John R.K. Preedy

28 total papers · 832 total citations
24 papers, 654 citations indexed

About

John R.K. Preedy is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Health, Toxicology and Mutagenesis. According to data from OpenAlex, John R.K. Preedy has authored 24 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in John R.K. Preedy's work include Estrogen and related hormone effects (12 papers), Ovarian function and disorders (3 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). John R.K. Preedy is often cited by papers focused on Estrogen and related hormone effects (12 papers), Ovarian function and disorders (3 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). John R.K. Preedy collaborates with scholars based in United States and United Kingdom. John R.K. Preedy's co-authors include Delwood C. Collins, Victoria C. Musey, Paul I. Musey, David Martino-Saltzman, Donna Brogan, Vicki Santos, JOHN D. THOMPSON, Frederick H. Schmidt, Malcolm E. Turner and Gladys H. Reynolds and has published in prestigious journals such as New England Journal of Medicine, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

John R.K. Preedy

24 papers receiving 612 citations

Author Peers

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

Author Last Decade Papers Cites
John R.K. Preedy 189 146 130 119 99 24 654
L.A. Schellekens 103 0.5× 246 1.7× 99 0.8× 156 1.3× 134 1.4× 21 759
Marisa Orrù 102 0.5× 174 1.2× 34 0.3× 249 2.1× 236 2.4× 29 623
H T Chao 153 0.8× 180 1.2× 60 0.5× 235 2.0× 98 1.0× 26 651
Chung-Hsiu Wu 144 0.8× 189 1.3× 28 0.2× 175 1.5× 116 1.2× 21 553
Henning Djursing 54 0.3× 232 1.6× 77 0.6× 281 2.4× 69 0.7× 30 741
Brian C. Cooper 65 0.3× 143 1.0× 113 0.9× 232 1.9× 81 0.8× 21 777
Jeffery S. Babischkin 123 0.7× 100 0.7× 44 0.3× 132 1.1× 65 0.7× 33 604
Rachel Roberts 152 0.8× 180 1.2× 102 0.8× 259 2.2× 159 1.6× 32 632
Angélica Morales 84 0.4× 115 0.8× 89 0.7× 77 0.6× 79 0.8× 24 752
S. S. LYNCH 115 0.6× 277 1.9× 47 0.4× 305 2.6× 167 1.7× 43 760

Countries citing papers authored by John R.K. Preedy

Since Specialization
Citations

This map shows the geographic impact of John R.K. Preedy'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 John R.K. Preedy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John R.K. Preedy more than expected).

Fields of papers citing papers by John R.K. Preedy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R.K. Preedy. 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 John R.K. Preedy. The network helps show where John R.K. Preedy may publish in the future.

Co-authorship network of co-authors of John R.K. Preedy

This figure shows the co-authorship network connecting the top 25 collaborators of John R.K. Preedy. A scholar is included among the top collaborators of John R.K. Preedy 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 John R.K. Preedy. John R.K. Preedy 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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