M.P.A. Geurds

428 citations
10 papers · 340 · h-index 8

Impact in

Papers in

    • Kruppel-like factors research 2
    • Cancer-related gene regulation 2
    • Ubiquitin and proteasome pathways 1
    • Viral Infectious Diseases and Gene Expression in Insects 1

M.P.A. Geurds

10 papers receiving 336 citations

Peers

M.P.A. Geurds
Comparison fields: 5 of 47
  • Rheumatology 155
  • Pediatrics, Perinatology and Child Health 93
  • Clinical Biochemistry 22
  • Developmental Biology 6
  • Genetics 70
Replace Manuel Chan with:
Manuel Chan Canada
Shaofang Shangguan China
Émilie Lemieux‐Blanchard Canada
Thomas M.K. Völkl Germany
Intza Garin Spain
Tetsuji Maruyama Japan
Claire Turner United Kingdom
William G. Bernhard United States
Akiou Okumura Japan
Wiedemann Hr
M.P.A. Geurds relative to Manuel Chan Canada Manuel Chan's profile →
Citations per field
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Citations per year

Countries citing papers authored by M.P.A. Geurds

Since Specialization
Citations

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

Fields of papers citing papers by M.P.A. Geurds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.P.A. Geurds. 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 M.P.A. Geurds. The network helps show where M.P.A. Geurds may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 1998128
2 199652
3 199545
4 199231
5 199525
6 199521
7 199916
8 19949
9 19987
10 19956

About M.P.A. Geurds

M.P.A. Geurds is a scholar working on Molecular Biology, Surgery, Rheumatology, Genetics and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 340 indexed citations. Recurring topics across this work include Folate and B Vitamins Research (3 papers), Kruppel-like factors research (2 papers), Cancer-related gene regulation (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Ubiquitin and proteasome pathways (1 paper), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Rheumatology (155 citations), Pediatrics, Perinatology and Child Health (93 citations), Clinical Biochemistry (22 citations), Developmental Biology (6 citations) and Genetics (70 citations). M.P.A. Geurds has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Edwin C.M. Mariman, Frans A. Hol, Ben C.J. Hamel, Sandra G. Heil, Henk J. Blom, Frans J.M. Trijbels, Sansnee Chatkupt, William G. Johnson, Yin Yao Shugart and C. T. R. M. Schrander‐Stumpel. Their work appears in journals such as Journal of Medical Genetics, Human Genetics, Human Molecular Genetics, Clinical Genetics and Molecular and Cellular Biochemistry.

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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