Charles R. Farber

13.0k total citations
93 papers, 2.9k citations indexed

About

Charles R. Farber is a scholar working on Molecular Biology, Genetics and Orthopedics and Sports Medicine. According to data from OpenAlex, Charles R. Farber has authored 93 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 50 papers in Genetics and 10 papers in Orthopedics and Sports Medicine. Recurrent topics in Charles R. Farber's work include Genetic Mapping and Diversity in Plants and Animals (22 papers), Genetic Associations and Epidemiology (18 papers) and Bone Metabolism and Diseases (17 papers). Charles R. Farber is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (22 papers), Genetic Associations and Epidemiology (18 papers) and Bone Metabolism and Diseases (17 papers). Charles R. Farber collaborates with scholars based in United States, China and Canada. Charles R. Farber's co-authors include Juan F. Medrano, Aldons J. Lusis, Brian H. Annex, Clifford J. Rosen, Vijay C. Ganta, Thomas L. Clemens, Phuong Le, Emily Farber, Anyonya R. Guntur and Gina M. Calabrese and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Charles R. Farber

89 papers receiving 2.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Charles R. Farber United States 32 1.7k 914 377 319 306 93 2.9k
Guck T. Ooi United States 29 1.7k 1.1× 615 0.7× 349 0.9× 385 1.2× 140 0.5× 51 3.7k
Atsushi Watanabe Japan 29 1.1k 0.7× 438 0.5× 294 0.8× 204 0.6× 186 0.6× 137 3.0k
Charles Vinson United States 17 2.3k 1.4× 490 0.5× 282 0.7× 652 2.0× 309 1.0× 25 3.9k
Subhash C. Juneja United States 22 2.3k 1.4× 491 0.5× 224 0.6× 421 1.3× 131 0.4× 49 3.4k
Cheryl L. Ackert‐Bicknell United States 30 2.0k 1.2× 866 0.9× 309 0.8× 660 2.1× 149 0.5× 74 4.1k
Shin Yong Moon South Korea 32 2.1k 1.3× 376 0.4× 628 1.7× 172 0.5× 341 1.1× 171 3.9k
Meghan E. McGee‐Lawrence United States 37 1.9k 1.1× 382 0.4× 372 1.0× 779 2.4× 162 0.5× 113 3.7k
Xiaoyun Xing United States 25 1.3k 0.8× 235 0.3× 261 0.7× 106 0.3× 197 0.6× 47 2.0k
Julian C. Lui United States 29 1.2k 0.8× 830 0.9× 278 0.7× 201 0.6× 108 0.4× 59 2.1k
Carmen Clapp Mexico 38 1.5k 0.9× 412 0.5× 414 1.1× 293 0.9× 311 1.0× 159 4.6k

Countries citing papers authored by Charles R. Farber

Since Specialization
Citations

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

Fields of papers citing papers by Charles R. Farber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles R. Farber. 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 Charles R. Farber. The network helps show where Charles R. Farber may publish in the future.

