Edwin de Jong

957 citations
27 papers · 706 · h-index 11

Impact in

  • Biomaterials top 10%
    • Nanoparticle-Based Drug Delivery
    • Bioinformatics and Genomic Networks
    • Gene expression and cancer classification
    • Machine Learning in Bioinformatics
    • Gene Regulatory Network Analysis

Papers in

Edwin de Jong

24 papers receiving 691 citations

Peers

Edwin de Jong
Comparison fields: 5 of 119
  • Biomaterials 92
  • Molecular Biology 377
  • Genetics 108
  • Neurology 26
  • Oceanography 39
Replace Cholpon S. Djuzenova with:
Cholpon S. Djuzenova Germany
Xiangshan Zhao United States
Oksana Sirenko United States
Johannes Virtanen Finland
Chunying Wu United States
Ian K. Townley United States
Yiting Jin China
Audrey L. Stokes United States
Eugenia Floyd United States
Moshe C. Silverstein United States
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Citations per field
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Cholpon S. Djuzenova · 1×
Citations per year

Countries citing papers authored by Edwin de Jong

Since Specialization
Citations

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

Fields of papers citing papers by Edwin de Jong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006371
2 201048
3 201445
4 202143
5 199940
6 201837
7 201129
8 201616
9 199813
10 202312
11 201011
12 19808
13 20028
14 20005
15 20104
16
Context-Based Policy Search: Transfer of Experience Across Problems
20023
17 20233
18 20123
19 20241
20
Semantical aspects of an architecture for distributed embedded systems
20001

About Edwin de Jong

Edwin de Jong is a scholar working on Computer Networks and Communications, Molecular Biology, Artificial Intelligence, Hardware and Architecture and Biomaterials, having authored 27 papers that have together received 706 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (4 papers), Advanced Software Engineering Methodologies (3 papers), Formal Methods in Verification (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Real-Time Systems Scheduling (3 papers), Distributed and Parallel Computing Systems (3 papers), RNA Interference and Gene Delivery (2 papers) and Service-Oriented Architecture and Web Services (2 papers). The work is most often cited by research in Biomaterials (92 citations), Molecular Biology (377 citations), Genetics (108 citations), Neurology (26 citations) and Oceanography (39 citations). Edwin de Jong has collaborated with scholars based in Netherlands, United States and Indonesia. Frequent co-authors include Lude Franke, Cisca Wijmenga, M. Egmont‐Petersen, Harm van Bakel, Like Fokkens, Inge S. Zuhorn, Klaas Poelstra, Jai Prakash, Jan C. M. van Hest and H. J. W. de Baar. Their work appears in journals such as Journal of Controlled Release, Scientific Reports, Polymer Chemistry, PLoS ONE and Membranes.

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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