | 2005 | 39 | |
| 7 | 2009 | 30 | |
| 8 | 2017 | 20 | |
| 9 | 2013 | 13 | |
| 10 | 2013 | 11 | |
| 11 | 2015 | 11 | |
| 12 | 2017 | 7 | |
| 13 | Some aspects of hyperlipidaemia in the dog and cat. | 1990 | 6 |
| 14 | 2016 | 6 | |
| 15 | Hypokalemia in the cat. | 1990 | 5 |
| 16 | 2012 | 1 |
About Beatrix Jones
Beatrix Jones is a scholar working on Molecular Biology, Artificial Intelligence, Statistics and Probability, Cardiology and Cardiovascular Medicine and Pediatrics, Perinatology and Child Health, having authored 16 papers that have together received 997 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (4 papers), Advanced Statistical Methods and Models (3 papers), Fungal and yeast genetics research (2 papers), Genomics and Chromatin Dynamics (2 papers), Birth, Development, and Health (2 papers), Pregnancy and preeclampsia studies (2 papers), Statistical Methods and Inference (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Statistics and Probability (175 citations), Genetics (126 citations), Molecular Biology (511 citations), Artificial Intelligence (207 citations) and Cancer Research (95 citations). Beatrix Jones has collaborated with scholars based in New Zealand, United Kingdom and United States. Frequent co-authors include Mike West, Adrian Dobra, Chris Hans, Joseph R. Nevins, Guang Yao, Justin M. O’Sullivan, Frederic Bertels, Chris Carter, Carlos M. Carvalho and Holly K. Dressman. Their work appears in journals such as Yeast, Computational Statistics & Data Analysis, Journal of Multivariate Analysis, Pregnancy Hypertension and Fungal Genetics and Biology.
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.