Gerben Duns

1.8k citations
22 papers · 664 · h-index 10

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Renal and related cancers
    • Cancer-related gene regulation

Papers in

Gerben Duns

20 papers receiving 651 citations

Peers

Gerben Duns
Comparison fields: 5 of 81
  • Cancer Research 220
  • Molecular Biology 437
  • Pulmonary and Respiratory Medicine 142
  • Pathology and Forensic Medicine 67
  • Genetics 33
Replace Caterina Mancarella with:
Caterina Mancarella Italy
Shamini Selvarajah Canada
Michaela A. Ihle Germany
Nolan Priedigkeit United States
You‐Wen Qian United States
Karthik Sekar Singapore
Angela Tam United States
Shuet Theng Lee Singapore
Takeshi Niinuma Japan
Nora Sánchez United States
Gerben Duns relative to Caterina Mancarella Italy Caterina Mancarella's profile →
Citations per field
00.5×1.5×2.1×
Caterina Mancarella · 1×
Citations per year

Countries citing papers authored by Gerben Duns

Since Specialization
Citations

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

Fields of papers citing papers by Gerben Duns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010198
2 2016119
3 2009103
4 201263
5 201851
6 201734
7 201226
8 202022
9 202212
10 202311
11 20248
12 20194
13 20243
14 20242
15 20182
16 20232
17 20221
18 20191
19 20091
20 20221

About Gerben Duns

Gerben Duns is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Genetics, Cancer Research and Oncology, having authored 22 papers that have together received 664 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (7 papers), Chronic Lymphocytic Leukemia Research (5 papers), Renal cell carcinoma treatment (3 papers), Renal and related cancers (3 papers), Viral-associated cancers and disorders (3 papers), MicroRNA in disease regulation (3 papers), RNA modifications and cancer (3 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Cancer Research (220 citations), Molecular Biology (437 citations), Pulmonary and Respiratory Medicine (142 citations), Pathology and Forensic Medicine (67 citations) and Genetics (33 citations). Gerben Duns has collaborated with scholars based in Canada, Netherlands and United States. Frequent co-authors include Klaas Kok, Robert M.W. Hofstra, Anke van den Berg, Jan Osinga, Harry Hollema, Jun Li, Helga Westers, Rolf H. Sijmons, Sibrand Poppema and Bart‐Jan Kroesen. Their work appears in journals such as Blood, Blood Advances, Human Molecular Genetics, Experimental Hematology and Oncotarget.

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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