Debora Kehl

723 citations
13 papers · 401 · h-index 9

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
  • Biomaterials top 10%
    • Electrospun Nanofibers in Biomedical Applications

Papers in

    • Tissue Engineering and Regenerative Medicine 6
    • Pluripotent Stem Cells Research 6
    • CRISPR and Genetic Engineering 3
    • Renal and related cancers 2

Debora Kehl

13 papers receiving 396 citations

Peers

Debora Kehl
Comparison fields: 5 of 65
  • Genetics 137
  • Biomaterials 150
  • Surgery 196
  • Urology 19
  • Developmental Neuroscience 12
Replace Toshinari Toba with:
Toshinari Toba Japan
Melanie Generali Switzerland
Xiaolian Han Australia
Vinícius Bassaneze Brazil
Stephen McIlhenny United States
Forum Shah United States
Gregory P.L. Thomas United Kingdom
Peter Mark Germany
Barbara Battolla Italy
Stefan Bajada United Kingdom
Debora Kehl relative to Toshinari Toba Japan Toshinari Toba's profile →
Citations per field
00.5×7.4×
Toshinari Toba · 1×
Citations per year

Countries citing papers authored by Debora Kehl

Since Specialization
Citations

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

Fields of papers citing papers by Debora Kehl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2019152
2 201783
3 201933
4 202224
5 201524
6 201321
7 201720
8 201618
9 201311
10 20217
11 20243
12 20173
13 20252

About Debora Kehl

Debora Kehl is a scholar working on Surgery, Molecular Biology, Biomaterials, Biomedical Engineering and Genetics, having authored 13 papers that have together received 401 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (6 papers), Pluripotent Stem Cells Research (6 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), CRISPR and Genetic Engineering (3 papers), 3D Printing in Biomedical Research (3 papers), Mesenchymal stem cell research (2 papers), Renal and related cancers (2 papers) and Cardiac Valve Diseases and Treatments (2 papers). The work is most often cited by research in Genetics (137 citations), Biomaterials (150 citations), Surgery (196 citations), Urology (19 citations) and Developmental Neuroscience (12 citations). Debora Kehl has collaborated with scholars based in Switzerland, United States and Japan. Frequent co-authors include Simon P. Hoerstrup, Benedikt Weber, Melanie Generali, Anne‐Christine Uldry, Manfred Heller, Benjamin Gantenbein, Phil F. Cheng, Anna Mallone, Kevin Kit Parker and Andrew K. Capulli. Their work appears in journals such as Cardiovascular Pathology, Journal of Translational Medicine, npj Regenerative Medicine, Tissue Engineering Part C Methods and Biomaterials.

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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