Yannick Manigart

20 papers receiving 275 citations

Peers

Yannick Manigart
Comparison fields: 5 of 38
  • Epidemiology 166
  • Reproductive Medicine 31
  • Microbiology 21
  • Obstetrics and Gynecology 22
  • Infectious Diseases 47
Replace Helena de Carvalho Gomes with:
Helena de Carvalho Gomes Sweden
Birgitte Baldur‐Felskov Denmark
Lisa Rambout Canada
Michelle Garcia Discacciati Brazil
Admire Chikandiwa South Africa
Janet Jonte United States
Heather Pedersen Canada
Ellen A. B. Morrison United States
Manuela Viviano Switzerland
Olayinka Olaniyan Nigeria
Yannick Manigart relative to Helena de Carvalho Gomes Sweden Helena de Carvalho Gomes's profile →
Citations per field
00.5×3.9×
Helena de Carvalho Gomes · 1×
Citations per year

Countries citing papers authored by Yannick Manigart

Since Specialization
Citations

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

Fields of papers citing papers by Yannick Manigart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201361
2 200949
3 200433
4 200631
5 201324
6 200623
7 201515
8 201710
9 20197
10 20196
11 20176
12 20175
13 20215
14 20123
15 20092
16 20212
17 20222
18 20091
19 20251
20 20221

About Yannick Manigart

Yannick Manigart is a scholar working on Epidemiology, Infectious Diseases, Obstetrics and Gynecology, Oncology and Microbiology, having authored 20 papers that have together received 287 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (9 papers), HIV/AIDS Research and Interventions (2 papers), Endometriosis Research and Treatment (1 paper), Viral-associated cancers and disorders (1 paper), Gynecological conditions and treatments (1 paper), Reproductive tract infections research (1 paper), Maternal and Perinatal Health Interventions (1 paper) and Uterine Myomas and Treatments (1 paper). The work is most often cited by research in Epidemiology (166 citations), Reproductive Medicine (31 citations), Microbiology (21 citations), Obstetrics and Gynecology (22 citations) and Infectious Diseases (47 citations). Yannick Manigart has collaborated with scholars based in Belgium and United Kingdom. Frequent co-authors include Serge Rozenberg, Christine Gilles, Patricia Barlow, Déborah Konopnicki, Denis Larsimont, Nathan Clumeck, Stéphane De Wit, Annick Delvigne, Francesco Feoli and Marc Delforge. Their work appears in journals such as Human Reproduction, Archives of Gynecology and Obstetrics, Maturitas, Gynecologic Oncology and Journal of the International AIDS Society.

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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