V. Toppet

20 papers receiving 629 citations

Peers

V. Toppet
Comparison fields: 5 of 82
  • Endocrinology, Diabetes and Metabolism 331
  • Obstetrics and Gynecology 85
  • Pediatrics, Perinatology and Child Health 211
  • Endocrine and Autonomic Systems 56
  • Emergency Medicine 62
Replace Sandy Shen with:
Sandy Shen Canada
Sanjeev Deshpande United Kingdom
P. J. Steer United Kingdom
Jun Mishina Japan
Tamerou Asrat United States
Richard A. Molteni United States
J Quero Spain
Vivianne E.H.J. Smits‐Wintjens Netherlands
N. R. C. Roberton United Kingdom
Alexander J. Schaffer United States
V. Toppet relative to Sandy Shen Canada Sandy Shen's profile →
Citations per field
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Sandy Shen · 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 1991112
3 200760
4 200651
5 199046
6 199146
7 201224
8 199024
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 20205
17 19925
18 19883
19 20022
20
The syndrome of bronchial atresia or stenosis with mucocele and focal hyperinflation of the lung.
19971

About V. Toppet

V. Toppet is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health, Endocrinology, Diabetes and Metabolism 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), Tuberculosis Research and Epidemiology (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Neonatal Respiratory Health Research (3 papers), Pleural and Pulmonary Diseases (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Neonatal and fetal brain pathology (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (331 citations), Obstetrics and Gynecology (85 citations), Pediatrics, Perinatology and Child Health (211 citations), Endocrine and Autonomic Systems (56 citations) and Emergency Medicine (62 citations). V. Toppet has collaborated with scholars based in Belgium, United States and Romania. Frequent co-authors include M. Spehl, François Delange, Jean‐Pierre Chanoine, Raphaël Lagasse, Marc Lemone, P. De Nayer, Bernard Lejeune, Daniel Glinoer, J. Kinthaert and Jack Lévy. Their work appears in journals such as European Journal of Pediatrics, Obstetrics and Gynecology, Frontiers in Pediatrics, BJOG An International Journal of Obstetrics & Gynaecology 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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