Matthieu Schoenhals

1.5k citations
28 papers · 1.1k indexed · 1 hit paper · h-index 12

Matthieu Schoenhals

26 papers receiving 1.1k citations

Hit Papers

MYC/PGC-1α Balance Determines the Metabolic Phenotype and...5552015202620182022100200300400500

Peers

Matthieu Schoenhals
Comparison fields: 5 of 89
  • Cancer Research 458
  • Oncology 422
  • Molecular Biology 737
  • Modeling and Simulation 42
  • Hematology 55
Replace Samuel J. Vidal with:
Samuel J. Vidal United States
Christopher Alder United Kingdom
Minlin Jiang China
Soha El Sheikh United Kingdom
Md. Hafiz Uddin United States
Shelley Hoover United States
Trevor Clancy Norway
Annika Fendler Germany
Valeria De Giorgi United States
Jennifer M. Reiman United States
Matthieu Schoenhals relative to Samuel J. Vidal United States Samuel J. Vidal's profile →
Citations per field
00.5×5.3×
Samuel J. Vidal · 1×
Citations per year

Countries citing papers authored by Matthieu Schoenhals

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu Schoenhals

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20231
4 20231
5 202315
6 20230
7 20224
8 20226
9 20229
10 20221
11 202117
12 202116
13 20218
14 201813
15 201685
16
MYC/PGC-1α Balance Determines the Metabolic Phenotype and Plasticity of Pancreatic Cancer Stem Cellsbreakdown →
2015555
17 201323
18 201210
19 200926
20 2009207

About Matthieu Schoenhals

Matthieu Schoenhals is a scholar working on Modeling and Simulation, Infectious Diseases and Health, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), COVID-19 epidemiological studies (9 papers), COVID-19 Clinical Research Studies (5 papers), Epigenetics and DNA Methylation (3 papers), Malaria Research and Control (3 papers), Kruppel-like factors research (3 papers), Virology and Viral Diseases (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Cancer Research (458 citations), Oncology (422 citations) and Molecular Biology (737 citations). Matthieu Schoenhals has collaborated with scholars based in Madagascar, France and United Kingdom. Frequent co-authors include Tony Bou Kheir, Christopher Heeschen, Bruno Sáinz, Jérôme Moreaux, Dirk Hose, Bernard Klein, Alboukadel Kassambara, Emma Burgos‐Ramos, Patricia Sancho and Petra Jagušt. Their work appears in journals such as Blood, The Journal of Immunology 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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