Sabine Dietmann
- Molecular Biology top 0.5%
- Cancer Research top 1%
- Genetics top 2%
- Public Health, Environmental and Occupational Health top 2%
- Surgery top 10%
- Co-authors
- M. Azim SuraniWalfred W. C. TangNaoko IrieMichaela FryeToshihiro KobayashiSandra BlancoAustin SmithShobbir Hussain
- Topics
- Pluripotent Stem Cells Research (30 papers)CRISPR and Genetic Engineering (19 papers)Epigenetics and DNA Methylation (18 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Sabine Dietmann
81 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Molecular Biology 6.9k
- Cancer Research 1.3k
- Genetics 1.1k
- Public Health, Environmental and Occupational Health 678
- Surgery 415
Countries citing papers authored by Sabine Dietmann
This map shows the geographic impact of Sabine Dietmann'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 Sabine Dietmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabine Dietmann more than expected).
Fields of papers citing papers by Sabine Dietmann
This network shows the impact of papers produced by Sabine Dietmann. 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 Sabine Dietmann. The network helps show where Sabine Dietmann may publish in the future.
Co-authorship network of co-authors of Sabine Dietmann
This figure shows the co-authorship network connecting the top 25 collaborators of Sabine Dietmann. A scholar is included among the top collaborators of Sabine Dietmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sabine Dietmann. Sabine Dietmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 21 | |
| 3 | Mitochondrial RNA modifications shape metabolic plasticity in metastasisbreakdown → | 200 |
| 4 | 53 | |
| 5 | 37 | |
| 6 | 27 | |
| 7 | 形成多能性の特徴を有するマウスおよびヒト幹細胞の捕獲【JST・京大機械翻訳】 | 17 |
| 8 | 36 | |
| 9 | 49 | |
| 10 | 137 | |
| 11 | 170 | |
| 12 | 98 | |
| 13 | 142 | |
| 14 | 124 | |
| 15 | 6 | |
| 16 | 22 | |
| 17 | 107 | |
| 18 | SOX17 Is a Critical Specifier of Human Primordial Germ Cell Fatebreakdown → | 588 |
| 19 | 53 | |
| 20 | 143 |
About Sabine Dietmann
Sabine Dietmann is a scholar working on Molecular Biology, Cancer Research and Developmental Neuroscience, having authored 81 papers that have together received 8.2k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (30 papers), CRISPR and Genetic Engineering (19 papers) and Epigenetics and DNA Methylation (18 papers). The work is most often cited by research in Molecular Biology (6.9k citations), Developmental Neuroscience (403 citations) and Cancer Research (1.3k citations). Sabine Dietmann has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include M. Azim Surani, Walfred W. C. Tang, Naoko Irie, Michaela Frye, Toshihiro Kobayashi, Sandra Blanco, Austin Smith, Shobbir Hussain, Jamie A. Hackett and Jennifer Nichols. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.