Stefano Zanotti

2.7k total citations
54 papers, 2.1k citations indexed

About

Stefano Zanotti is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Stefano Zanotti has authored 54 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 14 papers in Genetics and 8 papers in Oncology. Recurrent topics in Stefano Zanotti's work include Bone Metabolism and Diseases (25 papers), TGF-β signaling in diseases (23 papers) and Developmental Biology and Gene Regulation (19 papers). Stefano Zanotti is often cited by papers focused on Bone Metabolism and Diseases (25 papers), TGF-β signaling in diseases (23 papers) and Developmental Biology and Gene Regulation (19 papers). Stefano Zanotti collaborates with scholars based in United States, United Kingdom and Italy. Stefano Zanotti's co-authors include Ernesto Canalis, Anna Smerdel‐Ramoya, Lisa Stadmeyer, Deena Durant, Kristen Parker, Jungeun Yu, Freddy Radtke, Aris N. Economides, Jian Q. Feng and Douglas J. Adams and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Stefano Zanotti

54 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefano Zanotti United States 29 1.7k 373 353 311 240 54 2.1k
Kinglun Kingston Mak Hong Kong 21 1.6k 1.0× 256 0.7× 306 0.9× 386 1.2× 343 1.4× 31 2.8k
Takeshi Moriishi Japan 22 1.2k 0.7× 194 0.5× 384 1.1× 285 0.9× 230 1.0× 42 1.7k
Kyu Sang Joeng United States 16 1.2k 0.7× 423 1.1× 277 0.8× 175 0.6× 219 0.9× 27 1.7k
Daniela Später United States 9 1.7k 1.0× 468 1.3× 198 0.6× 267 0.9× 176 0.7× 12 2.1k
Hayk Hovhannisyan United States 10 1.2k 0.7× 265 0.7× 289 0.8× 160 0.5× 207 0.9× 23 1.6k
Naoko Kanatani Japan 12 1.5k 0.9× 290 0.8× 554 1.6× 625 2.0× 364 1.5× 12 2.0k
Elda Munivez United States 19 1.0k 0.6× 574 1.5× 225 0.6× 475 1.5× 437 1.8× 25 1.7k
Kei Yamana Japan 15 1.1k 0.7× 158 0.4× 369 1.0× 382 1.2× 304 1.3× 31 1.5k
Xiaolan Du China 21 1.0k 0.6× 360 1.0× 148 0.4× 494 1.6× 278 1.2× 48 1.5k
Mark M. Taketo Japan 5 1.1k 0.7× 250 0.7× 462 1.3× 149 0.5× 165 0.7× 5 1.6k

Countries citing papers authored by Stefano Zanotti

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Zanotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Zanotti

