Mark C. Horowitz

12.1k total citations · 2 hit papers
125 papers, 9.1k citations indexed

About

Mark C. Horowitz is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Mark C. Horowitz has authored 125 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 34 papers in Oncology and 30 papers in Immunology. Recurrent topics in Mark C. Horowitz's work include Bone Metabolism and Diseases (42 papers), Bone health and treatments (18 papers) and Cytokine Signaling Pathways and Interactions (17 papers). Mark C. Horowitz is often cited by papers focused on Bone Metabolism and Diseases (42 papers), Bone health and treatments (18 papers) and Cytokine Signaling Pathways and Interactions (17 papers). Mark C. Horowitz collaborates with scholars based in United States, Canada and Japan. Mark C. Horowitz's co-authors include Joseph Lorenzo, Clifford J. Rosen, Matthew S. Rodeheffer, Melissa A. Kacena, Yongwon Choi, Jackie A. Fretz, Thomas L. McCarthy, John M. Wozney, Gary E. Friedlaender and Thomas S. Kupper and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Mark C. Horowitz

125 papers receiving 8.9k citations

Hit Papers

Adipocyte Lineage Cells Contribute to the Skin Stem Cell ... 2011 2026 2016 2021 2011 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark C. Horowitz United States 55 4.1k 2.1k 1.5k 1.5k 1.2k 125 9.1k
Ulf H. Lerner Sweden 51 4.4k 1.1× 2.2k 1.0× 1.4k 1.0× 1.1k 0.7× 781 0.7× 247 9.1k
Thorsten Schinke Germany 47 4.4k 1.1× 1.7k 0.8× 1.5k 1.0× 794 0.5× 782 0.7× 189 9.7k
Xu Cao United States 63 7.5k 1.9× 2.5k 1.1× 1.4k 0.9× 1.0k 0.7× 924 0.8× 192 13.6k
Gregory P. Boivin United States 53 5.5k 1.4× 1.6k 0.8× 1.7k 1.1× 1.1k 0.7× 452 0.4× 117 11.2k
Martina Rauner Germany 48 3.5k 0.9× 1.9k 0.9× 1.5k 1.0× 917 0.6× 661 0.6× 240 7.3k
Yoshiaki Azuma Japan 41 4.9k 1.2× 2.1k 1.0× 1.6k 1.1× 653 0.4× 496 0.4× 108 7.8k
Guozhi Xiao China 58 6.5k 1.6× 2.6k 1.2× 739 0.5× 914 0.6× 808 0.7× 155 11.9k
Natalie A. Sims Australia 63 7.6k 1.9× 4.6k 2.2× 2.3k 1.6× 1.9k 1.3× 751 0.7× 206 13.0k
Kyoji Ikeda Japan 57 6.7k 1.7× 4.2k 2.0× 1.8k 1.2× 875 0.6× 803 0.7× 135 10.6k
Kurt D. Hankenson United States 47 4.8k 1.2× 1.2k 0.6× 847 0.6× 534 0.4× 539 0.5× 149 9.1k

Countries citing papers authored by Mark C. Horowitz

Since Specialization
Citations

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

Fields of papers citing papers by Mark C. Horowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark C. Horowitz. 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 Mark C. Horowitz. The network helps show where Mark C. Horowitz may publish in the future.

