Peter Kuckenberg
Impact in
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies
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- Pluripotent Stem Cells Research
- Epigenetics and DNA Methylation
- Renal and related cancers
- CRISPR and Genetic Engineering
Papers in ⓘ
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- Epigenetics and DNA Methylation 6
- Pluripotent Stem Cells Research 6
- Renal and related cancers 4
- Cancer-related gene regulation 1
- RNA Research and Splicing 1
- CRISPR and Genetic Engineering 1
- Genetics 1
- Mesenchymal stem cell research 1
- Co-authors
- Hubert Schorle (8 shared papers)Caroline Kubaczka (4 shared papers)Michael Peitz (3 shared papers)Claire E. Senner (2 shared papers)Marcos J. Araúzo‐Bravo (2 shared papers)Myriam Hemberger (2 shared papers)Elke Winterhager (2 shared papers)Sabine Schäfer (1 shared paper)
- Journals
- Biology of Reproduction (2 papers)Molecular and Cellular Biology (2 papers)Cell stem cell (1 paper)Reproductive BioMedicine Online (1 paper)PLoS ONE (1 paper)
- Partner nations
- GermanyUnited KingdomNetherlands
In The Last Decade
Peter Kuckenberg
8 papers receiving 549 citations
Peers
Comparison fields: 5 of 45
- Obstetrics and Gynecology 98
- Molecular Biology 477
- Pediatrics, Perinatology and Child Health 92
- Genetics 114
- Reproductive Medicine 31
Countries citing papers authored by Peter Kuckenberg
This map shows the geographic impact of Peter Kuckenberg'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 Peter Kuckenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Kuckenberg more than expected).
Fields of papers citing papers by Peter Kuckenberg
This network shows the impact of papers produced by Peter Kuckenberg. 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 Peter Kuckenberg. The network helps show where Peter Kuckenberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Kuckenberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 154 | |
| 2 | 2010 | 132 | |
| 3 | 2014 | 84 | |
| 4 | 2015 | 69 | |
| 5 | 2012 | 55 | |
| 6 | 2011 | 32 | |
| 7 | 2015 | 17 | |
| 8 | 2011 | 9 |
About Peter Kuckenberg
Peter Kuckenberg is a scholar working on Molecular Biology, Genetics, Obstetrics and Gynecology, Public Health, Environmental and Occupational Health and Genetics, having authored 8 papers that have together received 552 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Pluripotent Stem Cells Research (6 papers), Renal and related cancers (4 papers), Cancer-related gene regulation (1 paper), Mesenchymal stem cell research (1 paper), RNA Research and Splicing (1 paper), Pregnancy and preeclampsia studies (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Obstetrics and Gynecology (98 citations), Molecular Biology (477 citations), Pediatrics, Perinatology and Child Health (92 citations), Genetics (114 citations) and Reproductive Medicine (31 citations). Peter Kuckenberg has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include Hubert Schorle, Caroline Kubaczka, Michael Peitz, Claire E. Senner, Marcos J. Araúzo‐Bravo, Myriam Hemberger, Elke Winterhager, Sabine Schäfer, Leendert H. J. Looijenga and Daniel Nettersheim. Their work appears in journals such as Biology of Reproduction, Molecular and Cellular Biology, Cell stem cell, Reproductive BioMedicine Online and PLoS ONE.
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.