H. van Someren

700 citations
20 papers · 546 · h-index 9

Impact in

    • T-cell and B-cell Immunology
  • Genetics top 10%
    • Animal Genetics and Reproduction
    • Virus-based gene therapy research

Papers in

    • Biochemical and Molecular Research 5
    • CRISPR and Genetic Engineering 2
    • Virus-based gene therapy research 4
    • Animal Genetics and Reproduction 2

H. van Someren

15 papers receiving 484 citations

Peers

H. van Someren
Comparison fields: 5 of 78
  • Immunology 129
  • Genetics 170
  • Molecular Biology 298
  • Hematology 38
  • Genetics 34
Replace P. K�hnl with:
P. K�hnl Germany
D C Shreffler United States
AJ Lusis United States
Jie Man Netherlands
C Mouriquand France
William P. Schrader United States
An-Chuan Wang United States
Walter L. Henley United States
Lloyd Berger Canada
N. Aoki Japan
H. van Someren relative to P. K�hnl Germany P. K�hnl's profile →
Citations per field
00.5×1.5×2.1×
P. K�hnl · 1×
Citations per year

Countries citing papers authored by H. van Someren

Since Specialization
Citations

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

Fields of papers citing papers by H. van Someren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. van Someren. 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 H. van Someren. The network helps show where H. van Someren may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1974134
2 1974109
3 197396
4 200345
5 197640
6 197239
7 197322
8 197321
9 197213
10 19746
11
Mammalian cell culture studies
19736
12 19725
13 19744
14 20083
15 20081
16 20081
17
Phosphorylation of synaptic membrane constituents: Target of modulation by behaviourally active neuropeptides
19821
18 20080
19 20080
20 20080

About H. van Someren

H. van Someren is a scholar working on Molecular Biology, Genetics, Surgery, Physiology and Epidemiology, having authored 20 papers that have together received 546 indexed citations. Recurring topics across this work include Biochemical and Molecular Research (5 papers), Pancreatic function and diabetes (4 papers), Virus-based gene therapy research (4 papers), Chromosomal and Genetic Variations (3 papers), Lysosomal Storage Disorders Research (3 papers), CRISPR and Genetic Engineering (2 papers), Trypanosoma species research and implications (2 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Immunology (129 citations), Genetics (170 citations), Molecular Biology (298 citations), Hematology (38 citations) and Genetics (34 citations). H. van Someren has collaborated with scholars based in Netherlands, Poland and Germany. Frequent co-authors include A. Westerveld, A. Hagemeijer, P. Meera Khan, A.P.M. Jongsma, P. Meera Khan, P. Pearson, D. Bootsma, O.B. Zaalberg, Cisca Wijmenga and Timon W. van Haeften. Their work appears in journals such as Human Genetics, Proceedings of the National Academy of Sciences, Journal of Virology, Nature and The Journal of Clinical Endocrinology & Metabolism.

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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