David Karasik

18.8k total citations
133 papers, 3.6k citations indexed

About

David Karasik is a scholar working on Molecular Biology, Genetics and Orthopedics and Sports Medicine. According to data from OpenAlex, David Karasik has authored 133 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 60 papers in Genetics and 45 papers in Orthopedics and Sports Medicine. Recurrent topics in David Karasik's work include Bone health and osteoporosis research (45 papers), Genetic Associations and Epidemiology (34 papers) and Bone Metabolism and Diseases (28 papers). David Karasik is often cited by papers focused on Bone health and osteoporosis research (45 papers), Genetic Associations and Epidemiology (34 papers) and Bone Metabolism and Diseases (28 papers). David Karasik collaborates with scholars based in United States, Israel and Netherlands. David Karasik's co-authors include Douglas P. Kiel, L. Adrienne Cupples, Serkalem Demissie, Gregory Livshits, Mary Bouxsein, Marian T. Hannan, Deepak Kumar Khajuria, Josée Dupuis, E. Kobyliansky and Joanne M. Murabito and has published in prestigious journals such as American Journal of Clinical Nutrition, The Journal of Clinical Endocrinology & Metabolism and Cell Metabolism.

In The Last Decade

David Karasik

129 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Karasik United States 37 1.7k 1.2k 1.0k 527 388 133 3.6k
Urszula T. Iwaniec United States 33 1.3k 0.8× 1.2k 0.9× 415 0.4× 851 1.6× 656 1.7× 136 3.6k
Bram C. J. van der Eerden Netherlands 32 1.6k 1.0× 505 0.4× 638 0.6× 410 0.8× 440 1.1× 131 4.2k
Fiona E. McGuigan Sweden 30 904 0.5× 1.3k 1.1× 454 0.4× 443 0.8× 455 1.2× 88 3.0k
Li Sun United States 38 2.3k 1.4× 876 0.7× 678 0.7× 743 1.4× 825 2.1× 85 4.7k
Jameel Iqbal United States 28 1.5k 0.9× 833 0.7× 416 0.4× 309 0.6× 755 1.9× 72 3.4k
Cyrille B. Confavreux France 25 1.5k 0.9× 1.4k 1.1× 403 0.4× 686 1.3× 1.1k 2.8× 86 4.4k
Diane M. Cullen United States 28 1.2k 0.7× 1.5k 1.2× 333 0.3× 414 0.8× 489 1.3× 61 3.3k
Giampiero I. Baroncelli Italy 29 668 0.4× 675 0.5× 651 0.6× 356 0.7× 295 0.8× 90 2.5k
Heather Gordish‐Dressman United States 40 2.6k 1.6× 707 0.6× 1.1k 1.1× 1.0k 1.9× 138 0.4× 179 5.2k
Timothy D. Spector United Kingdom 35 1.1k 0.7× 385 0.3× 934 0.9× 452 0.9× 371 1.0× 81 4.5k

Countries citing papers authored by David Karasik

Since Specialization
Citations

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

Fields of papers citing papers by David Karasik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Karasik. 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 David Karasik. The network helps show where David Karasik may publish in the future.

