Gerben Schaaf

1.2k citations
26 papers · 886 · h-index 15

Impact in

Papers in

    • Muscle Physiology and Disorders 5
    • Gene expression and cancer classification 3
    • Molecular Biology Techniques and Applications 3
    • Pluripotent Stem Cells Research 2
    • Neurogenetic and Muscular Disorders Research 5

Gerben Schaaf

26 papers receiving 868 citations

Peers

Gerben Schaaf
Comparison fields: 5 of 93
  • Cancer Research 138
  • Molecular Biology 434
  • Aging 11
  • Pathology and Forensic Medicine 75
  • Plant Science 170
Replace Somy Yoon with:
Somy Yoon South Korea
Zhixian Hu United States
Jingxian Yang China
Yuka Itoh Japan
Jun Jiang China
Timothy Hadden United States
Jiřina Procházková Czechia
David K. Bol United States
Gerben Schaaf relative to Somy Yoon South Korea Somy Yoon's profile →
Citations per field
00.5×2.9×
Somy Yoon · 1×
Citations per year

Countries citing papers authored by Gerben Schaaf

Since Specialization
Citations

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

Fields of papers citing papers by Gerben Schaaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerben Schaaf. 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 Gerben Schaaf. The network helps show where Gerben Schaaf may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002186
2 200983
3 201880
4 201664
5 200563
6 200261
7 201055
8 200544
9 202040
10 200131
11 201528
12 201826
13 202219
14 201919
15 199815
16 200214
17 202112
18 202111
19 20198
20 19696

About Gerben Schaaf

Gerben Schaaf is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Physiology and Oncology, having authored 26 papers that have together received 886 indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (5 papers), Muscle Physiology and Disorders (5 papers), Lysosomal Storage Disorders Research (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Gene expression and cancer classification (3 papers), Molecular Biology Techniques and Applications (3 papers), Pluripotent Stem Cells Research (2 papers) and Selenium in Biological Systems (2 papers). The work is most often cited by research in Cancer Research (138 citations), Molecular Biology (434 citations), Aging (11 citations), Pathology and Forensic Medicine (75 citations) and Plant Science (170 citations). Gerben Schaaf has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Johanna Fink‐Gremmels, Els M. de Groene, R.F.M. Maas, Peggy Roestenberg, Sandra M. Nijmeijer, Marcel Kool, W.W.M. Pim Pijnappel, Danny A. Zwijnenburg, Ans T. van der Ploeg and Fred van Ruissen. Their work appears in journals such as Acta Neuropathologica Communications, Biochemical and Biophysical Research Communications, The FASEB Journal, Chemico-Biological Interactions and Genes Chromosomes and Cancer.

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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