W. Dierick

690 citations
77 papers · 584 indexed · h-index 14

Impact in

    • Escherichia coli research studies
  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

W. Dierick

74 papers receiving 549 citations

Peers

W. Dierick
Comparison fields: 5 of 84
  • Endocrinology 43
  • Hepatology 52
  • Endocrinology, Diabetes and Metabolism 108
  • Physiology 27
  • Molecular Biology 294
Replace T D Chrisman with:
T D Chrisman United States
S Shimizu Japan
Alexander Eichholz United States
Marie‐France Ronveaux‐Dupal Belgium
A Haeffner France
Stella Clark Australia
Н. В. Проказова Russia
J Polonovski France
Anik Forest Canada
Vito Scalera Italy
W. Dierick relative to T D Chrisman United States T D Chrisman's profile →
Citations per field
00.5×
T D Chrisman · 1×
Citations per year

Countries citing papers authored by W. Dierick

Since Specialization
Citations

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

Fields of papers citing papers by W. Dierick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196277
2 198427
3 198721
4 197920
5 201519
6 197918
7 197417
8 197916
9 198516
10 197316
11 198516
12 197415
13 199114
14 197513
15 199312
16 198512
17 197912
18 199011
19 199010
20 197610

About W. Dierick

W. Dierick is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Spectroscopy and Pediatrics, Perinatology and Child Health, having authored 77 papers that have together received 584 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (14 papers), Glycosylation and Glycoproteins Research (11 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Diet, Metabolism, and Disease (7 papers), Lysosomal Storage Disorders Research (6 papers), Analytical Chemistry and Chromatography (4 papers), Neonatal Health and Biochemistry (4 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Endocrinology (43 citations), Hepatology (52 citations), Endocrinology, Diabetes and Metabolism (108 citations), Physiology (27 citations) and Molecular Biology (294 citations). W. Dierick has collaborated with scholars based in Belgium, Netherlands and Pakistan. Frequent co-authors include A. Lagrou, H. J. Hilderson, Charles W. Young, Bayard D. Clarkson, Walter Lawrence, Paul G. Kuehn, Erna Dams, C. Ceuterick, J. J. Martin and Jean‐Jacques Martin. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, PDA Journal of Pharmaceutical Science and Technology, Biochemistry and Cell Biology, Biochemical Journal and Biochimica et Biophysica Acta (BBA) - Molecular Cell 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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