Luisa Averdunk

850 citations
11 papers · 223 · h-index 8

Impact in

    • Macrophage Migration Inhibitory Factor
    • Acute Kidney Injury Research
    • Chronic Kidney Disease and Diabetes

Papers in

    • Macrophage Migration Inhibitory Factor 5
    • RNA and protein synthesis mechanisms 2
    • RNA Research and Splicing 2
    • Advanced biosensing and bioanalysis techniques 1

Luisa Averdunk

11 papers receiving 222 citations

Peers

Luisa Averdunk
Comparison fields: 5 of 59
  • Immunology 131
  • Nephrology 21
  • Cellular and Molecular Neuroscience 41
  • Cardiology and Cardiovascular Medicine 35
  • Developmental Neuroscience 4
Replace Yan‐Wen Shu with:
Yan‐Wen Shu China
Şengül Boral Germany
Xilan Yang China
Kim E. Dzobo Netherlands
Yan Sang China
Jihua Feng China
Pamella Huey Mei Wang Brazil
Leticia Cuarental Spain
Meng‐yun Cai China
Cecilia Frej Sweden
Luisa Averdunk relative to Yan‐Wen Shu China Yan‐Wen Shu's profile →
Citations per field
00.5×2.9×
Yan‐Wen Shu · 1×
Citations per year

Countries citing papers authored by Luisa Averdunk

Since Specialization
Citations

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

Fields of papers citing papers by Luisa Averdunk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201553
2 201848
3 201733
4 201623
5 201918
6 202016
7 202013
8 20169
9 20225
10 20214
11 20221

About Luisa Averdunk

Luisa Averdunk is a scholar working on Immunology, Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 223 indexed citations. Recurring topics across this work include Macrophage Migration Inhibitory Factor (5 papers), RNA and protein synthesis mechanisms (2 papers), RNA Research and Splicing (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Infectious Aortic and Vascular Conditions (1 paper), Chemokine receptors and signaling (1 paper), Apelin-related biomedical research (1 paper) and Neuropeptides and Animal Physiology (1 paper). The work is most often cited by research in Immunology (131 citations), Nephrology (21 citations), Cellular and Molecular Neuroscience (41 citations), Cardiology and Cardiovascular Medicine (35 citations) and Developmental Neuroscience (4 citations). Luisa Averdunk has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Christian Stoppe, Jürgen Bernhagen, Gernot Marx, Lin Leng, Sandra Kraemer, Andreas Goetzenich, Josefin Soppert, Wibke Schulte, Richard Bucala and Julia Möllmann. Their work appears in journals such as Journal of Clinical Medicine, Scientific Reports, Antioxidants and Redox Signaling, Journal of Cardiovascular Translational Research and Clinical Genetics.

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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