Wouter De Haes

1.2k citations
19 papers · 647 indexed · h-index 13

Impact in

Papers in

Wouter De Haes

19 papers receiving 642 citations

Peers

Wouter De Haes
Comparison fields: 5 of 95
  • Aging 191
  • Endocrine and Autonomic Systems 71
  • Biological Psychiatry 17
  • Insect Science 80
  • Geriatrics and Gerontology 25
Replace Tapiwanashe Magwere with:
Tapiwanashe Magwere United Kingdom
Steven Zuryn Australia
Geert Depuydt Belgium
Jeong Hoon Cho South Korea
Vladimir I. Klichko United States
Adolfo Sánchez-Blanco United States
Svetlana N. Radyuk United States
Heehwa G. Son South Korea
Mihwa Seo South Korea
Anna M. Salazar United States
Wouter De Haes relative to Tapiwanashe Magwere United Kingdom Tapiwanashe Magwere's profile →
Citations per field
00.5×2.8×
Tapiwanashe Magwere · 1×
Citations per year

Countries citing papers authored by Wouter De Haes

Since Specialization
Citations

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

Fields of papers citing papers by Wouter De Haes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wouter De Haes. 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 Wouter De Haes. The network helps show where Wouter De Haes may publish in the future.

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 202012
2 201854
3 201810
4 201826
5 20184
6 201720
7 201644
8 20169
9 201530
10 2014261
11 201427
12 201432
13 201438
14
Metformin promotes lifespan through mitohormesis
20141
15 201413
16
Disrupting GnRH/AKH signaling in C. elegans promotes longevity
20131
17 201221
18 201238
19 20116

About Wouter De Haes

Wouter De Haes is a scholar working on Aging, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Insect Science and Molecular Biology, having authored 19 papers that have together received 647 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (10 papers), Neurobiology and Insect Physiology Research (4 papers), Mitochondrial Function and Pathology (3 papers), Circadian rhythm and melatonin (3 papers), Insect Utilization and Effects (3 papers), Glycosylation and Glycoproteins Research (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Aging (191 citations), Endocrine and Autonomic Systems (71 citations), Biological Psychiatry (17 citations), Insect Science (80 citations) and Geriatrics and Gerontology (25 citations). Wouter De Haes has collaborated with scholars based in Belgium, United States and Germany. Frequent co-authors include Liliane Schoofs, Liesbet Temmerman, Roel Van Assche, Lotte Frooninckx, Johan Billen, Geert Depuydt, Bart P. Braeckman, Kurt Boonen, Tom Janssen and Arnold De Loof. Their work appears in journals such as General and Comparative Endocrinology, Ageing Research Reviews, Scientific Reports, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics and Journal of Proteome Research.

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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