Annamaria Zaia

470 total citations
28 papers, 304 citations indexed

About

Annamaria Zaia is a scholar working on Molecular Biology, Physiology and Aging. According to data from OpenAlex, Annamaria Zaia has authored 28 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Physiology and 6 papers in Aging. Recurrent topics in Annamaria Zaia's work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Bone health and osteoporosis research (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Annamaria Zaia is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (6 papers), Bone health and osteoporosis research (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Annamaria Zaia collaborates with scholars based in Italy, United States and Russia. Annamaria Zaia's co-authors include L. Piantanelli, Pierluigi Maponi, Andrea Basso, Claudio Viticchi, R Rossi, R. Murri, Gail Fraizer, Grady F. Saunders, Tiziana Casoli and Vladimir N. Anisimov and has published in prestigious journals such as International Journal of Molecular Sciences, Annals of the New York Academy of Sciences and Annals of the Rheumatic Diseases.

In The Last Decade

Annamaria Zaia

27 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Annamaria Zaia Italy	12	104	60	50	40	36	28	304
Naoki Okubo Japan	10	93 0.9×	110 1.8×	28 0.6×	124 3.1×	39 1.1×	34	357
Christopher Coletta United States	9	117 1.1×	41 0.7×	30 0.6×	7 0.2×	26 0.7×	11	280
Melanie Fuchs Germany	5	255 2.5×	218 3.6×	52 1.0×	17 0.4×	69 1.9×	8	507
М. Г. Пшенникова Russia	9	122 1.2×	132 2.2×	23 0.5×	30 0.8×	18 0.5×	37	339
Hailong Chen China	12	107 1.0×	170 2.8×	15 0.3×	45 1.1×	21 0.6×	30	347
Quentin Thorel France	4	154 1.5×	113 1.9×	13 0.3×	106 2.6×	24 0.7×	4	325
Marina Tarsitano Italy	10	131 1.3×	66 1.1×	34 0.7×	44 1.1×	27 0.8×	16	313
Tobias Speerschneider Denmark	12	252 2.4×	148 2.5×	69 1.4×	17 0.4×	18 0.5×	17	516
Justin J. Reid United States	11	256 2.5×	247 4.1×	20 0.4×	18 0.5×	35 1.0×	15	467

Countries citing papers authored by Annamaria Zaia

Since Specialization

Citations

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

Fields of papers citing papers by Annamaria Zaia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annamaria Zaia

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

All Works

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20 of 20 papers shown

Zaia, Annamaria, et al.. (2024). Fractal Features of Muscle to Quantify Fatty Infiltration in Aging and Pathology. Fractal and Fractional. 8(5). 275–275.

Zaia, Annamaria, et al.. (2023). Measuring Drug Therapy Effect on Osteoporotic Fracture Risk by Trabecular Bone Lacunarity: The LOTO Study. Biomedicines. 11(3). 781–781. 2 indexed citations

Zaia, Annamaria, et al.. (2021). Fractal lacunarity of trabecular bone in vertebral MRI to predict osteoporotic fracture risk in over-fifties women. The LOTO study. BMC Musculoskeletal Disorders. 22(1). 108–108. 10 indexed citations

Zaia, Annamaria, Pierluigi Maponi, Giuseppina Di Stefano, & Tiziana Casoli. (2017). Biocomplexity and Fractality in the Search of Biomarkers of Aging and Pathology: Focus on Mitochondrial DNA and Alzheimer’s Disease. Aging and Disease. 8(1). 44–44. 12 indexed citations

Zaia, Annamaria, et al.. (2017). FRI0527 Lacunarity of trabecular bone microarchitecture, tblβ, as a predictor of bone fragility fracture and potential index of osteoporosis treatment efficacy. the loto study. Annals of the Rheumatic Diseases. 76. 690–691. 1 indexed citations

Zaia, Annamaria. (2015). Fractal lacunarity of trabecular bone and magnetic resonance imaging: New perspectives for osteoporotic fracture risk assessment. World Journal of Orthopedics. 6(2). 221–221. 21 indexed citations

Zaia, Annamaria, et al.. (2006). MR Imaging and Osteoporosis: Fractal Lacunarity Analysis of Trabecular Bone. IEEE Transactions on Information Technology in Biomedicine. 10(3). 484–489. 33 indexed citations

Anisimov, Vladimir N., et al.. (2001). Long-live euthymic BALB/c-nu mice. II: spontaneous tumors and other pathologies. Mechanisms of Ageing and Development. 122(5). 477–489. 13 indexed citations

Piantanelli, L., et al.. (2001). Use of mathematical models of survivorship in the study of biomarkers of aging: the role of heterogeneity. Mechanisms of Ageing and Development. 122(13). 1461–1475. 19 indexed citations

10.

Piantanelli, L., et al.. (2001). Long-live euthymic BALB/c-nu mice. I. Survival study suggests body weight as a life span predictor. Mechanisms of Ageing and Development. 122(5). 463–475. 12 indexed citations

11.

Zaia, Annamaria & L. Piantanelli. (2000). Insulin receptors in the brain cortex of aging mice. Mechanisms of Ageing and Development. 113(3). 227–232. 29 indexed citations

12.

Zaia, Annamaria & L. Piantanelli. (2000). Insulin receptors in mouse brain: Reversibility of age-related impairments by a thymic extract. AGE. 23(3). 133–139. 2 indexed citations

13.

Zaia, Annamaria & L. Piantanelli. (1997). Insulin receptors in mouse brain: age-related modifications are corrected by thymus graft. Mechanisms of Ageing and Development. 98(1). 37–46. 7 indexed citations

14.

Zaia, Annamaria & L. Piantanelli. (1996). Alterations of brain insulin receptor characteristics in aging mice. Archives of Gerontology and Geriatrics. 23(1). 27–37. 12 indexed citations

15.

Piantanelli, L., Annamaria Zaia, Claudio Viticchi, et al.. (1994). Influence of L‐Deprenyl Treatment on Mouse Survival Kinetics. Annals of the New York Academy of Sciences. 717(1). 72–78. 13 indexed citations

16.

Zaia, Annamaria, Claudio Viticchi, & L. Piantanelli. (1992). Differential Regulation of Brain β‐Adrenoceptor Subpopulations in Aging Rodents. Annals of the New York Academy of Sciences. 673(1). 200–205. 11 indexed citations

17.

Viticchi, Claudio, Andrea Basso, Annamaria Zaia, & L. Piantanelli. (1992). Thyroid hormone-induced up-regulation of β1- and β2-adrenergic receptors during aging. Archives of Gerontology and Geriatrics. 15. 367–374. 1 indexed citations

18.

Basso, Andrea, et al.. (1992). The human lymphocyte as a model of β-adrenoceptor reculation in aging and disease. Archives of Gerontology and Geriatrics. 15. 37–45. 3 indexed citations

19.

Viticchi, Claudio, et al.. (1991). Thymus-induced recovery of age-related decrease of brain cortex α-and β-Adrenoceptors. International Journal of Neuroscience. 59(1-3). 143–150. 27 indexed citations

20.

Piantanelli, L., et al.. (1991). Functional interrelationships in aging processes: alterations and reversibility. Archives of Gerontology and Geriatrics. 12(2-3). 291–301. 5 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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