D. Dall’Amico

835 total citations · 1 hit paper
9 papers, 578 citations indexed

About

D. Dall’Amico is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Infectious Diseases. According to data from OpenAlex, D. Dall’Amico has authored 9 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pediatrics, Perinatology and Child Health, 4 papers in Obstetrics and Gynecology and 2 papers in Infectious Diseases. Recurrent topics in D. Dall’Amico's work include Prenatal Screening and Diagnostics (4 papers), Gestational Diabetes Research and Management (3 papers) and Pregnancy and preeclampsia studies (2 papers). D. Dall’Amico is often cited by papers focused on Prenatal Screening and Diagnostics (4 papers), Gestational Diabetes Research and Management (3 papers) and Pregnancy and preeclampsia studies (2 papers). D. Dall’Amico collaborates with scholars based in Italy, United Kingdom and United States. D. Dall’Amico's co-authors include Aldo Maina, Jonathan P. Bestwick, Arthur B. Parkes, John H. Lazarus, M Perona, V. Guaraldo, Lynne M. George, Rhys John, Ruth Paradice and Nicholas Wald and has published in prestigious journals such as New England Journal of Medicine, The Journal of Clinical Endocrinology & Metabolism and Obstetrical & Gynecological Survey.

In The Last Decade

D. Dall’Amico

9 papers receiving 548 citations

Hit Papers

Antenatal Thyroid Screening and Childhood Cognitive Function 2012 2026 2016 2021 2012 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
D. Dall’Amico Italy 7 432 240 138 72 64 9 578
V. Guaraldo Italy 6 424 1.0× 201 0.8× 144 1.0× 72 1.0× 10 0.2× 7 497
Sima Nazarpour Iran 12 439 1.0× 187 0.8× 197 1.4× 64 0.9× 32 0.5× 35 611
José L. Mestre Spain 8 214 0.5× 141 0.6× 45 0.3× 48 0.7× 55 0.9× 18 516
Annemette Jørgensen Denmark 9 186 0.4× 66 0.3× 101 0.7× 23 0.3× 17 0.3× 19 398
Tao Meng China 9 303 0.7× 139 0.6× 141 1.0× 30 0.4× 13 0.2× 14 407
Lihua Bi China 6 273 0.6× 101 0.4× 107 0.8× 28 0.4× 9 0.1× 7 336
David A. van Tijn Netherlands 11 368 0.9× 155 0.6× 16 0.1× 101 1.4× 111 1.7× 13 562
Jyoti A Deshpande India 6 120 0.3× 268 1.1× 168 1.2× 17 0.2× 10 0.2× 6 626
Fumihiro Miura Japan 10 74 0.2× 241 1.0× 150 1.1× 19 0.3× 12 0.2× 19 456
Tomislav Jukić Croatia 7 280 0.6× 176 0.7× 18 0.1× 25 0.3× 17 0.3× 22 348

Countries citing papers authored by D. Dall’Amico

Since Specialization
Citations

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

Fields of papers citing papers by D. Dall’Amico

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Dall’Amico. 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 D. Dall’Amico. The network helps show where D. Dall’Amico may publish in the future.

Co-authorship network of co-authors of D. Dall’Amico

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

All Works

9 of 9 papers shown
1.
Lazarus, John H., Jonathan P. Bestwick, Sue Channon, et al.. (2012). Antenatal Thyroid Screening and Childhood Cognitive Function. New England Journal of Medicine. 366(6). 493–501. 420 indexed citations breakdown →
2.
Lazarus, John H., Jonathan P. Bestwick, Sue Channon, et al.. (2012). Antenatal Thyroid Screening and Childhood Cognitive Function. Obstetrical & Gynecological Survey. 67(6). 337–338. 6 indexed citations
3.
Pearce, Elizabeth N., John H. Lazarus, P. P. A. Smyth, et al.. (2010). Perchlorate and Thiocyanate Exposure and Thyroid Function in First-Trimester Pregnant Women. The Journal of Clinical Endocrinology & Metabolism. 95(7). 3207–3215. 96 indexed citations
4.
Campogrande, M, E. Viora, S. Bastonero, et al.. (2001). Correlations between first and second trimester markers for Down's syndrome screening. Journal of Medical Screening. 8(3). 163–164. 7 indexed citations
5.
Perona, M, et al.. (1998). Influence of smoking habits on Down’s syndrome risk evaluation at mid-trimester through biochemical screening. International Journal of Clinical & Laboratory Research. 28(3). 179–182. 12 indexed citations
6.
Perona, M, et al.. (1997). Repeat testing of mothers with high human chorionic gonadotrophin levels in Down’s syndrome screening. International Journal of Clinical & Laboratory Research. 27(2-4). 253–256. 2 indexed citations
7.
Perona, M, D. Dall’Amico, Enrico Grosso, et al.. (1994). Maternal serum markers. Estimation of the risk of Down's syndrome: a prospective study. International Journal of Clinical & Laboratory Research. 24(1). 49–53. 14 indexed citations
8.
Perona, M, et al.. (1991). Screening for fetal Down's syndrome with maternal serum markers—an experience in italy. Prenatal Diagnosis. 11(4). 245–252. 16 indexed citations
9.
Volpi, Eugenio, et al.. (1991). [Variations in ferritin levels in blood during physiological pregnancy].. PubMed. 43(9). 387–91. 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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