Veronica Preda

897 citations
43 papers · 479 indexed · h-index 12

Impact in

    • Pituitary Gland Disorders and Treatments
    • Adrenal Hormones and Disorders
    • Growth Hormone and Insulin-like Growth Factors
    • Acne and Rosacea Treatments and Effects
    • Dermatology and Skin Diseases

Papers in

Veronica Preda

33 papers receiving 465 citations

Peers

Veronica Preda
Comparison fields: 5 of 81
  • Endocrinology, Diabetes and Metabolism 243
  • Dermatology 81
  • Surgery 166
  • Genetics 39
  • Epidemiology 113
Replace Mark A. Chastain with:
Mark A. Chastain United States
Carmine Alfano Italy
Navid Ezra United States
Yoseph Horovitz Israel
Takaaki Hanafusa Japan
Marco Levancini Italy
Pinki Pandey India
Shyue‐Luen Chang Taiwan
Amit Ritter Israel
Soham Mukherjee India
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Citations per field
00.5×11.7×
Mark A. Chastain · 1×
Citations per year

Countries citing papers authored by Veronica Preda

Since Specialization
Citations

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

Fields of papers citing papers by Veronica Preda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012122
2 201067
3 201431
4 200930
5 201425
6 201224
7 202423
8 200819
9 202117
10 202113
11 201812
12 201911
13 202211
14 20219
15 20099
16 20159
17 20227
18 20065
19 20235
20 20225

About Veronica Preda

Veronica Preda is a scholar working on Endocrinology, Diabetes and Metabolism, Health Informatics, Medical Laboratory Technology, Pharmacy and Ophthalmology, having authored 43 papers that have together received 479 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (11 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Obesity and Health Practices (3 papers), Drug-Induced Ocular Toxicity (3 papers), Retinal Diseases and Treatments (3 papers), Adrenal Hormones and Disorders (3 papers), Glioma Diagnosis and Treatment (3 papers) and Neuroendocrine Tumor Research Advances (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (243 citations), Dermatology (81 citations), Surgery (166 citations), Genetics (39 citations) and Epidemiology (113 citations). Veronica Preda has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Ashley Grossman, Niki Karavitaki, Jonathan Sen, Margot Whitfeld, Liang Joo Leow, John Sullivan, Michael Maley, Juliana Chen, Noushin Nasiri and Simon Cudlip. Their work appears in journals such as European Journal of Endocrinology, Australasian Journal of Dermatology, Neuroradiology, World Neurosurgery and Journal of Biotechnology.

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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