Anna Spagnoli

3.5k total citations
73 papers, 2.8k citations indexed

About

Anna Spagnoli is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Anna Spagnoli has authored 73 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 24 papers in Endocrinology, Diabetes and Metabolism and 21 papers in Surgery. Recurrent topics in Anna Spagnoli's work include Growth Hormone and Insulin-like Growth Factors (22 papers), Mesenchymal stem cell research (11 papers) and Osteoarthritis Treatment and Mechanisms (11 papers). Anna Spagnoli is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (22 papers), Mesenchymal stem cell research (11 papers) and Osteoarthritis Treatment and Mechanisms (11 papers). Anna Spagnoli collaborates with scholars based in United States, Italy and Türkiye. Anna Spagnoli's co-authors include Lara Longobardi, Froilán Granero‐Moltó, Lynda O’Rear, Jared A. Weis, Timothy J. Myers, Ron G. Rosenfeld, Tieshi Li, Douglas P. Mortlock, Alfonso Torquati and William A. Horton and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Cell Biology.

In The Last Decade

Anna Spagnoli

71 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
Anna Spagnoli United States 30 1000 679 662 584 568 73 2.8k
Hiromi Nishimura Japan 28 1.9k 1.9× 945 1.4× 779 1.2× 195 0.3× 235 0.4× 86 3.9k
Susanne Grässel Germany 8 1.8k 1.8× 855 1.3× 1.2k 1.9× 689 1.2× 197 0.3× 11 4.2k
Ann E. Canfield United Kingdom 36 1.6k 1.6× 644 0.9× 704 1.1× 615 1.1× 140 0.2× 65 3.9k
Hongxiu Ning United States 29 770 0.8× 1.0k 1.5× 1.0k 1.6× 283 0.5× 322 0.6× 49 2.8k
Anish Sen Majumdar India 27 1.4k 1.4× 1.3k 1.9× 1.4k 2.1× 445 0.8× 200 0.4× 39 3.2k
Ben A. Scheven United Kingdom 29 1.4k 1.4× 410 0.6× 729 1.1× 383 0.7× 163 0.3× 66 3.1k
Ryan C. Riddle United States 35 2.1k 2.1× 415 0.6× 343 0.5× 412 0.7× 469 0.8× 65 4.4k
Sabine Stöckl Germany 11 1.9k 1.9× 871 1.3× 1.3k 2.0× 722 1.2× 203 0.4× 14 4.3k
Janet L. Crane United States 27 1.8k 1.8× 479 0.7× 378 0.6× 778 1.3× 176 0.3× 48 3.5k
Su‐Li Cheng United States 32 2.4k 2.4× 478 0.7× 338 0.5× 635 1.1× 236 0.4× 53 4.4k

Countries citing papers authored by Anna Spagnoli

Since Specialization
Citations

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

Fields of papers citing papers by Anna Spagnoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Spagnoli

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Spagnoli. A scholar is included among the top collaborators of Anna Spagnoli 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 Anna Spagnoli. Anna Spagnoli 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.
Esposito, A., et al.. (2022). CXCR4 mediates the effects of IGF-1R signaling in rodent bone homeostasis and fracture repair. Bone. 166. 116600–116600. 5 indexed citations
2.
Omotosho, Philip, et al.. (2020). Roux-en-Y gastric bypass decreases serum inflammatory markers and cardiovascular risk factors in obese diabetics. Surgery. 169(3). 539–542. 3 indexed citations
3.
Tabone, Lawrence, et al.. (2019). Effects of Roux-en-Y Gastric Bypass on Osteoclast Activity and Bone Density in Morbidly Obese Patients with Type 2 Diabetes. Obesity Surgery. 30(1). 290–295. 10 indexed citations
4.
Longobardi, Lara, Hüseyin Özkan, Alessandro Esposito, et al.. (2014). A role for TGFβ-RII/MCP-5 axis during post traumatic osteoarthritis and potential role of PTHrP in mediating MCP-5 effect. Osteoarthritis and Cartilage. 22. S338–S339. 1 indexed citations
5.
Myers, Timothy J., Cinzia Zucchini, Maria Cristina Manara, et al.. (2014). Expression levels of insulin receptor substrate-1 modulate the osteoblastic differentiation of mesenchymal stem cells and osteosarcoma cells. Growth Factors. 32(1). 41–52. 18 indexed citations
6.
Longobardi, Lara, et al.. (2013). High-resolution micro-computed tomography of articular cartilage and subchondral bone changes in mouse models of osteoarthritis. Osteoarthritis and Cartilage. 21. S229–S229. 3 indexed citations
7.
Li, Tieshi, Lara Longobardi, Timothy J. Myers, et al.. (2012). Joint TGF-β Type II Receptor-Expressing Cells: Ontogeny and Characterization as Joint Progenitors. Stem Cells and Development. 22(9). 1342–1359. 23 indexed citations
8.
Spagnoli, Anna, et al.. (2011). Omental Gene Expression of Adiponectin Correlates with Degree of Insulin Sensitivity Before and After Gastric Bypass Surgery. Obesity Surgery. 22(3). 472–477. 18 indexed citations
9.
Pamuklar, Zehra, et al.. (2011). Necdin–E2F4 interaction provides insulin-sensitizing effect after weight loss induced by gastric bypass surgery. Surgery for Obesity and Related Diseases. 9(1). 94–99. 2 indexed citations
10.
11.
Spagnoli, Anna, Monica Torello, William A. Horton, et al.. (2002). Identification of STAT-1 as a Molecular Target of IGFBP-3 in the Process of Chondrogenesis. Journal of Biological Chemistry. 277(21). 18860–18867. 45 indexed citations
12.
Santilli, Francesca, Anna Spagnoli, Angelika Mohn, et al.. (2001). Increased Vascular Endothelial Growth Factor Serum Concentrations May Help to Identify Patients with Onset of Type 1 Diabetes during Childhood at Risk for Developing Persistent Microalbuminuria. The Journal of Clinical Endocrinology & Metabolism. 86(8). 3871–3876. 41 indexed citations
13.
Chiarelli, Francesco, Anna Spagnoli, F. Basciani, et al.. (2000). Vascular endothelial growth factor (VEGF) in children, adolescents and young adults with Type 1 diabetes mellitus: relation to glycaemic control and microvascular complications. Diabetic Medicine. 17(9). 650–656. 104 indexed citations
14.
Chiarelli, Francesco, Mariapina Pomilio, Angelika Mohn, et al.. (2000). Homocysteine levels during fasting and after methionine loading in adolescents with diabetic retinopathy and nephropathy. The Journal of Pediatrics. 137(3). 386–392. 28 indexed citations
15.
16.
Vorwerk, Peter, Yoshitaka Yamanaka, Anna Spagnoli, Youngman Oh, & Ron G. Rosenfeld. (1998). Insulin and IGF Binding by IGFBP-3 Fragments Derived From Proteolysis, Baculovirus Expression and Normal Human Urine. The Journal of Clinical Endocrinology & Metabolism. 83(4). 1392–1395. 47 indexed citations
17.
Spagnoli, Anna & Ron G. Rosenfeld. (1996). THE MECHANISMS BY WHICH GROWTH HORMONE BRINGS ABOUT GROWTH. Endocrinology and Metabolism Clinics of North America. 25(3). 615–631. 60 indexed citations
18.
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Cianfarani, Stefano, Sergio Boemi, Anna Spagnoli, et al.. (1995). Is IGF binding protein‐3 assessment helpful for the diagnosis of GH deficiency?. Clinical Endocrinology. 43(1). 43–47. 60 indexed citations
20.

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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