Daniela Germani

33 papers receiving 886 citations

Peers

Daniela Germani
Comparison fields: 5 of 84
  • Obstetrics and Gynecology 236
  • Pediatrics, Perinatology and Child Health 501
  • Endocrinology, Diabetes and Metabolism 285
  • Nutrition and Dietetics 106
  • Physiology 124
Replace Andrew L. Siebel with:
Andrew L. Siebel Australia
Sonja Woodall New Zealand
Ruben H. Willemsen Netherlands
Sara E. Pinney United States
Frans André Van Assche Belgium
Frederick W. Anthony United Kingdom
Liliya M. Yamaleyeva United States
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D. Cortelazzi Italy
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Citations per year

Countries citing papers authored by Daniela Germani

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Germani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Germani, 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 Daniela Germani Line = papers co-authored together Daniela Germani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999207
2 200272
3 200356
4 199849
5 200549
6 200146
7 199842
8 199941
9 200039
10 201436
11 199529
12 200024
13 201322
14 200521
15 199321
16 201619
17 200816
18 201815
19 201912
20 200712

About Daniela Germani

Daniela Germani is a scholar working on Pediatrics, Perinatology and Child Health, Endocrinology, Diabetes and Metabolism, Molecular Biology, Obstetrics and Gynecology and Neurology, having authored 33 papers that have together received 910 indexed citations. Recurring topics across this work include Birth, Development, and Health (16 papers), Growth Hormone and Insulin-like Growth Factors (10 papers), Pregnancy and preeclampsia studies (9 papers), Gestational Diabetes Research and Management (5 papers), Liver Disease Diagnosis and Treatment (3 papers), Sexual Differentiation and Disorders (3 papers), Neuroblastoma Research and Treatments (3 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Obstetrics and Gynecology (236 citations), Pediatrics, Perinatology and Child Health (501 citations), Endocrinology, Diabetes and Metabolism (285 citations), Nutrition and Dietetics (106 citations) and Physiology (124 citations). Daniela Germani has collaborated with scholars based in Italy, Sweden and United Kingdom. Frequent co-authors include Stefano Cianfarani, Francesco Branca, Antonella Puglianiello, Caterina Geremia, Sergio Boemi, Arianna Maiorana, Giuseppe Scirè, Carolyn D. Scott, Paolo Rossi and Gian Luigi Spadoni. Their work appears in journals such as Hormone Research in Paediatrics, Pediatric Research, The Journal of Clinical Endocrinology & Metabolism, Endocrine development and European Journal of Endocrinology.

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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