Caroline End

564 citations
9 papers · 338 · h-index 8

Impact in

  • Microbiology top 10%
    • Antimicrobial Peptides and Activities
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction

Papers in

    • Epigenetics and DNA Methylation 2
    • Advanced biosensing and bioanalysis techniques 1
    • Machine Learning in Bioinformatics 1
    • Pancreatic function and diabetes 1

Caroline End

9 papers receiving 337 citations

Peers

Caroline End
Comparison fields: 5 of 74
  • Microbiology 48
  • Immunology 126
  • Periodontics 18
  • Equine 6
  • Genetics 55
Replace Patrícia de Sousa-Pereira with:
Patrícia de Sousa-Pereira Portugal
Laurent Mascarell France
Noemí Marina–García United States
Kristina Röschmann Netherlands
Subhendu Basu United States
Michiko Shibano Japan
Gareth Hardisty United Kingdom
Tamara K. Redman United States
Samuli Rounioja Finland
Véronique Schulten United States
Caroline End relative to Patrícia de Sousa-Pereira Portugal Patrícia de Sousa-Pereira's profile →
Citations per field
00.5×
Patrícia de Sousa-Pereira · 1×
Citations per year

Countries citing papers authored by Caroline End

Since Specialization
Citations

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

Fields of papers citing papers by Caroline End

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2007137
2 2004108
3 200526
4 200721
5 200712
6 200911
7 200711
8 20179
9 20103

About Caroline End

Caroline End is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Epidemiology and Genetics, having authored 9 papers that have together received 338 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Neonatal Respiratory Health Research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Pancreatic function and diabetes (1 paper), Inflammatory Bowel Disease (1 paper), Machine Learning in Bioinformatics (1 paper), Neuroscience of respiration and sleep (1 paper) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Microbiology (48 citations), Immunology (126 citations), Periodontics (18 citations), Equine (6 citations) and Genetics (55 citations). Caroline End has collaborated with scholars based in Germany, Denmark and Netherlands. Frequent co-authors include Marcus Renner, Jan Mollenhauer, Annemarie Poustka, Stefan Lyer, Petra Kioschis, Mathias Hafner, Burkhard Helmke, Arie V. Nieuw Amerongen, Stephan Hellmig and Philip Rosenstiel. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, The Journal of Immunology, Chemical Communications, Journal of Biological Chemistry and Clinical & Experimental Immunology.

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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