Daniel Liedtke

745 citations
22 papers · 513 · h-index 13

Impact in

  • Cell Biology top 10%
    • Zebrafish Biomedical Research Applications
    • melanin and skin pigmentation
  • Physiology top 10%

Papers in

    • Developmental Biology and Gene Regulation 4
    • Congenital heart defects research 3
    • Pluripotent Stem Cells Research 2
    • Zebrafish Biomedical Research Applications 3
    • Cellular transport and secretion 2

Daniel Liedtke

22 papers receiving 509 citations

Peers

Daniel Liedtke
Comparison fields: 5 of 91
  • Cell Biology 179
  • Physiology 27
  • Aging 6
  • Genetics 85
  • Sensory Systems 14
Replace Guillaume E. Béranger with:
Guillaume E. Béranger France
Igor Kondrychyn Singapore
Michael Gyda United States
Xiaohua Dong China
Valérie Beaulieu United States
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I‐Hsuan Liu Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Liedtke

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Liedtke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021102
2 200979
3 200853
4 202048
5 201940
6 202027
7 200420
8 202119
9 200717
10 201914
11 201313
12 202113
13 202212
14 200910
15 20239
16 20208
17 20198
18 20207
19 20127
20 20104

About Daniel Liedtke

Daniel Liedtke is a scholar working on Molecular Biology, Cell Biology, Genetics, Endocrinology, Diabetes and Metabolism and Immunology, having authored 22 papers that have together received 513 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (4 papers), Congenital heart defects research (3 papers), Zebrafish Biomedical Research Applications (3 papers), Alkaline Phosphatase Research Studies (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Cardiovascular Effects of Exercise (2 papers), Pluripotent Stem Cells Research (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Cell Biology (179 citations), Physiology (27 citations), Aging (6 citations), Genetics (85 citations) and Sensory Systems (14 citations). Daniel Liedtke has collaborated with scholars based in Germany, Belgium and Canada. Frequent co-authors include Angela Mally, Benedikt Bauer, Manfred Schartl, Jean‐Nicolas Volff, Ingo Braasch, Franz Jakob, Eva Klopocki, Christoph Winkler, Peter Fischer and Amaury Herpin. Their work appears in journals such as International Journal of Molecular Sciences, Scientific Reports, Pigment Cell & Melanoma Research, Communications Biology and Developmental Biology.

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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