Co-authorship network of co-authors of Charles R. Farber

This figure shows the co-authorship network connecting the top 25 collaborators of Charles R. Farber. A scholar is included among the top collaborators of Charles R. Farber 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 Charles R. Farber. Charles R. Farber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Allayee, Hooman, Charles R. Farber, Marcus Seldin, et al.. (2023). Systems genetics approaches for understanding complex traits with relevance for human disease. eLife. 12. 11 indexed citations
2.
Calabrese, Gina M., Larry D. Mesner, Emily Farber, et al.. (2023). Single‐Cell Transcriptomics of Bone Marrow Stromal Cells in Diversity Outbred Mice: A Model for Population‐Level scRNA‐Seq Studies. Journal of Bone and Mineral Research. 38(9). 1350–1363. 3 indexed citations
3.
Friedman, Michael, et al.. (2023). Genetic variation influences the skeletal response to hindlimb unloading in the eight founder strains of the diversity outbred mouse population. Journal of Orthopaedic Research®. 42(1). 134–140. 4 indexed citations
4.
5.
Gonzalez, Tania L, Bora Lee, Jinrui Cui, et al.. (2022). Infertility and treatments used have minimal effects on first-trimester placental DNA methylation and gene expression. Fertility and Sterility. 119(2). 301–312. 5 indexed citations
6.
Zhang, Qian, Larry D. Mesner, Gina M. Calabrese, et al.. (2021). Genomic variants within chromosome 14q32.32 regulate bone mass through MARK3 signaling in osteoblasts. Journal of Clinical Investigation. 131(7). 5 indexed citations
7.
Mesner, Larry D., Gina M. Calabrese, Daniel J. Brooks, et al.. (2021). Systems genetics in diversity outbred mice inform BMD GWAS and identify determinants of bone strength. Nature Communications. 12(1). 3408–3408. 32 indexed citations
8.
Cui, Di, Joshua C. Drake, Rebecca J. Wilson, et al.. (2020). A novel voluntary weightlifting model in mice promotes muscle adaptation and insulin sensitivity with simultaneous enhancement of autophagy and mTOR pathway. The FASEB Journal. 34(6). 7330–7344. 47 indexed citations
9.
Laker, Rhianna C., Ali Altıntaş, Travis S. Lillard, et al.. (2020). Exercise during pregnancy mitigates negative effects of parental obesity on metabolic function in adult mouse offspring. Journal of Applied Physiology. 130(3). 605–616. 15 indexed citations
10.
Zhang, Qian, Ryan C. Riddle, Qian Yang, et al.. (2019). The RNA demethylase FTO is required for maintenance of bone mass and functions to protect osteoblasts from genotoxic damage. Proceedings of the National Academy of Sciences. 116(36). 17980–17989. 93 indexed citations
11.
12.
Calabrese, Gina M., Larry D. Mesner, Joseph P. Stains, et al.. (2016). Integrating GWAS and Co-expression Network Data Identifies Bone Mineral Density Genes SPTBN1 and MARK3 and an Osteoblast Functional Module. Cell Systems. 4(1). 46–59.e4. 77 indexed citations
13.
Orozco, Luz D., Marco Morselli, Liudmilla Rubbi, et al.. (2015). Epigenome-Wide Association of Liver Methylation Patterns and Complex Metabolic Traits in Mice. Cell Metabolism. 21(6). 905–917. 71 indexed citations
14.
Song, Woo‐Jin, Prosenjit Mondal, Andrew Wolfe, et al.. (2014). Glucagon Regulates Hepatic Kisspeptin to Impair Insulin Secretion. Cell Metabolism. 19(4). 667–681. 172 indexed citations
15.
Hazarika, Surovi, Charles R. Farber, Ayotunde O. Dokun, et al.. (2013). MicroRNA-93 Controls Perfusion Recovery After Hindlimb Ischemia by Modulating Expression of Multiple Genes in the Cell Cycle Pathway. Circulation. 127(17). 1818–1828. 92 indexed citations
16.
Farber, Charles R.. (2012). Systems Genetics: A Novel Approach to Dissect the Genetic Basis of Osteoporosis. Current Osteoporosis Reports. 10(3). 228–235. 12 indexed citations
17.
Casellas, J., Charles R. Farber, Ricardo A. Verdugo, & Juan F. Medrano. (2009). Segregation Analysis of a Sex Ratio Distortion Locus in Congenic Mice. Journal of Heredity. 101(3). 351–359. 3 indexed citations
18.
Farber, Charles R. & Juan F. Medrano. (2007). Dissection of a genetically complex cluster of growth and obesity QTLs on mouse chromosome 2 using subcongenic intercrosses. Mammalian Genome. 18(9). 635–645. 17 indexed citations
19.
Farber, Charles R. & Juan F. Medrano. (2006). Fine Mapping Reveals Sex Bias in Quantitative Trait Loci Affecting Growth, Skeletal Size and Obesity-Related Traits on Mouse Chromosomes 2 and 11. Genetics. 175(1). 349–360. 32 indexed citations
20.
Farber, Charles R., Nancy E. Raney, D. L. Kuhlers, Kalaivani Nadarajah, & Catherine W. Ernst. (2003). Mapping of Porcine Genetic Markers Generated by Representational Difference Analysis. Animal Biotechnology. 14(1). 87–102.

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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