Hendrik G. van Eijk

127 papers receiving 3.4k citations

Peers

Hendrik G. van Eijk
Comparison fields: 5 of 144
  • Hematology 1.1k
  • Genetics 629
  • Nutrition and Dietetics 718
  • Molecular Biology 1.2k
  • Pathology and Forensic Medicine 287
Replace Marian A. Packham with:
Marian A. Packham Canada
Kwok‐Wai Lam United States
Marshall A. Lichtman United States
Abraham M. Konijn Israel
Craig S. Rosenfeld United States
John L. Gollan United States
Heinrich Wieland Germany
Stefania Recalcati Italy
Antonius J.G. Swaak Netherlands
Ursula Rauen Germany
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Citations per field
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Marian A. Packham · 1×
Citations per year

Countries citing papers authored by Hendrik G. van Eijk

Since Specialization
Citations

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

Fields of papers citing papers by Hendrik G. van Eijk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hendrik G. van Eijk. 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 Hendrik G. van Eijk. The network helps show where Hendrik G. van Eijk may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984352
2 1990320
3 1984233
4 1989136
5 1988121
6 1992109
7 1990107
8 1988101
9 199271
10 198368
11 198564
12 197857
13 198757
14 197755
15 198755
16 197254
17 199254
18 198753
19 197650
20 199047

About Hendrik G. van Eijk

Hendrik G. van Eijk is a scholar working on Hematology, Genetics, Nutrition and Dietetics, Physiology and Molecular Biology, having authored 130 papers that have together received 3.7k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (49 papers), Hemoglobinopathies and Related Disorders (32 papers), Erythrocyte Function and Pathophysiology (22 papers), Trace Elements in Health (19 papers), Glycosylation and Glycoproteins Research (16 papers), Blood properties and coagulation (9 papers), Hemoglobin structure and function (9 papers) and Protein purification and stability (8 papers). The work is most often cited by research in Hematology (1.1k citations), Genetics (629 citations), Nutrition and Dietetics (718 citations), Molecular Biology (1.2k citations) and Pathology and Forensic Medicine (287 citations). Hendrik G. van Eijk has collaborated with scholars based in Netherlands, Belgium and United Kingdom. Frequent co-authors include J.F. Koster, Antonius J.G. Swaak, J.P. van Dijk, C. Van Der Heul, W.L. van Noort, Gerard Vreugdenhil, Martin J. Kroos, Gerard de Jong, Pieter Biemond and G. de Jong. Their work appears in journals such as Clinica Chimica Acta, Clinical Chemistry and Laboratory Medicine (CCLM), Acta Haematologica, Biological Trace Element Research and European Journal of Obstetrics & Gynecology and Reproductive Biology.

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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