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Zanotti. A scholar is included among the top collaborators of Stefano Zanotti 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 Stefano Zanotti. Stefano Zanotti 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.
Canalis, Ernesto, et al.. (2021). Activation of Notch3 in osteoblasts/osteocytes causes compartment-specific changes in bone remodeling. Journal of Biological Chemistry. 296. 100583–100583. 8 indexed citations
2.
Yu, Jungeun, et al.. (2018). Induction of the Hajdu-Cheney Syndrome Mutation in CD19 B Cells in Mice Alters B-Cell Allocation but Not Skeletal Homeostasis. American Journal Of Pathology. 188(6). 1430–1446. 4 indexed citations
3.
Yu, Jungeun, et al.. (2018). Nuclear factor of activated T cells 2 is required for osteoclast differentiation and function in vitro but not in vivo. Journal of Cellular Biochemistry. 119(11). 9334–9345. 10 indexed citations
4.
Zanotti, Stefano, et al.. (2018). Glucocorticoids inhibit notch target gene expression in osteoblasts. Journal of Cellular Biochemistry. 119(7). 6016–6023. 22 indexed citations
5.
Zanotti, Stefano, et al.. (2018). Mice harboring a Hajdu Cheney Syndrome mutation are sensitized to osteoarthritis. Bone. 114. 198–205. 18 indexed citations
6.
Zanotti, Stefano, et al.. (2017). Sustained Notch2 signaling in osteoblasts, but not in osteoclasts, is linked to osteopenia in a mouse model of Hajdu-Cheney syndrome. Journal of Biological Chemistry. 292(29). 12232–12244. 27 indexed citations
7.
Zanotti, Stefano & Ernesto Canalis. (2017). Parathyroid hormone inhibits Notch signaling in osteoblasts and osteocytes. Bone. 103. 159–167. 32 indexed citations
8.
Yu, Jungeun, et al.. (2017). The Hajdu Cheney Mutation Is a Determinant of B-Cell Allocation of the Splenic Marginal Zone. American Journal Of Pathology. 188(1). 149–159. 9 indexed citations
9.
Canalis, Ernesto & Stefano Zanotti. (2016). Hairy and Enhancer of Split‐Related With YRPW Motif‐Like (HeyL) Is Dispensable for Bone Remodeling in Mice. Journal of Cellular Biochemistry. 118(7). 1819–1826. 7 indexed citations
10.
Canalis, Ernesto, Stefano Zanotti, & Anna Smerdel‐Ramoya. (2014). Connective Tissue Growth Factor is a Target of Notch Signaling in Cells of the Osteoblastic Lineage. Bone. 64. 273–280. 13 indexed citations
11.
Canalis, Ernesto & Stefano Zanotti. (2014). Hajdu-Cheney syndrome: a review. Orphanet Journal of Rare Diseases. 9(1). 200–200. 60 indexed citations
12.
Sylvester, Francisco, Catherine M. Gordon, Meena Thayu, et al.. (2013). Report of the CCFA Pediatric Bone, Growth and Muscle Health Workshop, New York City, November 11–12, 2011, With Updates. Inflammatory Bowel Diseases. 19(13). 2919–2926. 12 indexed citations
13.
Zanotti, Stefano & Ernesto Canalis. (2013). Hairy and Enhancer of Split-related with YRPW Motif (HEY)2 Regulates Bone Remodeling in Mice. Journal of Biological Chemistry. 288(30). 21547–21557. 15 indexed citations
14.
Zanotti, Stefano & Ernesto Canalis. (2013). Interleukin 6 mediates selected effects of Notch in chondrocytes. Osteoarthritis and Cartilage. 21(11). 1766–1773. 37 indexed citations
15.
Canalis, Ernesto, et al.. (2013). Notch Signaling in Osteocytes Differentially Regulates Cancellous and Cortical Bone Remodeling. Journal of Biological Chemistry. 288(35). 25614–25625. 87 indexed citations
16.
Zanotti, Stefano & Ernesto Canalis. (2011). Nemo‐like kinase inhibits osteoblastogenesis by suppressing bone morphogenetic protein and WNT canonical signaling. Journal of Cellular Biochemistry. 113(2). 449–456. 18 indexed citations
17.
Zanotti, Stefano & Ernesto Canalis. (2011). Notch Regulation of Bone Development and Remodeling and Related Skeletal Disorders. Calcified Tissue International. 90(2). 69–75. 48 indexed citations
18.
Smerdel‐Ramoya, Anna, Stefano Zanotti, & Ernesto Canalis. (2010). Nephroblastoma overexpressed (Nov) induces gremlin in ST‐2 stromal cell lines by post‐transcriptional mechanisms. Journal of Cellular Biochemistry. 112(2). 715–722. 4 indexed citations
19.
Zanotti, Stefano, Anna Smerdel‐Ramoya, Lisa Stadmeyer, & Ernesto Canalis. (2008). Activation of the ERK pathway in osteoblastic cells, role of gremlin and BMP‐2. Journal of Cellular Biochemistry. 104(4). 1421–1426. 23 indexed citations
20.
Manduca, Paola, et al.. (2005). FMS*Calciumfluor specifically increases mRNA levels and induces signaling via MAPK 42,44 and not FAK in differentiating rat osteoblasts. Cell Biology International. 29(8). 629–637. 9 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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