Ioannis Kavakiotis
- Molecular Biology top 10%
- Cancer Research top 5%
- Health Information Management top 0.1%
- Artificial Intelligence top 2%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Ioannis VlahavasAthanasios SalifoglouO. TsaveNicos MaglaverasIoanna ChouvardaArtemis G. HatzigeorgiouSpyros TastsoglouIoannis S. Vlachos
- Topics
- MicroRNA in disease regulation (5 papers)Cancer-related molecular mechanisms research (5 papers)Genetic and phenotypic traits in livestock (4 papers)
- Partner nations
- GreeceUnited StatesSweden
In The Last Decade
Ioannis Kavakiotis
22 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Molecular Biology 848
- Cancer Research 637
- Health Information Management 555
- Artificial Intelligence 475
- Endocrinology, Diabetes and Metabolism 130
Countries citing papers authored by Ioannis Kavakiotis
This map shows the geographic impact of Ioannis Kavakiotis'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 Ioannis Kavakiotis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ioannis Kavakiotis more than expected).
Fields of papers citing papers by Ioannis Kavakiotis
This network shows the impact of papers produced by Ioannis Kavakiotis. 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 Ioannis Kavakiotis. The network helps show where Ioannis Kavakiotis may publish in the future.
Co-authorship network of co-authors of Ioannis Kavakiotis
This figure shows the co-authorship network connecting the top 25 collaborators of Ioannis Kavakiotis. A scholar is included among the top collaborators of Ioannis Kavakiotis 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 Ioannis Kavakiotis. Ioannis Kavakiotis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 64 | |
| 5 | 1 | |
| 6 | 35 | |
| 7 | 11 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | Machine Learning and Data Mining Methods in Diabetes Researchbreakdown → | 849 |
| 12 | DIANA-TarBase v8: a decade-long collection of experimentally supported miRNA–gene interactionsbreakdown → | 813 |
| 13 | 6 | |
| 14 | 10 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 33 | |
| 18 | 17 | |
| 19 | 3 | |
| 20 | 15 |
About Ioannis Kavakiotis
Ioannis Kavakiotis is a scholar working on Cancer Research, Biochemistry and Molecular Biology, having authored 23 papers that have together received 1.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers) and Genetic and phenotypic traits in livestock (4 papers). The work is most often cited by research in Health Information Management (555 citations), Cancer Research (637 citations) and Health Informatics (28 citations). Ioannis Kavakiotis has collaborated with scholars based in Greece, United States and Sweden. Frequent co-authors include Ioannis Vlahavas, Athanasios Salifoglou, O. Tsave, Nicos Maglaveras, Ioanna Chouvarda, Artemis G. Hatzigeorgiou, Spyros Tastsoglou, Ioannis S. Vlachos, Giorgos Skoufos and Dimitra Karagkouni. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Expert Systems with Applications.
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.