Thomas Bertero

4.3k citations
35 papers · 2.4k · h-index 23

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation

Papers in

Thomas Bertero

35 papers receiving 2.4k citations

Peers

Thomas Bertero
Comparison fields: 5 of 106
  • Cancer Research 1.0k
  • Molecular Biology 1.3k
  • Cell Biology 301
  • Oncology 414
  • Pulmonary and Respiratory Medicine 468
Replace Steven Goossens with:
Steven Goossens Belgium
Eiji Sugihara Japan
Reza Forough United States
Victoria Bolós Spain
Stéphanie Dauvillier France
Jennifer A. Tuxhorn United States
Guo-fu Hu United States
Isabelle Bourget France
Katarzyna Miękus Poland
Masashi Idogawa Japan
Thomas Bertero relative to Steven Goossens Belgium Steven Goossens's profile →
Citations per field
00.5×3.1×
Steven Goossens · 1×
Citations per year

Countries citing papers authored by Thomas Bertero

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Bertero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010348
2 2018311
3 2015295
4 2013194
5 2009175
6 202196
7 201991
8 201884
9 201172
10 201972
11 201472
12 201361
13 201353
14 201549
15 201348
16 201641
17 201741
18 201937
19 201231
20 202029

About Thomas Bertero

Thomas Bertero is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cell Biology, Cancer Research and Oncology, having authored 35 papers that have together received 2.4k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (10 papers), MicroRNA in disease regulation (9 papers), Hippo pathway signaling and YAP/TAZ (6 papers), Circular RNAs in diseases (5 papers), Cellular Mechanics and Interactions (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Microtubule and mitosis dynamics (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Cancer Research (1.0k citations), Molecular Biology (1.3k citations), Cell Biology (301 citations), Oncology (414 citations) and Pulmonary and Respiratory Medicine (468 citations). Thomas Bertero has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Bernard Mari, Pascal Barbry, Isabelle Bourget, Guerrino Meneguzzi, Stephen Y. Chan, Cédric Gaggioli, Paul Hofman, Eloïse M. Grasset, Bruno Cardinaud and Chloé C. Féral. Their work appears in journals such as PLoS ONE, Circulation Research, Cell Death and Differentiation, Cell Metabolism and The FASEB Journal.

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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