M. J. Faddy

7.5k total citations · 1 hit paper
119 papers, 5.4k citations indexed

About

M. J. Faddy is a scholar working on Public Health, Environmental and Occupational Health, Statistics and Probability and Reproductive Medicine. According to data from OpenAlex, M. J. Faddy has authored 119 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Public Health, Environmental and Occupational Health, 27 papers in Statistics and Probability and 19 papers in Reproductive Medicine. Recurrent topics in M. J. Faddy's work include Reproductive Biology and Fertility (24 papers), Statistical Methods and Bayesian Inference (18 papers) and Ovarian function and disorders (16 papers). M. J. Faddy is often cited by papers focused on Reproductive Biology and Fertility (24 papers), Statistical Methods and Bayesian Inference (18 papers) and Ovarian function and disorders (16 papers). M. J. Faddy collaborates with scholars based in Australia, United Kingdom and United States. M. J. Faddy's 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 and has published in prestigious journals such as The Lancet, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

M. J. Faddy

116 papers receiving 5.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Accelerated disappearance of ovarian follicles in mid-life: implications for forecasting menopause

1992 975 citations M. J. Faddy, Roger G. Gosden et al. Human Reproduction profile →

Peers

Countries citing papers authored by M. J. Faddy

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

#	Work	Indexed citations
1	Modelling Task Durations Towards Automated, Big Data, Process Mining 2025 ·Applied Stochastic Models in Business and Industry ·M. J. Faddy, (unknown), Sally McClean, Mark Donnelly, (unknown), Kevin Burke	1
2	The Relationship Between Variation in Size of the Primordial Follicle Pool and Age at Natural Menopause 2015 ·The Journal of Clinical Endocrinology & Metabolism ·Martine Depmann, M. J. Faddy, Yvonne T. van der Schouw, P. H. M. Peeters, Simone L. Broer, Tom Kelsey, Scott M. Nelson, Frank J. Broekmans	56
3	The ovarian response to controlled stimulation in IVF cycles may be predictive of the age at menopause 2014 ·Human Reproduction ·Antonio La Marca, Giulia Dondi, Giovanna Sighinolfi, Simone Giulini, Enrico Papaleo, Angelo Cagnacci, M. J. Faddy	6
4	Analysis of count data with covariate dependence in both mean and variance 2011 ·Journal of Applied Statistics ·M. J. Faddy, David M. Smith	19
5	Relationship of Serum Antimullerian Hormone Concentration to Age at Menopause 2008 ·The Journal of Clinical Endocrinology & Metabolism ·J. van Disseldorp, M. J. Faddy, Axel P. N. Themmen, Frank H. de Jong, Petra H.M. Peeters, Yvonne T. van der Schouw, Frank J. Broekmans	201
6	Relationship of serum antimüllerian hormone concentration to age of menopause 2008 ·The Journal of Clinical Endocrinology & Metabolism ·Frank J. Broekmans, Frank H. de Jong, J. van Disseldorp, M. J. Faddy, P H M Peeters, Yvonne T. van der Schouw, Axel P. N. Themmen	12
7	Impact of gonadotrophin stimulation for assisted reproductive technology on ovarian ageing and menopause 2008 ·Reproductive BioMedicine Online ·Kay Elder, T J Mathews, (unknown), (unknown), (unknown), M. J. Faddy, Roger G. Gosden	10
8	Egg Distributions of Insect Parasitoids: Modelling and Analysis of Temporal Data with Host Density Dependence 2008 ·Acta Biotheoretica ·J. S. Fenlon, M. J. Faddy, (unknown), (unknown)	1
9	Progression of periodontal disease and interleukin‐10 gene polymorphism 2007 ·Journal of Periodontal Research ·M. P. Cullinan, B. Westerman, Stephen Hamlet, J. E. Palmer, M. J. Faddy, G. J. Seymour, Peter G. Middleton, John J. Taylor	42
10	Prevalence of premature ovarian failure in monozygotic and dizygotic twins 2006 ·Human Reproduction ·Roger G. Gosden, (unknown), Nicholas G. Martin, Lynn Cherkas, Tim D. Spector, M. J. Faddy, S. Silber	40
11	Eggs forever? 2005 ·Differentiation ·Anne Grete Byskov, M. J. Faddy, Josephine G. Lemmen, Claus Yding Andersen	74
12	Likelihood‐Based Modeling and Analysis of Data Underdispersed Relative to the Poisson Distribution 2001 ·Biometrics ·M. J. Faddy, Ronald J. Bosch	20
13	IL-1 genotype and progression of periodontal disease in an Australian population 2000 ·Journal of Dental Research ·M. P. Cullinan, B. Westerman, (unknown), M. J. Faddy, G. J. Seymour	13
14	Follicle dynamics during ovarian ageing 2000 ·Molecular and Cellular Endocrinology ·M. J. Faddy	232
15	Accuracy of at-sea commercial size grading of tiger prawns (Penaeus esculentus and P-semisulcatus) in the Australian northern prawn fishery 1999 ·Queensland Department of Agriculture and Fisheries archive of scientific and research publications (Queensland Department of Agriculture and Fisheries) ·Michael F. O‘Neill, David J. Die, (unknown), M. J. Faddy	3
16	Regression Pattern of Beta Human Chorionic Gonadotrophs in Blood after Chemotherapy for Gestational Trophoblastic Neoplasia 1996 ·Australian and New Zealand Journal of Obstetrics and Gynaecology ·(unknown), M. J. Faddy, S. K. Khoo	4
17	On variation in birth processes 1990 ·Advances in Applied Probability ·M. J. Faddy	3
18	Nonlinear Stochastic Compartmental Models 1985 ·Mathematical Medicine and Biology A Journal of the IMA ·M. J. Faddy	11
19	Developments in in vivo analysis of cadmium in the liver and kidney 1983 ·Transactions of the American Nuclear Society ·(unknown), David R. Chettle, (unknown), M. J. Faddy, (unknown)	2
20	Ovarian follicle dynamics in mice: a comparative study of three inbred strains and an F1 hybrid 1983 ·Journal of Endocrinology ·M. J. Faddy, Roger G. Gosden, R. G. Edwards	67

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.

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