Matthieu Schoenhals

1.5k citations
28 papers · 1.1k indexed · 1 hit paper · h-index 12
Topics
SARS-CoV-2 and COVID-19 Research (9 papers)COVID-19 epidemiological studies (9 papers)COVID-19 Clinical Research Studies (5 papers)

In The Last Decade

Matthieu Schoenhals

26 papers receiving 1.1k citations

Hit Papers

MYC/PGC-1α Balance Determines the Metabolic Phenotype and...20152026201820222015100200300400500

Peers

Matthieu Schoenhals
Comparison fields: 5 of 89
  • Molecular Biology 737
  • Cancer Research 458
  • Oncology 422
  • Epidemiology 83
  • Immunology 80
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
00.5×1.5×2.1×
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 of co-authors of Matthieu Schoenhals

This figure shows the co-authorship network connecting the top 25 collaborators of Matthieu Schoenhals. A scholar is included among the top collaborators of Matthieu Schoenhals 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 Matthieu Schoenhals. Matthieu Schoenhals 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 0
2 1
3 1
4 1
5 15
6 0
7 4
8 6
9 9
10 1
11 17
12 16
13 8
14 13
15 85
16
MYC/PGC-1α Balance Determines the Metabolic Phenotype and Plasticity of Pancreatic Cancer Stem Cellsbreakdown →
555
17 23
18 10
19 26
20 207

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) and COVID-19 Clinical Research Studies (5 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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