G. D’Aniello

8 papers receiving 316 citations

Peers

G. D’Aniello
Comparison fields: 5 of 64
  • Biochemistry 209
  • Clinical Biochemistry 98
  • Biological Psychiatry 16
  • Cellular and Molecular Neuroscience 47
  • Obstetrics and Gynecology 16
Replace Ana Santoro with:
Ana Santoro Brazil
Jeffrey W. Stebbins United States
Claire Yager United States
Lawrence M. Lewin Israel
Maurice Brollo France
E. A. Carrey United Kingdom
Satoshi Shuto Japan
R Mosckovitz United States
Martina Herget Germany
Gek Huey Chua Singapore
G. D’Aniello relative to Ana Santoro Brazil Ana Santoro's profile →
Citations per field
00.5×2.6×
Ana Santoro · 1×
Citations per year

Countries citing papers authored by G. D’Aniello

Since Specialization
Citations

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

Fields of papers citing papers by G. D’Aniello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 1993219
2 200753
3 200315
4
Surgical strategies in cervico-mediastinal goiters.
200614
5 201311
6 20076
7 20033
8
Maternal serum inhibin A measurement may predict the pregnancy outcome in women with threatened abortion
20031
9
[Role of the surgeon in the treatment of small cell lung carcinoma].
20011
10 20020

About G. D’Aniello

G. D’Aniello is a scholar working on Epidemiology, Obstetrics and Gynecology, Biochemistry, Surgery and Pathology and Forensic Medicine, having authored 10 papers that have together received 323 indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (2 papers), Maternal and Perinatal Health Interventions (2 papers), Biomedical Research and Pathophysiology (1 paper), Endometriosis Research and Treatment (1 paper), Biomarkers in Disease Mechanisms (1 paper), Lung Cancer Research Studies (1 paper), Ovarian function and disorders (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Biochemistry (209 citations), Clinical Biochemistry (98 citations), Biological Psychiatry (16 citations), Cellular and Molecular Neuroscience (47 citations) and Obstetrics and Gynecology (16 citations). G. D’Aniello has collaborated with scholars based in Italy, Brazil and United States. Frequent co-authors include Amedeo Vetere, Michele Pischetola, Antimo D’Aniello, G. H. Fisher, Leonard Petrucelli, Enza Topo, Enrico D’Aniello, Fulvio Cappiello, Salvatore Ronsini and Felice Petraglia. Their work appears in journals such as The Journal of Maternal-Fetal & Neonatal Medicine, Journal of Biological Chemistry, European Journal of Obstetrics & Gynecology and Reproductive Biology, Human Reproduction and Gynecological 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.

Explore authors with similar magnitude of impact