Twan van den Beucken

3.7k citations
45 papers · 2.5k indexed · 1 hit paper · h-index 22

Twan van den Beucken

45 papers receiving 2.5k citations

Hit Papers

The unfolded protein response protects human tumor cells ...20092026201420202009200400600

Peers

Twan van den Beucken
Comparison fields: 5 of 101
  • Molecular Biology 1.6k
  • Cancer Research 940
  • Epidemiology 735
  • Cell Biology 681
  • Oncology 228
Replace Sizhen Gao with:
Sizhen Gao United States
Danièle Roux France
Paloma Bragado Spain
Chang S. Chan United States
Monica Buzzai United States
Young Chan Chae South Korea
Graham C. Fletcher Canada
Gary G. Chiang United States
Fangping Zhao United States
Sandy Giuliano France
Twan van den Beucken relative to Sizhen Gao United States Sizhen Gao's profile →
Citations per field
00.5×1.5×
Sizhen Gao · 1×
Citations per year

Countries citing papers authored by Twan van den Beucken

Since Specialization
Citations

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

Fields of papers citing papers by Twan van den Beucken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Twan van den Beucken. 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 Twan van den Beucken. The network helps show where Twan van den Beucken may publish in the future.

Co-authorship network of co-authors of Twan van den Beucken

This figure shows the co-authorship network connecting the top 25 collaborators of Twan van den Beucken. A scholar is included among the top collaborators of Twan van den Beucken 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 Twan van den Beucken. Twan van den Beucken 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 1
2 6
3 20
4 10
5 4
6 3
7 32
8 2
9 20
10 62
11
Hypoxia promotes stem cell phenotypes and poor prognosis through epigenetic regulation of DICER. : Hypoxia promotes stem cell phenotypes and poor prognosis through epigenetic regulation of DICER.
1
12 36
13 185
14 31
15 36
16 20
17 16
18 48
19 113
20 92

About Twan van den Beucken

Twan van den Beucken is a scholar working on Cancer Research, Cell Biology and Physiology, having authored 45 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (13 papers), RNA modifications and cancer (9 papers) and Endoplasmic Reticulum Stress and Disease (8 papers). The work is most often cited by research in Cancer Research (940 citations), Cell Biology (681 citations) and Physiology (107 citations). Twan van den Beucken has collaborated with scholars based in Netherlands, Canada and United States. Frequent co-authors include Bradly G. Wouters, Marianne Koritzinsky, Philippe Lambin, Kasper M.A. Rouschop, Kim G.M. Savelkouls, Jan Willem Voncken, Michaël G. Magagnin, Ludwig J. Dubois, Johan Bussink and Albert J. van der Kogel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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