Flora Veltri

611 citations
23 papers · 440 · h-index 13

Impact in

Papers in

Flora Veltri

21 papers receiving 431 citations

Peers

Flora Veltri
Comparison fields: 5 of 43
  • Endocrinology, Diabetes and Metabolism 347
  • Obstetrics and Gynecology 32
  • Reproductive Medicine 31
  • Endocrine and Autonomic Systems 16
  • Genetics 20
Replace Daniëlle C M van der Kaay with:
Daniëlle C M van der Kaay Netherlands
Süheyla Görar Türkiye
Frédérique Gatelais France
Chiara Guzzetti Italy
Kenji Iwaku Japan
S. C. Cwyfan Hughes United Kingdom
Jaime Kulak Brazil
Du Soon Swee Singapore
Beata Kulik-Rechberger Poland
Oana Ruxandra Cotta Italy
Flora Veltri relative to Daniëlle C M van der Kaay Netherlands Daniëlle C M van der Kaay's profile →
Citations per field
00.5×1.5×2.2×
Daniëlle C M van der Kaay · 1×
Citations per year

Countries citing papers authored by Flora Veltri

Since Specialization
Citations

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

Fields of papers citing papers by Flora Veltri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200892
2 201847
3 201641
4 200838
5 202231
6 201725
7 201624
8 201921
9 202020
10 201820
11 201818
12 202414
13 201914
14 201712
15 20225
16 20235
17 20184
18 20214
19 20242
20 20232

About Flora Veltri

Flora Veltri is a scholar working on Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology, Reproductive Medicine, Pathology and Forensic Medicine and Pediatrics, Perinatology and Child Health, having authored 23 papers that have together received 440 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (16 papers), Pituitary Gland Disorders and Treatments (3 papers), Pregnancy and preeclampsia studies (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Ovarian function and disorders (2 papers), Obstructive Sleep Apnea Research (1 paper), Gestational Diabetes Research and Management (1 paper) and Meningioma and schwannoma management (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (347 citations), Obstetrics and Gynecology (32 citations), Reproductive Medicine (31 citations), Endocrine and Autonomic Systems (16 citations) and Genetics (20 citations). Flora Veltri has collaborated with scholars based in Belgium, Netherlands and Italy. Frequent co-authors include Kris Gustave Poppe, Pierre Kleynen, Serge Rozenberg, Thierry Pepersack, Candice Autin, Antonio Bianchi, Vincenzo Cimino, Laura De Marinis, Alfredo Pontecorvi and Marie Bruyneel. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Thyroid Journal, Thyroid, Sleep And Breathing 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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