Dirk Daelemans

168 papers receiving 5.9k citations

Dirk Daelemans's Hit Papers

Automatic and Quantitative Measurement of Protein-Protein Colocalization in Live Cells 2004 · 1.1k citations
1.1k0+7+14Years since publication2505007501000

Peers

Dirk Daelemans
Comparison fields: 5 of 141
  • Virology 1.3k
  • Infectious Diseases 1.6k
  • Sensory Systems 196
  • Organic Chemistry 1.1k
  • Molecular Biology 2.6k
Replace Marc Ferrer with:
Marc Ferrer United States
Hardy Chan United States
Heinrich Sticht Germany
Michael G. Roth United States
David Eramian United States
Licia Tomei United States
Stephen Lockett United States
Zeger Debyser Belgium
Irving S. Sigal United States
J. Marie Hardwick United States
Dirk Daelemans relative to Marc Ferrer United States Marc Ferrer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dirk Daelemans

Since Specialization
Citations

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

Fields of papers citing papers by Dirk Daelemans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 175 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Automatic and Quantitative Measurement of Protein-Protein Colocalization in Live Cells
Hit paper breakdown →
20041150
2 2008333
3 2007272
4 2021142
5 2021141
6 2009126
7 2016122
8 2014118
9 2011115
10 2015110
11 2002106
12 200695
13 201785
14 201885
15 201882
16 202279
17 201378
18 201972
19 200070
20 201367

About Dirk Daelemans

Dirk Daelemans is a scholar working on Infectious Diseases, Virology, Molecular Biology, Organic Chemistry and Epidemiology, having authored 175 papers that have together received 6.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (70 papers), HIV/AIDS drug development and treatment (67 papers), Pneumocystis jirovecii pneumonia detection and treatment (25 papers), Synthesis and biological activity (19 papers), Click Chemistry and Applications (17 papers), Nuclear Structure and Function (16 papers), RNA Research and Splicing (13 papers) and Cytomegalovirus and herpesvirus research (11 papers). The work is most often cited by research in Virology (1.3k citations), Infectious Diseases (1.6k citations), Sensory Systems (196 citations), Organic Chemistry (1.1k citations) and Molecular Biology (2.6k citations). Dirk Daelemans has collaborated with scholars based in Belgium, United States and China. Frequent co-authors include Christophe Pannecouque, Erik De Clercq, George N. Pavlakis, Sylvain V. Costes, Stephen Lockett, Edward H. Cho, Zachary C. Dobbin, Els Vanstreels, Thomas Vercruysse and Peng Zhan. Their work appears in journals such as European Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, Antiviral Research, Journal of Medicinal Chemistry and Molecules.

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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