David Satijn

3.7k citations
36 papers · 3.1k · h-index 24

Impact in

    • Epigenetics and DNA Methylation
    • Cancer-related gene regulation
    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer
    • RNA Research and Splicing
  • Oncology top 5%
    • HER2/EGFR in Cancer Research

Papers in

David Satijn

34 papers receiving 3.0k citations

Peers

David Satijn
Comparison fields: 5 of 102
  • Molecular Biology 2.2k
  • Oncology 616
  • Immunology 314
  • Radiology, Nuclear Medicine and Imaging 296
  • Genetics 381
Replace Jackie Papkoff with:
Jackie Papkoff United States
Donna L. Livant United States
Karla A. Henning United States
Haihui Lu United States
Frank Hong United States
N.C. Popescu United States
Hua Tang Chen United States
A MacAuley United States
Nicole S. Verkaik Netherlands
Olivier Nolan-Stevaux United States
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Citations per field
00.5×3.9×
Jackie Papkoff · 1×
Citations per year

Countries citing papers authored by David Satijn

Since Specialization
Citations

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

Fields of papers citing papers by David Satijn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998242
2 2001227
3 1998201
4 2013178
5 1999172
6 2018169
7 1997168
8 2001151
9 1997146
10 2008140
11 2000139
12 1997136
13 2016111
14 1999110
15 1999107
16 1997103
17 2003102
18 200084
19 201582
20 200162

About David Satijn

David Satijn is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Immunology and Immunology and Allergy, having authored 36 papers that have together received 3.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (16 papers), Cancer-related gene regulation (14 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), RNA modifications and cancer (8 papers), HER2/EGFR in Cancer Research (7 papers), Cell Adhesion Molecules Research (5 papers), Genomics and Chromatin Dynamics (3 papers) and Phagocytosis and Immune Regulation (3 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Oncology (616 citations), Immunology (314 citations), Radiology, Nuclear Medicine and Imaging (296 citations) and Genetics (381 citations). David Satijn has collaborated with scholars based in Netherlands, United States and Denmark. Frequent co-authors include Arie P. Otte, Karien M. Hamer, Marco J. Gunster, Johan van der Vlag, Richard G. A. B. Sewalt, Elly Fieret, Frank M. Raaphorst, Roel van Driel, Chris J.L.M. Meijer and Folkert J. van Kemenade. Their work appears in journals such as Molecular and Cellular Biology, Blood, The Journal of Immunology, Cancer Research and Molecular Cancer Therapeutics.

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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