Co-authorship network of co-authors of Mark C. Horowitz

This figure shows the co-authorship network connecting the top 25 collaborators of Mark C. Horowitz. A scholar is included among the top collaborators of Mark C. Horowitz 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 Mark C. Horowitz. Mark C. Horowitz 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.
Johnson, Jay E., Jason D. Plummer, & Mark C. Horowitz. (2024). Intermittent Methionine Restriction Reduces Marrow Fat Accumulation and Preserves More Bone Mass than Continuous Methionine Restriction. PubMed. 1(1). 20230019–20230019. 2 indexed citations
2.
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
3.
Sebo, Zachary L., Elizabeth Rendina-Ruedy, Gene P. Ables, et al.. (2019). Bone Marrow Adiposity: Basic and Clinical Implications. Endocrine Reviews. 40(5). 1187–1206. 85 indexed citations
4.
Fan, Yi, Jun‐ichi Hanai, Phuong Le, et al.. (2017). Parathyroid Hormone Directs Bone Marrow Mesenchymal Cell Fate. Cell Metabolism. 25(3). 661–672. 305 indexed citations
5.
Plummer, Jason D., et al.. (2016). Methionine‐Restricted Diet Increases miRNAs That Can Target RUNX2 Expression and Alters Bone Structure in Young Mice. Journal of Cellular Biochemistry. 118(1). 31–42. 34 indexed citations
6.
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
7.
Cheng, Ying‐Hua, David L. Waning, Brahmananda R. Chitteti, et al.. (2014). Signaling Pathways Involved in Megakaryocyte‐Mediated Proliferation of Osteoblast Lineage Cells. Journal of Cellular Physiology. 230(3). 578–586. 14 indexed citations
8.
Styner, Maya, William R. Thompson, Kornelia Galior, et al.. (2014). Bone marrow fat accumulation accelerated by high fat diet is suppressed by exercise. Bone. 64. 39–46. 123 indexed citations
9.
Gao, Hui, Niklas Mejhert, Jackie A. Fretz, et al.. (2014). Early B Cell Factor 1 Regulates Adipocyte Morphology and Lipolysis in White Adipose Tissue. Cell Metabolism. 19(6). 981–992. 83 indexed citations
10.
Kawano, Tsutomu, Meiling Zhu, Nancy Troiano, et al.. (2012). LIM kinase 1 deficient mice have reduced bone mass. Bone. 52(1). 70–82. 26 indexed citations
11.
Church, Christopher, Mark C. Horowitz, & Matthew S. Rodeheffer. (2012). WAT is a functional adipocyte?. Adipocyte. 1(1). 38–45. 31 indexed citations
12.
Horowitz, Mark C., Jackie A. Fretz, & Joseph Lorenzo. (2010). How B cells influence bone biology in health and disease. Bone. 47(3). 472–479. 79 indexed citations
14.
Rosen, Clifford J., Cheryl L. Ackert‐Bicknell, Martin L. Adamo, et al.. (2004). Congenic mice with low serum IGF-I have increased body fat, reduced bone mineral density, and an altered osteoblast differentiation program. Bone. 35(5). 1046–1058. 93 indexed citations
15.
Horowitz, Mark C.. (2003). Matrix Proteins versus Cytokines in the Regulation of Osteoblast Function and Bone Formation. Calcified Tissue International. 72(1). 5–7. 11 indexed citations
16.
Kacena, Melissa A., et al.. (2001). Inflammation and Bony Changes at the Temporomandibular Joint. Cells Tissues Organs. 169(3). 257–264. 40 indexed citations
17.
Jay, Philippe, Joseph Lorenzo, A. Gregory Bruce, & Mark C. Horowitz. (1996). Oncostatin-M: a new bone active cytokine that activates osteoblasts and inhibits bone resorption.. Endocrinology. 137(4). 1151–1158. 73 indexed citations
18.
Levy, Joan, Christian Schindler, Regina Raz, et al.. (1996). Activation of the JAK-STAT signal transduction pathway by oncostatin-M cultured human and mouse osteoblastic cells.. Endocrinology. 137(4). 1159–1165. 53 indexed citations
19.
Horowitz, Mark C., John M. Wozney, & Thomas L. McCarthy. (1994). Transforming Growth Factor-β Gene Family Members and Bone*. Endocrine Reviews. 15(1). 27–39. 418 indexed citations
20.
Benayahu, Dafna, Mark C. Horowitz, Dov Zipori, & Shlomo Wientroub. (1992). Hemopoietic functions of marrow-derived osteogenic cells. Calcified Tissue International. 51(3). 195–201. 43 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026