Maria Spano

4.4k total citations · 3 hit papers
74 papers, 3.1k citations indexed

About

Maria Spano is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Cancer Research. According to data from OpenAlex, Maria Spano has authored 74 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Reproductive Medicine, 18 papers in Public Health, Environmental and Occupational Health and 12 papers in Cancer Research. Recurrent topics in Maria Spano's work include Sperm and Testicular Function (27 papers), Reproductive Biology and Fertility (17 papers) and Carcinogens and Genotoxicity Assessment (10 papers). Maria Spano is often cited by papers focused on Sperm and Testicular Function (27 papers), Reproductive Biology and Fertility (17 papers) and Carcinogens and Genotoxicity Assessment (10 papers). Maria Spano collaborates with scholars based in Italy, Denmark and Sweden. Maria Spano's co-authors include Michelangelo Misuraca, M. Bungum, Juris Ērenpreiss, Aleksander Giwercman, Massimo Aria, A. Giwercman, Peter Humaidan, Anna Axmon, Leif Bungum and Eugenia Cordelli and has published in prestigious journals such as Annals of the New York Academy of Sciences, Human Reproduction and Sensors and Actuators B Chemical.

In The Last Decade

Maria Spano

72 papers receiving 3.0k citations

Hit Papers

Sperm DNA integrity assessment in prediction of assisted ... 2006 2026 2012 2019 2006 2020 2022 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
Maria Spano Italy 27 1.7k 1.3k 475 389 292 74 3.1k
Wen Zou United States 21 230 0.1× 263 0.2× 222 0.5× 587 1.5× 43 0.1× 67 2.0k
Zhilin Liu China 24 339 0.2× 469 0.4× 55 0.1× 493 1.3× 37 0.1× 159 2.3k
Robert Cook‐Deegan United States 32 231 0.1× 1.0k 0.8× 53 0.1× 757 1.9× 368 1.3× 150 3.6k
Hui Wang China 41 89 0.1× 405 0.3× 513 1.1× 2.1k 5.4× 186 0.6× 407 6.9k
Robert C. Jones United States 36 174 0.1× 181 0.1× 81 0.2× 1.1k 2.7× 78 0.3× 158 4.9k
Paul Walker Australia 34 122 0.1× 91 0.1× 550 1.2× 823 2.1× 45 0.2× 104 3.8k
K. Sexton United States 22 66 0.0× 160 0.1× 579 1.2× 199 0.5× 34 0.1× 45 1.6k
Sheldon Krimsky United States 27 66 0.0× 515 0.4× 116 0.2× 262 0.7× 50 0.2× 117 3.3k
Matthew R. Bonner United States 39 40 0.0× 320 0.2× 1.4k 2.9× 944 2.4× 132 0.5× 109 4.7k
W. H. Butler United Kingdom 39 91 0.1× 86 0.1× 504 1.1× 1.1k 2.7× 175 0.6× 134 4.1k

Countries citing papers authored by Maria Spano

Since Specialization
Citations

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

Fields of papers citing papers by Maria Spano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Spano

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Spano. A scholar is included among the top collaborators of Maria Spano 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 Maria Spano. Maria Spano 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
2.
Misuraca, Michelangelo, et al.. (2024). E-wom and territorial analyses: the use of opinion mining in tourism. Zenodo (CERN European Organization for Nuclear Research). 33(1). 79–99.
3.
Aria, Massimo, Corrado Cuccurullo, Luca D’Aniello, Michelangelo Misuraca, & Maria Spano. (2022). Thematic Analysis as a New Culturomic Tool: The Social Media Coverage on COVID-19 Pandemic in Italy. Sustainability. 14(6). 3643–3643. 103 indexed citations breakdown →
4.
Segovia, Juan Evangelista Trinidad, et al.. (2022). A Bibliometric Analysis on Agent‐Based Models in Finance: Identification of Community Clusters and Future Research Trends. Complexity. 2022(1). 3 indexed citations
5.
Misuraca, Michelangelo, et al.. (2021). Using Opinion Mining as an educational analytic: An integrated strategy for the analysis of students’ feedback. Studies In Educational Evaluation. 68. 100979–100979. 31 indexed citations
6.
Matano, Fabio, et al.. (2020). Integrated dataset of deformation measurements in fractured volcanic tuff and meteorological data (Coroglio coastal cliff, Naples, Italy). Earth system science data. 12(1). 321–344. 5 indexed citations
7.
Aria, Massimo, Michelangelo Misuraca, & Maria Spano. (2020). Mapping the Evolution of Social Research and Data Science on 30 Years of Social Indicators Research. Social Indicators Research. 149(3). 803–831. 292 indexed citations breakdown →
8.
Misuraca, Michelangelo, et al.. (2018). BMS: An improved Dunn index for Document Clustering validation. Communication in Statistics- Theory and Methods. 48(20). 5036–5049. 15 indexed citations
9.
Misuraca, Michelangelo, et al.. (2018). A network approach to dimensionality reduction in Text Mining. 1 indexed citations
10.
Ginesti, Gianluca, Riccardo Macchioni, Giuseppe Sannino, & Maria Spano. (2013). The Impact of International Accounting Standards Board (IASB)'s Guidelines for Preparing Management Commentary (MC): Evidence From Italian Listed Firms. SSRN Electronic Journal. 7 indexed citations
11.
Ståhl, O., Jakob Eberhard, Eva Cavallin‐Ståhl, et al.. (2009). Sperm DNA integrity in cancer patients: the effect of disease and treatment. International Journal of Andrology. 32(6). 695–703. 41 indexed citations
12.
Ērenpreiss, Juris, et al.. (2006). Intra-individual variation in sperm chromatin structure assay parameters in men from infertile couples: clinical implications. Human Reproduction. 21(8). 2061–2064. 65 indexed citations
13.
Ērenpreiss, Juris, et al.. (2006). Sperm chromatin structure and male fertility: biological and clinical aspects. Asian Journal of Andrology. 8(1). 11–29. 221 indexed citations
14.
Giwercman, Aleksander, Maria Spano, Jaana Lähdetie, & J P Bonde. (1999). Quality assurance of semen analysis in multicenter studies. Ghent University Academic Bibliography (Ghent University). 22 indexed citations
15.
Larsen, S. B., et al.. (1999). Seminal characteristics following exposure to pesticides among agricultural workers. Ghent University Academic Bibliography (Ghent University). 10 indexed citations
17.
Kolstad, Henrik Albert, Jens Peter Bonde, Maria Spano, et al.. (1999). Sperm chromatin structure and semen quality following occupational styrene exposure. Scandinavian Journal of Work Environment & Health. 25(1). 70–73. 15 indexed citations
18.
Pacchierotti, Francesca, Cecilia Tiveron, R. Ranaldi, et al.. (1998). Reproductive toxicity of 1,3-butadiene in the mouse: cytogenetic analysis of chromosome aberrations in first-cleavage embryos and flow cytometric evaluation of spermatogonial cell killing. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 397(1). 55–66. 17 indexed citations
19.
Spano, Maria, Arnulf Kolstad, S. B. Larsen, et al.. (1998). The applicability of the flow cytometric sperm chromatin structure assay in epidemiological studies. Asclepios. Human Reproduction. 13(9). 2495–2505. 120 indexed citations
20.
Cividalli, Anna, et al.. (1985). Orgotein as a Radioprotector in Normal Tissues Experiments on mouse skin and a murine adenocarcinoma. Acta Radiologica Oncology. 24(3). 273–277. 4 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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