Frank De Smet

2.9k citations
46 papers · 1.9k indexed · h-index 21
Topics
Gene expression and cancer classification (12 papers)Bioinformatics and Genomic Networks (8 papers)Animal Virus Infections Studies (5 papers)

In The Last Decade

Frank De Smet

45 papers receiving 1.9k citations

Peers

Frank De Smet
Comparison fields: 5 of 143
  • Molecular Biology 628
  • Oncology 353
  • Obstetrics and Gynecology 317
  • Epidemiology 307
  • Reproductive Medicine 290
Replace Lan‐Yan Yang with:
Lan‐Yan Yang Taiwan
Leopold G. Koss United States
Hongyan Hou China
Abraham Pouliakis Greece
Martha L. Hutchinson United States
Sharon Amit Israel
R. D. Barnes United Kingdom
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Alex Rosenthal United States
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Frank De Smet relative to Lan‐Yan Yang Taiwan Lan‐Yan Yang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Frank De Smet

Since Specialization
Citations

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

Fields of papers citing papers by Frank De Smet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank De Smet

This figure shows the co-authorship network connecting the top 25 collaborators of Frank De Smet. A scholar is included among the top collaborators of Frank De Smet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frank De Smet. Frank De Smet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 8
3 2
4 20
5 34
6 11
7 31
8 9
9 31
10 129
11 25
12 0
13 11
14 1
15 44
16 38
17
The influence of body composition and hormone replacement therapy (HRT) on progesterone receptor (PR) expression in postmenopausal women with an oestrogen receptor (ER)-positive breast cancer
3
18 13
19
Challenges in data-based patient modeling for glycemia control in ICU-patients
1
20 9

About Frank De Smet

Frank De Smet is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Animal Science and Zoology, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Gene expression and cancer classification (12 papers), Bioinformatics and Genomic Networks (8 papers) and Animal Virus Infections Studies (5 papers). The work is most often cited by research in Obstetrics and Gynecology (317 citations), Reproductive Medicine (290 citations) and Oncology (353 citations). Frank De Smet has collaborated with scholars based in Belgium, United States and Australia. Frequent co-authors include Bart De Moor, Yves Moreau, D. Timmerman, Olivier Gevaert, Nathalie Pochet, Bart De Moor, Johan A. K. Suykens, Kathleen Marchal, Bart L. R. De Moor and Ignace Vergote. Their work appears in journals such as Journal of Clinical Oncology, Bioinformatics 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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