M. J. Faddy
- Public Health, Environmental and Occupational Health top 0.5%
- Reproductive Medicine top 0.2%
- Molecular Biology top 10%
- Pediatrics, Perinatology and Child Health top 1%
- Periodontics top 0.5%
- Co-authors
- Roger G. GosdenJames F. NelsonA. GougeonR. G. GosdenM. C. JonesG. J. SeymourM. P. CullinanSally McClean
- Topics
- Reproductive Biology and Fertility (24 papers)Statistical Methods and Bayesian Inference (18 papers)Ovarian function and disorders (16 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
M. J. Faddy
116 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Public Health, Environmental and Occupational Health 2.5k
- Reproductive Medicine 2.0k
- Molecular Biology 838
- Pediatrics, Perinatology and Child Health 791
- Periodontics 661
Countries citing papers authored by M. J. Faddy
This map shows the geographic impact of M. J. Faddy'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 M. J. Faddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. J. Faddy more than expected).
Fields of papers citing papers by M. J. Faddy
This network shows the impact of papers produced by M. J. Faddy. 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 M. J. Faddy. The network helps show where M. J. Faddy may publish in the future.
Co-authorship network of co-authors of M. J. Faddy
This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Faddy. A scholar is included among the top collaborators of M. J. Faddy 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 M. J. Faddy. M. J. Faddy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 56 | |
| 3 | 6 | |
| 4 | 19 | |
| 5 | 201 | |
| 6 | Relationship of serum antimüllerian hormone concentration to age of menopause | 12 |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 42 | |
| 10 | 40 | |
| 11 | 74 | |
| 12 | 20 | |
| 13 | IL-1 genotype and progression of periodontal disease in an Australian population | 13 |
| 14 | 232 | |
| 15 | Accuracy of at-sea commercial size grading of tiger prawns (Penaeus esculentus and P-semisulcatus) in the Australian northern prawn fishery | 3 |
| 16 | 4 | |
| 17 | 3 | |
| 18 | 11 | |
| 19 | Developments in in vivo analysis of cadmium in the liver and kidney | 2 |
| 20 | 67 |
About M. J. Faddy
M. J. Faddy is a scholar working on Statistics and Probability, Periodontics and Modeling and Simulation, having authored 119 papers that have together received 5.4k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (24 papers), Statistical Methods and Bayesian Inference (18 papers) and Ovarian function and disorders (16 papers). The work is most often cited by research in Reproductive Medicine (2.0k citations), Periodontics (661 citations) and Public Health, Environmental and Occupational Health (2.5k citations). M. J. Faddy has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Roger G. Gosden, James F. Nelson, A. Gougeon, R. G. Gosden, M. C. Jones, G. J. Seymour, M. P. Cullinan, Sally McClean, Frank J. Broekmans and Diana Lucifero. Their work appears in journals such as The Lancet, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.