Verónica White

2.8k citations
74 papers · 1.4k · h-index 24

Impact in

Papers in

Verónica White

66 papers receiving 1.3k citations

Peers

Verónica White
Comparison fields: 5 of 104
  • Obstetrics and Gynecology 616
  • Pediatrics, Perinatology and Child Health 558
  • Endocrine and Autonomic Systems 56
  • Endocrinology, Diabetes and Metabolism 123
  • Infectious Diseases 130
Replace Lesia O. Kurlak with:
Lesia O. Kurlak United Kingdom
Ying Hua China
Jacob E. Friedman United States
R. Margara United Kingdom
Prem Shekhawat United States
Florian Guthmann Germany
Jingai Zhu China
Mercedes García-Bermúdez Spain
Michel Tsimaratos France
I. P. Gray United Kingdom
Verónica White relative to Lesia O. Kurlak United Kingdom Lesia O. Kurlak's profile →
Citations per field
00.5×8.1×
Lesia O. Kurlak · 1×
Citations per year

Countries citing papers authored by Verónica White

Since Specialization
Citations

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

Fields of papers citing papers by Verónica White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010132
2 200074
3 201367
4 200557
5 200650
6 201739
7 200337
8 201136
9 200036
10 201935
11 200434
12 201832
13 201031
14 200530
15 201730
16 200830
17 200529
18 201428
19 200628
20 200227

About Verónica White

Verónica White is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Molecular Biology, Infectious Diseases and Physiology, having authored 74 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (30 papers), Birth, Development, and Health (22 papers), Pregnancy and preeclampsia studies (22 papers), Tuberculosis Research and Epidemiology (17 papers), Peroxisome Proliferator-Activated Receptors (15 papers), Infectious Diseases and Tuberculosis (9 papers), Adipose Tissue and Metabolism (7 papers) and Nitric Oxide and Endothelin Effects (5 papers). The work is most often cited by research in Obstetrics and Gynecology (616 citations), Pediatrics, Perinatology and Child Health (558 citations), Endocrine and Autonomic Systems (56 citations), Endocrinology, Diabetes and Metabolism (123 citations) and Infectious Diseases (130 citations). Verónica White has collaborated with scholars based in Argentina, United Kingdom and United States. Frequent co-authors include Alicia Jawerbaum, Evangelina Capobianco, Romina Higa, Nora Martínez, María Carolina Pustovrh, Élida González, Melisa Kurtz, Ezequiel González, Débora Sinner and María Belén Mazzucco. Their work appears in journals such as Thorax, Reproduction Fertility and Development, Molecular and Cellular Endocrinology, Molecular Human Reproduction and Placenta.

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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