M. J. Faddy

158 total papers · 7.5k total citations
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, A. Gougeon, James F. Nelson, R. G. Gosden, M. C. Jones, M. P. Cullinan, G. J. Seymour, Sally McClean, Frank J. Broekmans and Jacquetta M. Trasler 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

Accelerated disappearance... 1992 2026 2003 2014 1992 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M. J. Faddy 2.5k 2.0k 838 788 660 119 5.4k
Lorenzo Richiardi 1.0k 0.4× 852 0.4× 1.3k 1.5× 832 1.1× 230 0.3× 188 6.2k
Edwin L. Bradley 312 0.1× 272 0.1× 621 0.7× 366 0.5× 448 0.7× 206 6.9k
Mark Elwood 786 0.3× 285 0.1× 908 1.1× 663 0.8× 180 0.3× 261 9.5k
N. E. Day 1.4k 0.6× 311 0.2× 1.1k 1.3× 657 0.8× 107 0.2× 29 10.5k
J. Dik F. Habbema 1.6k 0.7× 1.6k 0.8× 525 0.6× 1.0k 1.3× 24 0.0× 116 10.2k
Wendy Cozen 774 0.3× 271 0.1× 1.9k 2.3× 325 0.4× 316 0.5× 208 10.7k
Stephen M. Downs 3.8k 1.5× 2.2k 1.1× 1.5k 1.8× 1.3k 1.6× 157 0.2× 155 6.7k
Hormuzd A. Katki 596 0.2× 191 0.1× 1.3k 1.6× 142 0.2× 246 0.4× 206 10.9k
Alexander Katalinic 1.1k 0.4× 882 0.4× 1.1k 1.3× 1.1k 1.3× 57 0.1× 379 8.9k
Thomas M. Mack 1.1k 0.5× 494 0.2× 1.5k 1.7× 418 0.5× 29 0.0× 187 10.3k

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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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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