Daniel Liedtke
Impact in
- Cell Biology top 10%
- Zebrafish Biomedical Research Applications
- melanin and skin pigmentation
- Physiology top 10%
Papers in
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- Developmental Biology and Gene Regulation 4
- Congenital heart defects research 3
- Genomics and Chromatin Dynamics 2
- RNA Research and Splicing 2
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- Zebrafish Biomedical Research Applications 3
- Co-authors
- Angela Mally (2 shared papers)Benedikt Bauer (2 shared papers)Manfred Schartl (5 shared papers)Jean‐Nicolas Volff (2 shared papers)Ingo Braasch (1 shared paper)Eva Klopocki (7 shared papers)Franz Jakob (3 shared papers)Christoph Winkler (2 shared papers)
In The Last Decade
Daniel Liedtke
22 papers receiving 470 citations
Peers
Comparison fields: 5 of 91
- Cell Biology 169
- Physiology 28
- Aging 6
- Genetics 84
- Nutrition and Dietetics 46
Countries citing papers authored by Daniel Liedtke
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
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.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 88 | |
| 2 | 2009 | 74 | |
| 3 | 2008 | 51 | |
| 4 | 2020 | 43 | |
| 5 | 2019 | 36 | |
| 6 | 2020 | 26 | |
| 7 | 2004 | 20 | |
| 8 | 2021 | 19 | |
| 9 | 2007 | 16 | |
| 10 | 2021 | 13 | |
| 11 | 2019 | 13 | |
| 12 | 2013 | 13 | |
| 13 | 2009 | 10 | |
| 14 | 2022 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2019 | 8 | |
| 17 | 2020 | 7 | |
| 18 | 2012 | 7 | |
| 19 | 2023 | 6 | |
| 20 | 2010 | 4 |
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 474 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (4 papers), Zebrafish Biomedical Research Applications (3 papers), Congenital heart defects research (3 papers), Alkaline Phosphatase Research Studies (3 papers), Craniofacial Disorders and Treatments (2 papers), Genomics and Chromatin Dynamics (2 papers), RNA Research and Splicing (2 papers) and Aquaculture disease management and microbiota (2 papers). The work is most often cited by research in Cell Biology (169 citations), Physiology (28 citations), Aging (6 citations), Genetics (84 citations) and Nutrition and Dietetics (46 citations). Daniel Liedtke has collaborated with scholars based in Germany, Canada and Belgium. Frequent co-authors include Angela Mally, Benedikt Bauer, Manfred Schartl, Jean‐Nicolas Volff, Ingo Braasch, Eva Klopocki, Franz Jakob, Christoph Winkler, Cordula Neuner and Erez Raz. Their work appears in journals such as International Journal of Molecular Sciences, Scientific Reports, Pigment Cell & Melanoma Research, Disease Models & Mechanisms and Translational research.
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.