Greet Roef

1.4k citations
18 papers · 737 · h-index 11

Impact in

Papers in

Greet Roef

17 papers receiving 719 citations

Peers

Greet Roef
Comparison fields: 5 of 72
  • Endocrinology, Diabetes and Metabolism 353
  • Social Psychology 189
  • Reproductive Medicine 44
  • Orthopedics and Sports Medicine 41
  • Endocrine and Autonomic Systems 19
Replace Sara Vandewalle with:
Sara Vandewalle Belgium
Giulia Gava Italy
Svetlana Vujović Serbia
Victoria C. Musey United States
Ilaria Mancini Italy
Krasean Panyakhamlerd Thailand
Tayane Muniz Fighera Brazil
Stefania Alvisi Italy
Dan McConnell United States
Pauliina Utriainen Finland
Greet Roef relative to Sara Vandewalle Belgium Sara Vandewalle's profile →
Citations per field
00.5×3.2×
Sara Vandewalle · 1×
Citations per year

Countries citing papers authored by Greet Roef

Since Specialization
Citations

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

Fields of papers citing papers by Greet Roef

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2012261
2 2013135
3 201293
4 201356
5 201137
6 201333
7 201128
8 201324
9 201318
10 201417
11 201310
12 20129
13 20117
14
Long-term evaluation of cross-sex hormone treatment in transsexual persons
20126
15
Bone mass in young men is inversely associated with free triiodothyronine, but not with polymorphisms in deiodinases
20111
16
Sex steroid status in relation to birth weight and body composition in young healthy men
20101
17 20201
18 20110

About Greet Roef

Greet Roef is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Social Psychology and Pediatrics, Perinatology and Child Health, having authored 18 papers that have together received 737 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (7 papers), Hormonal and reproductive studies (2 papers), Genetics and Physical Performance (2 papers), LGBTQ Health, Identity, and Policy (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Muscle metabolism and nutrition (1 paper), Digestive system and related health (1 paper) and Muscle Physiology and Disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (353 citations), Social Psychology (189 citations), Reproductive Medicine (44 citations), Orthopedics and Sports Medicine (41 citations) and Endocrine and Autonomic Systems (19 citations). Greet Roef has collaborated with scholars based in Belgium, Denmark and France. Frequent co-authors include Youri Taes, Jean‐Marc Kaufman, Eva Van Caenegem, Gunter Heylens, Steven Weyers, Katrien Wierckx, Guy T’Sjoen, Sven C. Mueller, Marc De Buyzere and Ernst Rietzschel. Their work appears in journals such as European Journal of Endocrinology, Molecular Genetics and Metabolism, Thyroid, Clinica Chimica Acta and Bone.

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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