W.L. van Noort

30 papers receiving 614 citations

Peers

W.L. van Noort
Comparison fields: 5 of 72
  • Hematology 112
  • Genetics 70
  • Molecular Biology 364
  • Nutrition and Dietetics 74
  • Endocrinology, Diabetes and Metabolism 77
Replace C. Van Der Heul with:
C. Van Der Heul Netherlands
Jean Bowen United States
Sylvie Shen Australia
James D. Calore United States
William A. Skoog United States
Chantal Degraef Belgium
Shinichi Murao Japan
Katrin Eckhardt Switzerland
E. Rogier France
Michael Silverberg United States
W.L. van Noort relative to C. Van Der Heul Netherlands C. Van Der Heul's profile →
Citations per field
00.5×3.1×
C. Van Der Heul · 1×
Citations per year

Countries citing papers authored by W.L. van Noort

Since Specialization
Citations

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

Fields of papers citing papers by W.L. van Noort

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199892
2 198264
3 198362
4 198753
5 199252
6 197651
7 198232
8 200125
9 198120
10 199519
11 199717
12 199417
13 200916
14 197816
15 197214
16 199511
17 199710
18 198610
19 19948
20 19768

About W.L. van Noort

W.L. van Noort is a scholar working on Molecular Biology, Hematology, Genetics, Physiology and Nutrition and Dietetics, having authored 30 papers that have together received 655 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Iron Metabolism and Disorders (7 papers), Hemoglobinopathies and Related Disorders (6 papers), Erythrocyte Function and Pathophysiology (5 papers), Trace Elements in Health (3 papers), Protein purification and stability (3 papers), Pancreatic function and diabetes (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Hematology (112 citations), Genetics (70 citations), Molecular Biology (364 citations), Nutrition and Dietetics (74 citations) and Endocrinology, Diabetes and Metabolism (77 citations). W.L. van Noort has collaborated with scholars based in Netherlands and Belgium. Frequent co-authors include H.G. van Eijk, C. Van Der Heul, G. de Jong, M.J. Kroos, Marie‐Louise Dubelaar, Richard A. Feelders, L.M. Scheek, Pieter H.E. Groot, Louis M. Havekes and J.F. Koster. Their work appears in journals such as Clinica Chimica Acta, Clinical Chemistry and Laboratory Medicine (CCLM), Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology, BioMetals and Placenta.

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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