Greet Vanhoof

2.5k citations
57 papers · 1.9k · h-index 24

Impact in

Papers in

    • Phosphodiesterase function and regulation 18
    • Receptor Mechanisms and Signaling 8
    • Signaling Pathways in Disease 6
    • Peptidase Inhibition and Analysis 24

Greet Vanhoof

57 papers receiving 1.8k citations

Peers

Greet Vanhoof
Comparison fields: 5 of 103
  • Oncology 857
  • Cellular and Molecular Neuroscience 519
  • Physiology 74
  • Hematology 158
  • Molecular Biology 954
Replace Christian A. Hassig with:
Christian A. Hassig United States
Rumin Zhang China
John P. Burnier United States
Michael Rehman Italy
Luc G. Berthiaume Canada
Mai Nguyen Canada
Ricardo M. Biondi Germany
William F. Heath United States
Richard J. Freer United States
Susanna Spisani Italy
Greet Vanhoof relative to Christian A. Hassig United States Christian A. Hassig's profile →
Citations per field
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Citations per year

Countries citing papers authored by Greet Vanhoof

Since Specialization
Citations

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

Fields of papers citing papers by Greet Vanhoof

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995387
2 201897
3 199692
4 199688
5 200187
6 199480
7
Decreased expression of the memory marker CD26 on both CD4+ and CD8+ T lymphocytes of HIV-infected subjects.
199378
8 198867
9 199262
10 199246
11 201545
12 199542
13 199440
14 201439
15
A sensitive method for the assay of serum prolyl endopeptidase.
199239
16 201135
17 199634
18 201434
19 201431
20 199229

About Greet Vanhoof

Greet Vanhoof is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (24 papers), Neuropeptides and Animal Physiology (21 papers), Phosphodiesterase function and regulation (18 papers), Cholinesterase and Neurodegenerative Diseases (12 papers), Diabetes Treatment and Management (10 papers), Receptor Mechanisms and Signaling (8 papers), Signaling Pathways in Disease (6 papers) and Adenosine and Purinergic Signaling (3 papers). The work is most often cited by research in Oncology (857 citations), Cellular and Molecular Neuroscience (519 citations), Physiology (74 citations), Hematology (158 citations) and Molecular Biology (954 citations). Greet Vanhoof has collaborated with scholars based in Belgium, United States and Israel. Frequent co-authors include Ingrid De Meester, Simon Scharpé, Filip Goossens, Dirk Hendriks, Simon Scharpé, M. van Sande, Xavier Langlois, Avraham Yaron, Guido Vanham and Anne‐Marie Lambeir. Their work appears in journals such as Journal of Medicinal Chemistry, Biochemical Society Transactions, ACS Medicinal Chemistry Letters, European Journal of Biochemistry and Clinical Chemistry and Laboratory Medicine (CCLM).

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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