Greet Vanhoof

54 papers receiving 1.7k citations

Peers

Greet Vanhoof
Comparison fields: 5 of 105
  • Oncology 841
  • Cellular and Molecular Neuroscience 520
  • Physiology 71
  • Molecular Biology 964
  • Hematology 134
Replace Rumin Zhang with:
Rumin Zhang China
Christian A. Hassig United States
Ingrid W. Caras United States
Xiang-Jiao Yang Canada
Marcos E. Milla United States
Francis Vilbois Switzerland
John P. Burnier United States
Luc G. Berthiaume Canada
Michael Rehman Italy
B. Wittig Germany
Greet Vanhoof relative to Rumin Zhang China Rumin Zhang's profile →
Citations per field
00.5×2.5×
Rumin Zhang · 1×
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 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995386
2 201894
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 201544
11 199542
12 199440
13
A sensitive method for the assay of serum prolyl endopeptidase.
199239
14 201439
15 201135
16 201434
17 201431
18 199229
19 199125
20 199125

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 54 papers that have together received 1.8k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (22 papers), Neuropeptides and Animal Physiology (19 papers), Phosphodiesterase function and regulation (18 papers), Cholinesterase and Neurodegenerative Diseases (12 papers), Diabetes Treatment and Management (10 papers), Receptor Mechanisms and Signaling (9 papers), Signaling Pathways in Disease (6 papers) and Adenosine and Purinergic Signaling (3 papers). The work is most often cited by research in Oncology (841 citations), Cellular and Molecular Neuroscience (520 citations), Physiology (71 citations), Molecular Biology (964 citations) and Hematology (134 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, Anne‐Marie Lambeir and Guido Vanham. Their work appears in journals such as Journal of Medicinal Chemistry, Biochemical Society Transactions, ACS Medicinal Chemistry Letters, Clinical Chemistry and Laboratory Medicine (CCLM) and Journal of Pharmacology and Experimental Therapeutics.

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.

Explore authors with similar magnitude of impact