Giulia Gelmini

495 citations
14 papers · 342 · h-index 9

Impact in

Papers in

Giulia Gelmini

12 papers receiving 338 citations

Peers

Giulia Gelmini
Comparison fields: 5 of 52
  • Endocrinology, Diabetes and Metabolism 251
  • Endocrine and Autonomic Systems 24
  • Genetics 65
  • Molecular Biology 131
  • Pediatrics, Perinatology and Child Health 29
Replace Ferdy S. van Geest with:
Ferdy S. van Geest Netherlands
Jean‐Marc Vuissoz Switzerland
Mahmoud Alzyoud Qatar
Teresa C. Vieira Brazil
Elvira Dzhura United States
Monika Paroder‐Belenitsky United States
Olga V. Surovtseva Netherlands
Federica Buonocore United Kingdom
Joel K. Campbell United States
Yasuhiro Hosoi Japan
Giulia Gelmini relative to Ferdy S. van Geest Netherlands Ferdy S. van Geest's profile →
Citations per field
00.5×10×20×31×
Ferdy S. van Geest · 1×
Citations per year

Countries citing papers authored by Giulia Gelmini

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Gelmini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2017102
2 201081
3 201147
4 201724
5 201924
6 201720
7 201517
8 201710
9 20118
10 20054
11 20213
12 20082
13
Turn-taking and mode-switching in grounding text-based communication in the classroom
20080
14 20200

About Giulia Gelmini

Giulia Gelmini is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Computer Vision and Pattern Recognition, Human-Computer Interaction and Pathology and Forensic Medicine, having authored 14 papers that have together received 342 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (7 papers), Ion channel regulation and function (2 papers), Congenital heart defects research (2 papers), Cancer Mechanisms and Therapy (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Online and Blended Learning (1 paper), Artificial Intelligence in Games (1 paper) and Interactive and Immersive Displays (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (251 citations), Endocrine and Autonomic Systems (24 citations), Genetics (65 citations), Molecular Biology (131 citations) and Pediatrics, Perinatology and Child Health (29 citations). Giulia Gelmini has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Luca Persani, Giovanna Weber, Marco Bonomi, Tiziana de Filippis, Domenico Libri, Davide Calebiro, Daniela Cordella, Maria Cristina Vigone, Federica Marelli and Marianna Di Frenna. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Molecular Oncology, Clinical Endocrinology, Human Molecular Genetics and Neuroendocrinology.

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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