Frédérique Groubatch

540 citations
16 papers · 416 · h-index 13

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
    • Inflammation biomarkers and pathways

Papers in

    • Tissue Engineering and Regenerative Medicine 5
    • Mesenchymal stem cell research 6

Frédérique Groubatch

16 papers receiving 407 citations

Peers

Frédérique Groubatch
Comparison fields: 5 of 62
  • Genetics 97
  • Immunology 149
  • Biomaterials 61
  • Surgery 166
  • Critical Care and Intensive Care Medicine 16
Replace Jingying Hou with:
Jingying Hou China
Arantxa Cemborain Spain
Shahrul I. Ibrahim United States
Maximilian M. Menger Germany
Rende Xu China
J. Neidel Germany
Federico Franchi United States
Qiancheng Luo China
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Citations per field
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Citations per year

Countries citing papers authored by Frédérique Groubatch

Since Specialization
Citations

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

Fields of papers citing papers by Frédérique Groubatch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2015106
2 201347
3 201242
4 200638
5 200834
6
Intramyocardial Implantation of bone marrow-derived stem cells enhances perfusion in chronic myocardial infarction: dependency on initial perfusion depth and follow-up assessed by gated pinhole SPECT.
200723
7 201822
8 200322
9 201618
10 201517
11 201715
12 201413
13 200613
14 20133
15 20242
16 20241

About Frédérique Groubatch

Frédérique Groubatch is a scholar working on Surgery, Genetics, Biomaterials, Pathology and Forensic Medicine and Pediatrics, Perinatology and Child Health, having authored 16 papers that have together received 416 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (6 papers), Tissue Engineering and Regenerative Medicine (5 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Inflammation biomarkers and pathways (3 papers), Mechanical Circulatory Support Devices (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Cardiac Arrest and Resuscitation (3 papers) and Respiratory Support and Mechanisms (2 papers). The work is most often cited by research in Genetics (97 citations), Immunology (149 citations), Biomaterials (61 citations), Surgery (166 citations) and Critical Care and Intensive Care Medicine (16 citations). Frédérique Groubatch has collaborated with scholars based in France, China and United States. Frequent co-authors include Nguyen Tran, Pierre‐Yves Marie, Amir Boufenzer, Sébastien Gibot, Pablo Maureira, Fatiha Maskali, Marc Derive, Sylvain Poussier, Youcef Bouazza and Nguyen Tran. Their work appears in journals such as Intensive Care Medicine Experimental, Shock, ESC Heart Failure, Cellular Physiology and Biochemistry and Circulation Research.

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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