Caroline Treins

1.8k citations
14 papers · 1.4k indexed · 1 hit paper · h-index 14

Impact in

Papers in

Caroline Treins

14 papers receiving 1.4k citations

Hit Papers

Insulin Stimulates Hypoxia-inducible Factor 1 through a Phosphatidylinositol 3-Kinase/Target of Rapamycin-dependent Signaling Pathway 2002 · 439 citations
4392002202620102018100200300400

Peers

Caroline Treins
Comparison fields: 5 of 86
  • Cancer Research 423
  • Nephrology 123
  • Aging 24
  • Molecular Biology 879
  • Clinical Biochemistry 85
Replace Kálmán Tory with:
Kálmán Tory Hungary
Joseph Murdaca France
Lynn C. Shaw United States
Arjen R. Mensenkamp Netherlands
Bendi Gong United States
Olivier R. Baris France
Jiliang Zhou United States
Jacqueline Ho United States
Hakjoo Lee United States
Gabriela D’Amico United Kingdom
Caroline Treins relative to Kálmán Tory Hungary Kálmán Tory's profile →
Citations per field
00.5×5.7×
Kálmán Tory · 1×
Citations per year

Countries citing papers authored by Caroline Treins

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Treins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 202223
2 201731
3 201616
4 201673
5 201434
6 2013171
7 201220
8 2009123
9 200973
10 200652
11 2005100
12 2004110
13
Insulin Stimulates Hypoxia-inducible Factor 1 through a Phosphatidylinositol 3-Kinase/Target of Rapamycin-dependent Signaling Pathway
Hit paper breakdown →
2002439
14 2001160

About Caroline Treins

Caroline Treins is a scholar working on Aging, Ophthalmology, Cancer Research, Cell Biology and Molecular Biology, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Retinal Diseases and Treatments (3 papers), Tuberous Sclerosis Complex Research (2 papers), Pancreatic function and diabetes (1 paper), Hereditary Neurological Disorders (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Cancer Research (423 citations), Nephrology (123 citations), Aging (24 citations), Molecular Biology (879 citations) and Clinical Biochemistry (85 citations). Caroline Treins has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Joseph Murdaca, Emmanuel Van Obberghen, Sophie Giorgetti‐Peraldi, Gregg L. Semenza, Mario Pende, Julian Downward, Patricia H. Warne, Mark A. Magnuson, Sharad Kumar and Rodolphe Pontier-Bres. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Neurobiology of Disease, The EMBO Journal and Nature Medicine.

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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