Perry G. Ridge

3.9k total citations
60 papers, 1.8k citations indexed

About

Perry G. Ridge is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Perry G. Ridge has authored 60 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 23 papers in Genetics and 12 papers in Physiology. Recurrent topics in Perry G. Ridge's work include Genomics and Phylogenetic Studies (18 papers), Alzheimer's disease research and treatments (12 papers) and Genetic Associations and Epidemiology (11 papers). Perry G. Ridge is often cited by papers focused on Genomics and Phylogenetic Studies (18 papers), Alzheimer's disease research and treatments (12 papers) and Genetic Associations and Epidemiology (11 papers). Perry G. Ridge collaborates with scholars based in United States, South Africa and Mexico. Perry G. Ridge's co-authors include John S. K. Kauwe, Vadim N. Gladyshev, Yan Zhang, John Kauwe, Mark Ebbert, Paul K. Crane, Justin Miller, Shubhabrata Mukherjee, Brandon D. Pickett and Alexei Lobanov and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Perry G. Ridge

60 papers receiving 1.8k citations

Peers

Perry G. Ridge

GENET

PHYSI

IMMUN

Ricardo D. Moreno Chile

Bruno Lefebvre France

Sun Hee Yim United States

Samir Bhattacharya India

José E. Cavaco Portugal

Christi A. Walter United States

David Pulford United Kingdom

Changjiang Huang China

Yves Malthièry France

Xianfeng Wang China

Ricardo D. Moreno Chile

Perry G. Ridge

1.8k ×2.2

546 ×1.3

GENET

598 ×1.6

PHYSI

115 ×0.5

173 ×0.9

IMMUN

Citations per year, relative to Perry G. Ridge Perry G. Ridge (= 1×) peers Ricardo D. Moreno

Countries citing papers authored by Perry G. Ridge

Since Specialization

Citations

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

Fields of papers citing papers by Perry G. Ridge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Perry G. Ridge. 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 Perry G. Ridge. The network helps show where Perry G. Ridge may publish in the future.

Co-authorship network of co-authors of Perry G. Ridge

This figure shows the co-authorship network connecting the top 25 collaborators of Perry G. Ridge. A scholar is included among the top collaborators of Perry G. Ridge 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 Perry G. Ridge. Perry G. Ridge 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

Miller, Justin, J. Anthony Brandon, Samuel Payne, et al.. (2025). Ramp Sequence May Explain Synonymous Variant Association with Alzheimer’s Disease in the Paired Immunoglobulin-like Type 2 Receptor Alpha (PILRA). Biomedicines. 13(3). 739–739. 2 indexed citations

Ridge, Perry G., et al.. (2023). Short Sequence Aligner Benchmarking for Chromatin Research. International Journal of Molecular Sciences. 24(18). 14074–14074. 1 indexed citations

Piccolo, Stephen, Paul Denny, Andrew Luxton-Reilly, Samuel Payne, & Perry G. Ridge. (2023). Evaluating a large language model’s ability to solve programming exercises from an introductory bioinformatics course. PLoS Computational Biology. 19(9). e1011511–e1011511. 26 indexed citations

Pickett, Brandon D., Sheena Talma, Daniel Ence, et al.. (2022). Genome assembly of the roundjaw bonefish (Albula glossodonta), a vulnerable circumtropical sportfish. SHILAP Revista de lepidopterología. 2022. 1–29. 1 indexed citations

Pickett, Brandon D., et al.. (2022). The genome of a giant (trevally): Caranx ignobilis. SHILAP Revista de lepidopterología. 2022. 1–16. 2 indexed citations

Brieba, Luis G., et al.. (2019). Arabidopsis thaliana organelles mimic the T7 phage DNA replisome with specific interactions between Twinkle protein and DNA polymerases Pol1A and Pol1B. BMC Plant Biology. 19(1). 241–241. 19 indexed citations

Miller, Justin, et al.. (2019). Codon use and aversion is largely phylogenetically conserved across the tree of life. Molecular Phylogenetics and Evolution. 144. 106697–106697. 11 indexed citations

Ebbert, Mark, R.H. Miller, Meganne Ferrel, et al.. (2018). Common DNA Variants Accurately Rank an Individual of Extreme Height. International Journal of Genomics. 2018. 1–7. 38 indexed citations

Jensen, Nicholas O., et al.. (2018). RAB10: an Alzheimer’s disease resilience locus and potential drug target. Clinical Interventions in Aging. Volume 14. 73–79. 44 indexed citations

10.

Ridge, Perry G. & John S. K. Kauwe. (2018). Mitochondria and Alzheimer’s Disease: the Role of Mitochondrial Genetic Variation. PubMed. 6(1). 1–10. 45 indexed citations

11.

Bodily, Paul, Mao Fujimoto, Justin T. Page, et al.. (2016). A novel approach for multi-SNP GWAS and its application in Alzheimer’s disease. BMC Bioinformatics. 17(S7). 268–268. 12 indexed citations

12.

Ebbert, Mark, Kevin L. Boehme, Mark E. Wadsworth, et al.. (2015). Interaction between variants in CLU and MS4A4E modulates Alzheimer's disease risk. Alzheimer s & Dementia. 12(2). 121–129. 17 indexed citations

13.

Peterson, Michael R., Mark Ebbert, Perry G. Ridge, et al.. (2014). Population-based analysis of cholesteryl ester transfer protein identifies association between I405V and cognitive decline: the Cache County Study. Neurobiology of Aging. 36(1). 547.e1–547.e3. 9 indexed citations

14.

Ridge, Perry G., Taylor J. Maxwell, Matthew H. Bailey, et al.. (2013). Mitochondrial Haplotypes Associated with Biomarkers for Alzheimer’s Disease. PLoS ONE. 8(9). e74158–e74158. 24 indexed citations

15.

Ridge, Perry G., Christine Miller, Pınar Bayrak‐Toydemir, et al.. (2013). Cystic fibrosis testing in a referral laboratory: results and lessons from a six-year period. PubMed. 3(1). 3–3. 2 indexed citations

16.

Crockett, David K., Perry G. Ridge, Andrew Wilson, et al.. (2012). Consensus: a framework for evaluation of uncertain gene variants in laboratory test reporting. Genome Medicine. 4(5). 48–48. 4 indexed citations

17.

Wooderchak‐Donahue, Whitney, Brendan O’Fallon, Larissa V. Furtado, et al.. (2012). A direct comparison of next generation sequencing enrichment methods using an aortopathy gene panel- clinical diagnostics perspective. BMC Medical Genomics. 5(1). 50–50. 25 indexed citations

18.

Ridge, Perry G., Taylor J. Maxwell, Christopher Corcoran, et al.. (2012). Mitochondrial Genomic Analysis of Late Onset Alzheimer’s Disease Reveals Protective Haplogroups H6A1A/H6A1B: The Cache County Study on Memory in Aging. PLoS ONE. 7(9). e45134–e45134. 44 indexed citations

19.

Crockett, David K., Stephen Piccolo, Perry G. Ridge, et al.. (2011). Predicting Phenotypic Severity of Uncertain Gene Variants in the RET Proto-Oncogene. PLoS ONE. 6(3). e18380–e18380. 27 indexed citations

20.

Ridge, Perry G., Yan Zhang, & Vadim N. Gladyshev. (2008). Comparative Genomic Analyses of Copper Transporters and Cuproproteomes Reveal Evolutionary Dynamics of Copper Utilization and Its Link to Oxygen. PLoS ONE. 3(1). e1378–e1378. 150 indexed citations

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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