Agapios Sachinidis
- Molecular Biology top 1%
- Surgery top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Physiology top 2%
- Cancer Research top 2%
- Co-authors
- H. VetterMichael Xavier DossJürgen HeschelerYon KoW. VetterKesavan MeganathanClaudia SeulJan G. Hengstler
- Topics
- Pluripotent Stem Cells Research (85 papers)CRISPR and Genetic Engineering (29 papers)3D Printing in Biomedical Research (25 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Agapios Sachinidis
271 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Molecular Biology 4.2k
- Surgery 1.1k
- Cardiology and Cardiovascular Medicine 955
- Physiology 796
- Cancer Research 697
Countries citing papers authored by Agapios Sachinidis
This map shows the geographic impact of Agapios Sachinidis'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 Agapios Sachinidis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Agapios Sachinidis more than expected).
Fields of papers citing papers by Agapios Sachinidis
This network shows the impact of papers produced by Agapios Sachinidis. 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 Agapios Sachinidis. The network helps show where Agapios Sachinidis may publish in the future.
Co-authorship network of co-authors of Agapios Sachinidis
This figure shows the co-authorship network connecting the top 25 collaborators of Agapios Sachinidis. A scholar is included among the top collaborators of Agapios Sachinidis 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 Agapios Sachinidis. Agapios Sachinidis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 12 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 38 | |
| 9 | 9 | |
| 10 | 11 | |
| 11 | 24 | |
| 12 | 47 | |
| 13 | Current Challenges of iPSC-Based Disease Modeling and Therapeutic Implicationsbreakdown → | 306 |
| 14 | 9 | |
| 15 | 14 | |
| 16 | 14 | |
| 17 | 22 | |
| 18 | 24 | |
| 19 | 14 | |
| 20 | 3 |
About Agapios Sachinidis
Agapios Sachinidis is a scholar working on Molecular Biology, Aging and Applied Microbiology and Biotechnology, having authored 275 papers that have together received 7.5k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (85 papers), CRISPR and Genetic Engineering (29 papers) and 3D Printing in Biomedical Research (25 papers). The work is most often cited by research in Molecular Biology (4.2k citations), Biochemistry (368 citations) and Developmental Neuroscience (248 citations). Agapios Sachinidis has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include H. Vetter, Michael Xavier Doss, Jürgen Hescheler, Yon Ko, W. Vetter, Kesavan Meganathan, Claudia Seul, Jan G. Hengstler, Jürgen Hoppe and Stefan Seewald. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.