Gerard te Meerman

738 citations
15 papers · 295 · h-index 9

Impact in

    • Psoriasis: Treatment and Pathogenesis
    • Genetic Associations and Epidemiology
    • Genomic variations and chromosomal abnormalities

Papers in

    • Genetic Associations and Epidemiology 4
    • Genomic variations and chromosomal abnormalities 2
    • Genomics and Rare Diseases 2
    • Genetic Mapping and Diversity in Plants and Animals 2

Gerard te Meerman

15 papers receiving 289 citations

Peers

Gerard te Meerman
Comparison fields: 5 of 52
  • Immunology 73
  • Genetics 80
  • Surgery 77
  • Pulmonary and Respiratory Medicine 51
  • Oncology 43
Replace KC Moon with:
KC Moon South Korea
Kumi Ubukawa Japan
H J Peter Switzerland
Roman Istomine Canada
Jean‐Claude Kouyoumdjian France
Tatsuo Oguro Japan
Ming Hui Lee Singapore
Jingxiu Xuan China
Karim El Khatib Morocco
Kishore R. Anekalla United States
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Citations per field
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Citations per year

Countries citing papers authored by Gerard te Meerman

Since Specialization
Citations

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

Fields of papers citing papers by Gerard te Meerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerard te Meerman. 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 Gerard te Meerman. The network helps show where Gerard te Meerman may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Chromosomal changes in human primary testicular nonseminomatous germ cell tumors.
198978
2 200736
3 200533
4 200429
5 200527
6 200126
7 200122
8 198915
9 20029
10 20126
11 20145
12 19893
13 20033
14 20052
15 20011

About Gerard te Meerman

Gerard te Meerman is a scholar working on Molecular Biology, Genetics, Immunology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 15 papers that have together received 295 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Reproductive System and Pregnancy (2 papers), Immune Cell Function and Interaction (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Genomics and Rare Diseases (2 papers), Cystic Fibrosis Research Advances (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Immunology (73 citations), Genetics (80 citations), Surgery (77 citations), Pulmonary and Respiratory Medicine (51 citations) and Oncology (43 citations). Gerard te Meerman has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Ilja M. Nolte, Sérgio Castedo, Dam A, Bauke M. de Jong, Raquel Seruca, J. Wolter Oosterhuis, Hs Koops, Elisabeth G.E. de Vries, Lars Beckmann and Christine Fischer. Their work appears in journals such as Genetic Epidemiology, Progress in Neuro-Psychopharmacology and Biological Psychiatry, Journal of Investigative Dermatology, International Journal of Oncology and Genomics.

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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