Tom G. Keulers

4.8k citations
22 papers · 1.8k indexed · 2 hit papers · h-index 14

Tom G. Keulers

20 papers receiving 1.8k citations

Hit Papers

LC3/GABARAP family proteins: autophagy‐(un)related ...5132009202620142020200400600

Peers

Tom G. Keulers
Comparison fields: 5 of 101
  • Cell Biology 518
  • Epidemiology 1.1k
  • Physiology 134
  • Cancer Research 442
  • Geriatrics and Gerontology 96
Replace Diane Crighton with:
Diane Crighton United Kingdom
Johanna M. S. Lemons United States
Leyuan Liu United States
Andrew M. Leidal United States
Raquel García-Medina United States
Jens Füllgrabe Sweden
Chandreyee Mukherjee United States
Fabien Gautier France
Daniel Meley France
Gennaro Napolitano United States
Tom G. Keulers relative to Diane Crighton United Kingdom Diane Crighton's profile →
Citations per field
00.5×2.9×
Diane Crighton · 1×
Citations per year

Countries citing papers authored by Tom G. Keulers

Since Specialization
Citations

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

Fields of papers citing papers by Tom G. Keulers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom G. Keulers. 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 Tom G. Keulers. The network helps show where Tom G. Keulers may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20253
4 20245
5 20241
6 20234
7 202124
8 202127
9 201952
10 201837
11 20175
12 201635
13 201520
14 201520
15 201338
16 201336
17 2013177
18 201120
19 2009113
20
The unfolded protein response protects human tumor cells during hypoxia through regulation of the autophagy genes MAP1LC3B and ATG5breakdown →
2009654

About Tom G. Keulers

Tom G. Keulers is a scholar working on Cancer Research, Family Practice and Epidemiology, having authored 22 papers that have together received 1.8k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (12 papers), Cancer, Hypoxia, and Metabolism (7 papers), Extracellular vesicles in disease (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Nanoplatforms for cancer theranostics (4 papers), MicroRNA in disease regulation (3 papers), RNA modifications and cancer (3 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cell Biology (518 citations), Epidemiology (1.1k citations) and Physiology (134 citations). Tom G. Keulers has collaborated with scholars based in Netherlands, Canada and United States. Frequent co-authors include Kasper M.A. Rouschop, Marco B.E. Schaaf, Marc Vooijs, Bradly G. Wouters, Johan Bussink, Marianne Koritzinsky, Philippe Lambin, Kim G.M. Savelkouls, Ludwig J. Dubois and Twan van den Beucken. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and PLoS ONE.

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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