Ger van den Engh

6.0k citations
98 papers · 4.5k indexed · h-index 37
Topics
Genomic variations and chromosomal abnormalities (23 papers)Genomics and Chromatin Dynamics (14 papers)Chromosomal and Genetic Variations (14 papers)

In The Last Decade

Ger van den Engh

97 papers receiving 4.4k citations

Peers

Ger van den Engh
Comparison fields: 5 of 155
  • Molecular Biology 2.8k
  • Genetics 1.2k
  • Plant Science 939
  • Biomedical Engineering 698
  • Oncology 335
Replace K. T. Tokuyasu with:
K. T. Tokuyasu United States
Anton K. Raap Netherlands
Toshihiko Ogura Japan
Alfonso Martínez Arias United Kingdom
R. E. Stephens United States
Gregg G. Gundersen United States
Rui Chen United States
Jürgen Bereiter‐Hahn Germany
Frank Buchholz Germany
John M. Lucocq United Kingdom
Ger van den Engh relative to K. T. Tokuyasu United States K. T. Tokuyasu's profile →
Citations per field
00.5×1.5×2.4×
K. T. Tokuyasu · 1×
Citations per year

Countries citing papers authored by Ger van den Engh

Since Specialization
Citations

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

Fields of papers citing papers by Ger van den Engh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ger van den Engh. 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 Ger van den Engh. The network helps show where Ger van den Engh may publish in the future.

Co-authorship network of co-authors of Ger van den Engh

This figure shows the co-authorship network connecting the top 25 collaborators of Ger van den Engh. A scholar is included among the top collaborators of Ger van den Engh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ger van den Engh. Ger van den Engh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 13
3 20
4 10
5 20
6 23
7 9
8 19
9 29
10 29
11 15
12 23
13 167
14 13
15 234
16 22
17 4
18 24
19 85
20 52

About Ger van den Engh

Ger van den Engh is a scholar working on Biophysics, Genetics and Molecular Biology, having authored 98 papers that have together received 4.5k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (23 papers), Genomics and Chromatin Dynamics (14 papers) and Chromosomal and Genetic Variations (14 papers). The work is most often cited by research in Genetics (1.2k citations), Molecular Biology (2.8k citations) and Sensory Systems (190 citations). Ger van den Engh has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Barbara J. Trask, Sherrif F. Ibrahim, Charles L. Asbury, Hiroki Yokota, Joe W. Gray, B. J. Trask, John E. Hearst, Dan Pinkel, Herman van Dekken and Rainer K. Sachs. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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