Stefan Costinean
- Molecular Biology top 1%
- Cancer Research top 0.1%
- Immunology top 2%
- Oncology top 5%
- Epidemiology top 10%
- Co-authors
- Carlo M. CroceEsmerina TiliStefano VoliniaNicola ZanesiGeorge A. CalinMuller FabbriJean‐Jacques MichailleYuri Pekarsky
- Topics
- MicroRNA in disease regulation (20 papers)Cancer-related molecular mechanisms research (11 papers)Circular RNAs in diseases (8 papers)
- Partner nations
- United StatesItalyTürkiye
In The Last Decade
Stefan Costinean
39 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 5.1k
- Cancer Research 4.6k
- Immunology 1.2k
- Oncology 546
- Epidemiology 453
Countries citing papers authored by Stefan Costinean
This map shows the geographic impact of Stefan Costinean'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 Stefan Costinean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Costinean more than expected).
Fields of papers citing papers by Stefan Costinean
This network shows the impact of papers produced by Stefan Costinean. 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 Stefan Costinean. The network helps show where Stefan Costinean may publish in the future.
Co-authorship network of co-authors of Stefan Costinean
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Costinean. A scholar is included among the top collaborators of Stefan Costinean 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 Stefan Costinean. Stefan Costinean is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 48 | |
| 3 | 143 | |
| 4 | 96 | |
| 5 | 26 | |
| 6 | Essential metabolic, anti-inflammatory, and anti-tumorigenic functions of miR-122 in liverbreakdown → | 623 |
| 7 | 48 | |
| 8 | 33 | |
| 9 | microRNA-29 can regulate expression of the long non-coding RNA gene MEG3 in hepatocellular cancerbreakdown → | 545 |
| 10 | 17 | |
| 11 | 9 | |
| 12 | 235 | |
| 13 | 40 | |
| 14 | 4 | |
| 15 | 107 | |
| 16 | Modulation of miR-155 and miR-125b Levels following Lipopolysaccharide/TNF-α Stimulation and Their Possible Roles in Regulating the Response to Endotoxin Shockbreakdown → | 1110 |
| 17 | 25 | |
| 18 | MicroRNA-29 family reverts aberrant methylation in lung cancer by targeting DNA methyltransferases 3A and 3Bbreakdown → | 1285 |
| 19 | 39 | |
| 20 | 103 |
About Stefan Costinean
Stefan Costinean is a scholar working on Cancer Research, Immunology and Molecular Biology, having authored 39 papers that have together received 7.0k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (20 papers), Cancer-related molecular mechanisms research (11 papers) and Circular RNAs in diseases (8 papers). The work is most often cited by research in Cancer Research (4.6k citations), Molecular Biology (5.1k citations) and Immunology (1.2k citations). Stefan Costinean has collaborated with scholars based in United States, Italy and Türkiye. Frequent co-authors include Carlo M. Croce, Esmerina Tili, Stefano Volinia, Nicola Zanesi, George A. Calin, Muller Fabbri, Jean‐Jacques Michaille, Yuri Pekarsky, Hansjüerg Alder and Nyla A. Heerema. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Blood.
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.