V. Toppet

914 citations
21 papers · 668 · h-index 12

Impact in

Papers in

V. Toppet

20 papers receiving 629 citations

Peers

V. Toppet
Comparison fields: 5 of 78
  • Endocrinology, Diabetes and Metabolism 324
  • Obstetrics and Gynecology 68
  • Pediatrics, Perinatology and Child Health 123
  • Emergency Medicine 54
  • Endocrine and Autonomic Systems 28
Replace Arie L. Alkalay with:
Arie L. Alkalay United States
Sanjeev Deshpande United Kingdom
Sandy Shen Canada
Jun Mishina Japan
Jean‐François Magny France
Jennifer L. Trainor United States
John F. Huddleston United States
Hülya Bilgen Türkiye
Vivianne E.H.J. Smits‐Wintjens Netherlands
Steven H. Golde United States
V. Toppet relative to Arie L. Alkalay United States Arie L. Alkalay's profile →
Citations per field
00.5×7.7×
Arie L. Alkalay · 1×
Citations per year

Countries citing papers authored by V. Toppet

Since Specialization
Citations

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

Fields of papers citing papers by V. Toppet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995201
2 1991113
3 200760
4 200651
5 199146
6 199046
7 199024
8 201223
9 199023
10 199015
11 199413
12 200413
13 19989
14
Prediction of cerebral palsy in high-risk neonates: a technetium-99m-HMPAO SPECT study.
19938
15 20076
16 19925
17 20205
18 19883
19 20022
20 19881

About V. Toppet

V. Toppet is a scholar working on Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Infectious Diseases and Surgery, having authored 21 papers that have together received 668 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Neonatal Respiratory Health Research (3 papers), Neonatal and fetal brain pathology (2 papers), Tuberculosis Research and Epidemiology (2 papers), Pleural and Pulmonary Diseases (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (324 citations), Obstetrics and Gynecology (68 citations), Pediatrics, Perinatology and Child Health (123 citations), Emergency Medicine (54 citations) and Endocrine and Autonomic Systems (28 citations). V. Toppet has collaborated with scholars based in Belgium, Romania and United States. Frequent co-authors include M. Spehl, François Delange, Jean‐Pierre Chanoine, Raphaël Lagasse, Daniel Glinoer, J. Kinthaert, Marc Lemone, Bernard Lejeune, P. De Nayer and Jack Lévy. Their work appears in journals such as European Journal of Pediatrics, Obstetrics and Gynecology, Pediatric Research, Pediatric Pulmonology and The Journal of Clinical Endocrinology & Metabolism.

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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