Luisa Averdunk

943 citations
26 papers · 607 · h-index 12

Impact in

Papers in

    • Genomics and Rare Diseases 8
    • Genetics and Neurodevelopmental Disorders 4
    • Acute Kidney Injury Research 4

Luisa Averdunk

22 papers receiving 604 citations

Peers

Luisa Averdunk
Comparison fields: 5 of 68
  • Health Informatics 29
  • Nephrology 78
  • Immunology 128
  • Genetics 137
  • Clinical Biochemistry 15
Replace Kausik Mandal with:
Kausik Mandal India
Lisa M. Vincent United States
Hisato Suzuki Japan
Massimo Nicolò Italy
Sushan Luo China
Mary Feller Davis United States
Peirong Chen China
Klarissa Hanja Stürner Germany
Nils Schweingruber Germany
Luisa Averdunk relative to Kausik Mandal India Kausik Mandal's profile →
Citations per field
00.5×2×4×5.8×
Kausik Mandal · 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

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022138
2 201897
3 201560
4 201851
5 201739
6 202136
7 202430
8 202125
9 201624
10 201920
11 202017
12 202013
13 201611
14 202310
15 20227
16 20237
17 20246
18 20215
19
De novo DHDDS variants cause a neurodevelopmental and neurodegenerative disorder with myoclonus
20225
20 20243

About Luisa Averdunk

Luisa Averdunk is a scholar working on Genetics, Nephrology, Immunology, Developmental Biology and Rheumatology, having authored 26 papers that have together received 607 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (8 papers), Macrophage Migration Inhibitory Factor (5 papers), Acute Kidney Injury Research (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Congenital limb and hand anomalies (2 papers), Lysosomal Storage Disorders Research (2 papers), Metabolism and Genetic Disorders (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Health Informatics (29 citations), Nephrology (78 citations), Immunology (128 citations), Genetics (137 citations) and Clinical Biochemistry (15 citations). Luisa Averdunk has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Christian Stoppe, Jürgen Bernhagen, Gernot Marx, Lin Leng, Richard Bucala, Wibke Schulte, Josefin Soppert, Andreas Goetzenich, Sandra Kraemer and Gilbert W. Moeckel. Their work appears in journals such as Genetics in Medicine, Journal of Clinical Medicine, Nature Genetics, Journal of Cellular and Molecular Medicine and Science Translational Medicine.

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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