Ulf Diekmann
Impact in
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- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Renal and related cancers
- Glycosylation and Glycoproteins Research
- Wnt/β-catenin signaling in development and cancer
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- Pancreatic function and diabetes
- Tissue Engineering and Regenerative Medicine
Papers in
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- Pluripotent Stem Cells Research 12
- CRISPR and Genetic Engineering 6
- Renal and related cancers 3
- Congenital heart defects research 2
- Surgery 12
- Pancreatic function and diabetes 10
- Tissue Engineering and Regenerative Medicine 4
- Co-authors
- Ortwin Naujok (15 shared papers)Sigurd Lenzen (4 shared papers)Jana Lentes (1 shared paper)Falk F. R. Buettner (3 shared papers)Thomas Thum (2 shared papers)Jan Fiedler (2 shared papers)C Götting (1 shared paper)K Kleesiek (1 shared paper)
- Journals
- Stem Cells (1 paper)Scientific Reports (1 paper)Molecular & Cellular Proteomics (1 paper)Stem Cells and Development (1 paper)Journal of Visualized Experiments (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Ulf Diekmann
19 papers receiving 371 citations
Peers
Comparison fields: 5 of 67
- Molecular Biology 302
- Surgery 118
- Cancer Research 40
- Genetics 55
- Cell Biology 32
Countries citing papers authored by Ulf Diekmann
This map shows the geographic impact of Ulf Diekmann'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 Ulf Diekmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulf Diekmann more than expected).
Fields of papers citing papers by Ulf Diekmann
This network shows the impact of papers produced by Ulf Diekmann. 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 Ulf Diekmann. The network helps show where Ulf Diekmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Ulf Diekmann, 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 | 2014 | 100 | |
| 2 | 2014 | 57 | |
| 3 | 2016 | 39 | |
| 4 | 2016 | 38 | |
| 5 | 2014 | 24 | |
| 6 | 2009 | 22 | |
| 7 | 2017 | 21 | |
| 8 | 2019 | 16 | |
| 9 | 2020 | 10 | |
| 10 | 2012 | 9 | |
| 11 | 2013 | 9 | |
| 12 | 2012 | 8 | |
| 13 | 2016 | 5 | |
| 14 | 2015 | 4 | |
| 15 | 2011 | 4 | |
| 16 | 2016 | 3 | |
| 17 | 2015 | 2 | |
| 18 | 2017 | 2 | |
| 19 | 2017 | 1 |
About Ulf Diekmann
Ulf Diekmann is a scholar working on Molecular Biology, Surgery, Genetics, Immunology and Pathology and Forensic Medicine, having authored 19 papers that have together received 374 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (12 papers), Pancreatic function and diabetes (10 papers), CRISPR and Genetic Engineering (6 papers), Tissue Engineering and Regenerative Medicine (4 papers), Renal and related cancers (3 papers), Congenital heart defects research (2 papers), MicroRNA in disease regulation (1 paper) and Dermatological and Skeletal Disorders (1 paper). The work is most often cited by research in Molecular Biology (302 citations), Surgery (118 citations), Cancer Research (40 citations), Genetics (55 citations) and Cell Biology (32 citations). Ulf Diekmann has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Ortwin Naujok, Sigurd Lenzen, Jana Lentes, Falk F. R. Buettner, Thomas Thum, Jan Fiedler, C Götting, K Kleesiek, Thomas Müller and Ralf Zarbock. Their work appears in journals such as Stem Cells, Scientific Reports, Molecular & Cellular Proteomics, Stem Cells and Development and Journal of Visualized Experiments.
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.