Irina Kerkis
- Genetics top 0.5%
- Molecular Biology top 10%
- Surgery top 5%
- Urology top 1%
- Genetics top 5%
- Co-authors
- Alexandre KerkisArnold I. CaplanH CerrutiNelson Foresto LizierCristiane Valverde WenceslauLygia V. PereiraMirian A.F. HayashiMarcelo Cavenaghi Pereira da Silva
- Topics
- Mesenchymal stem cell research (34 papers)Pluripotent Stem Cells Research (18 papers)Tissue Engineering and Regenerative Medicine (16 papers)
- Cited by
- GeneticsUrologyMicrobiology
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- BrazilUnited StatesRussia
In The Last Decade
Irina Kerkis
83 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 114
- Genetics 1.3k
- Molecular Biology 1.1k
- Surgery 778
- Urology 440
- Genetics 418
Countries citing papers authored by Irina Kerkis
This map shows the geographic impact of Irina Kerkis'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 Irina Kerkis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irina Kerkis more than expected).
Fields of papers citing papers by Irina Kerkis
This network shows the impact of papers produced by Irina Kerkis. 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 Irina Kerkis. The network helps show where Irina Kerkis may publish in the future.
Co-authorship network of co-authors of Irina Kerkis
This figure shows the co-authorship network connecting the top 25 collaborators of Irina Kerkis. A scholar is included among the top collaborators of Irina Kerkis 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 Irina Kerkis. Irina Kerkis 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 | 1 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 48 | |
| 8 | 5 | |
| 9 | 32 | |
| 10 | Diferenciação de gametas in vitro a partir de células-tronco | 1 |
| 11 | 27 | |
| 12 | 58 | |
| 13 | 7 | |
| 14 | 22 | |
| 15 | 97 | |
| 16 | 21 | |
| 17 | 58 | |
| 18 | 9 | |
| 19 | 57 | |
| 20 | Pre-Clinical Investigation of the Efficacy of Immature Dental Pulp Stem Cells Transplantation for Ocular Surface Reconstruction | 1 |
About Irina Kerkis
Irina Kerkis is a scholar working on Genetics, Developmental Neuroscience and Microbiology, having authored 87 papers that have together received 2.7k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (34 papers), Pluripotent Stem Cells Research (18 papers) and Tissue Engineering and Regenerative Medicine (16 papers). The work is most often cited by research in Genetics (1.3k citations), Urology (440 citations) and Microbiology (173 citations). Irina Kerkis has collaborated with scholars based in Brazil, United States and Russia. Frequent co-authors include Alexandre Kerkis, Arnold I. Caplan, H Cerruti, Nelson Foresto Lizier, Cristiane Valverde Wenceslau, Lygia V. Pereira, Mirian A.F. Hayashi, Marcelo Cavenaghi Pereira da Silva, Dmitri Dozortsev and Sílvia Maria Gomes Massironi. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología 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.