Co-authorship network of co-authors of David Karasik

This figure shows the co-authorship network connecting the top 25 collaborators of David Karasik. A scholar is included among the top collaborators of David Karasik 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 David Karasik. David Karasik 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.
Li, Guangfei, Pianpian Zhao, Wenjin Xiao, et al.. (2024). The paradox of bone mineral density and fracture risk in type 2 diabetes. Endocrine. 85(3). 1100–1103. 6 indexed citations
2.
Saedi, Ahmed Al, et al.. (2024). The Interplay of Lipid Signaling in Musculoskeletal Cross Talk: Implications for Health and Disease. Methods in molecular biology. 2816. 1–11. 1 indexed citations
3.
Ackert‐Bicknell, Cheryl L. & David Karasik. (2023). Proceedings of the Post-Genome Analysis for Musculoskeletal Biology Workshop. Current Osteoporosis Reports. 21(2). 184–192. 1 indexed citations
4.
Sinnott-Armstrong, Nasa, Isabel Sousa, Samantha Laber, et al.. (2021). A regulatory variant at 3q21.1 confers an increased pleiotropic risk for hyperglycemia and altered bone mineral density. Cell Metabolism. 33(3). 615–628.e13. 27 indexed citations
5.
Bek, Jan Willem, Chen Shochat, Adelbert De Clercq, et al.. (2020). Lrp5 Mutant and Crispant Zebrafish Faithfully Model Human Osteoporosis, Establishing the Zebrafish as a Platform for CRISPR-Based Functional Screening of Osteoporosis Candidate Genes. Journal of Bone and Mineral Research. 36(9). 1749–1764. 18 indexed citations
6.
Christou, María, Evangelia Ntzani, & David Karasik. (2020). Genetic Pleiotropy of Bone-Related Phenotypes: Insights from Osteoporosis. Current Osteoporosis Reports. 18(5). 606–619. 2 indexed citations
7.
Kwon, Ronald Y., et al.. (2019). Using zebrafish to study skeletal genomics. Bone. 126. 37–50. 49 indexed citations
8.
Samsonov, R. B., et al.. (2016). Stimulation of metastatic activity of breast cancer cells by plasma exosomes. Russian Journal of Biotherapy. 15(2). 6–15. 1 indexed citations
9.
Karasik, David, Fernando Rivadeneira, & Mark L. Johnson. (2016). The genetics of bone mass and susceptibility to bone diseases. Nature Reviews Rheumatology. 12(6). 323–334. 70 indexed citations
10.
Karasik, David & Anne B. Newman. (2015). Models to Explore Genetics of Human Aging. Advances in experimental medicine and biology. 847. 141–161. 4 indexed citations
11.
Karasik, David, et al.. (2013). Structural maintenance of chromosome complexes and bone development: the beginning of a wonderful relationship?. BoneKEy Reports. 2. 388–388. 7 indexed citations
12.
Karasik, David & Miri Cohen. (2012). The genetic pleiotropy of musculoskeletal aging. Frontiers in Physiology. 3. 303–303. 30 indexed citations
13.
Coviello, Andrea D., Wei Zhuang, Kathryn L. Lunetta, et al.. (2011). Circulating Testosterone and SHBG Concentrations Are Heritable in Women: The Framingham Heart Study. The Journal of Clinical Endocrinology & Metabolism. 96(9). E1491–E1495. 25 indexed citations
14.
Kuningas, Maris, Karol Estrada, Yi‐Hsiang Hsu, et al.. (2011). Large common deletions associate with mortality at old age. Human Molecular Genetics. 20(21). 4290–4296. 29 indexed citations
15.
Karasik, David, Yanhua Zhou, Yuqing Zhang, et al.. (2008). A genome wide linkage scan of metacarpal size and geometry in the Framingham Study. American Journal of Human Biology. 20(6). 663–670. 10 indexed citations
16.
Karasik, David, Josée Dupuis, L. Adrienne Cupples, et al.. (2007). Bivariate Linkage Study of Proximal Hip Geometry and Body Size Indices: The Framingham Study. Calcified Tissue International. 81(3). 162–173. 24 indexed citations
17.
Bouxsein, Mary & David Karasik. (2006). Bone geometry and skeletal fragility. Current Osteoporosis Reports. 4(2). 49–56. 121 indexed citations
18.
Demissie, Serkalem, Josée Dupuis, L. Adrienne Cupples, et al.. (2006). Proximal hip geometry is linked to several chromosomal regions: Genome-wide linkage results from the Framingham Osteoporosis Study. Bone. 40(3). 743–750. 45 indexed citations
19.
Otremski, I., David Karasik, & Gregory Livshits. (2000). Genetic Variation and Covariation of Parathyroid Hormone Levels and Bone Density in the Human Population. Calcified Tissue International. 66(3). 168–175. 12 indexed citations
20.
Karasik, David, et al.. (1999). Violent Mortality Patterns in Immigrants in Israel (1990–95). Medicine Science and the Law. 39(2). 173–181. 2 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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