Ewart de Bruijn

7.8k citations
35 papers · 4.3k indexed · 2 hit papers · h-index 24
Topics
Cancer Genomics and Diagnostics (11 papers)Genetic factors in colorectal cancer (7 papers)CRISPR and Genetic Engineering (7 papers)

In The Last Decade

Ewart de Bruijn

33 papers receiving 4.3k citations

Hit Papers

MicroRNA Expression in Zebrafish Embryonic Development2005202620122019200520134008001.2k

Peers

Ewart de Bruijn
Comparison fields: 5 of 138
  • Molecular Biology 3.2k
  • Cancer Research 2.4k
  • Genetics 679
  • Cell Biology 338
  • Plant Science 299
Replace Erno Wienholds with:
Erno Wienholds Netherlands
Kenneth A. Ohgi United States
Paola Briata Italy
Scott Baskerville United States
Frank L. Conlon United States
Tatjana Sauka‐Spengler United States
Giovanni Stefani United States
Pascal Maire France
Benjamin P. Lewis United States
Julie C. Baker United States
Ewart de Bruijn relative to Erno Wienholds Netherlands Erno Wienholds's profile →
Citations per field
00.5×1.5×
Erno Wienholds · 1×
Citations per year

Countries citing papers authored by Ewart de Bruijn

Since Specialization
Citations

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

Fields of papers citing papers by Ewart de Bruijn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ewart de Bruijn. 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 Ewart de Bruijn. The network helps show where Ewart de Bruijn may publish in the future.

Co-authorship network of co-authors of Ewart de Bruijn

This figure shows the co-authorship network connecting the top 25 collaborators of Ewart de Bruijn. A scholar is included among the top collaborators of Ewart de Bruijn 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 Ewart de Bruijn. Ewart de Bruijn 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 17
2 39
3 23
4 27
5 5
6 249
7 59
8
A systematic genome-wide analysis of zebrafish protein-coding gene functionbreakdown →
445
9 22
10 119
11 36
12 6
13 225
14 34
15 55
16 8
17 326
18 146
19
MicroRNA Expression in Zebrafish Embryonic Developmentbreakdown →
1284
20 15

About Ewart de Bruijn

Ewart de Bruijn is a scholar working on Cancer Research, Pathology and Forensic Medicine and Molecular Biology, having authored 35 papers that have together received 4.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Genetic factors in colorectal cancer (7 papers) and CRISPR and Genetic Engineering (7 papers). The work is most often cited by research in Cancer Research (2.4k citations), Molecular Biology (3.2k citations) and Aging (49 citations). Ewart de Bruijn has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Wigard P. Kloosterman, Ronald H.A. Plasterk, Erno Wienholds, Sakari Kauppinen, Edwin Cuppen, Eugène Berezikov, H. Robert Horvitz, Ezequiel Alvarez-Saavedra, Eric A. Miska and Isaäc J. Nijman. Their work appears in journals such as Nature, Science and Nucleic Acids Research.

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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