Nina Forestieri

999 citations
24 papers · 434 · h-index 11

Impact in

Papers in

Nina Forestieri

21 papers receiving 424 citations

Peers

Nina Forestieri
Comparison fields: 5 of 75
  • Urology 39
  • Reproductive Medicine 46
  • Pediatrics, Perinatology and Child Health 107
  • Public Health, Environmental and Occupational Health 133
  • Speech and Hearing 19
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Nicole Sitkin United States
Helymar da Costa Machado Brazil
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Henri Goldstein Denmark
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C.J. Alverson United States
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Citations per field
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Citations per year

Countries citing papers authored by Nina Forestieri

Since Specialization
Citations

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

Fields of papers citing papers by Nina Forestieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nina Forestieri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nina Forestieri Line = papers co-authored together Nina Forestieri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014104
2 202063
3 201953
4 201832
5 201732
6 201826
7 201721
8 202017
9 201614
10 202113
11 202310
12 20199
13 20218
14 20177
15 20226
16 20215
17 20205
18 20225
19 20232
20 20241

About Nina Forestieri

Nina Forestieri is a scholar working on Surgery, Pediatrics, Perinatology and Child Health, Epidemiology, Obstetrics and Gynecology and Pathology and Forensic Medicine, having authored 24 papers that have together received 434 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (5 papers), Congenital Anomalies and Fetal Surgery (5 papers), Congenital Heart Disease Studies (5 papers), Pregnancy and preeclampsia studies (4 papers), Vitamin D Research Studies (3 papers), Assisted Reproductive Technology and Twin Pregnancy (3 papers), Cardiac Structural Anomalies and Repair (2 papers) and Obesity, Physical Activity, Diet (2 papers). The work is most often cited by research in Urology (39 citations), Reproductive Medicine (46 citations), Pediatrics, Perinatology and Child Health (107 citations), Public Health, Environmental and Occupational Health (133 citations) and Speech and Hearing (19 citations). Nina Forestieri has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Sara E. Benjamin Neelon, Mark A. Canfield, Abbey Alkon, Jonathan B. Kotch, Sherika Hill, Yi Pan, Angela A. Crowley, Robert E. Meyer, Carol L. Wagner and Philip J. Lupo. Their work appears in journals such as Birth Defects Research, Journal of Exposure Science & Environmental Epidemiology, Frontiers in Pediatrics, JAMA Network Open and American Journal of Clinical Nutrition.

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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