Niki Margari
- Epidemiology
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Obstetrics and Gynecology top 10%
- Molecular Biology
- Co-authors
- Abraham PouliakisPetros KarakitsosIoannis PanayiotidesChristos MeristoudisJohn PanayiotidesMaria HaritouAris SpathisDimitris Koutsouris
- Topics
- Cervical Cancer and HPV Research (17 papers)AI in cancer detection (15 papers)Endometrial and Cervical Cancer Treatments (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioMed Research InternationalClinical Microbiology and Infection
- Partner nations
- GreeceUnited KingdomSpain
In The Last Decade
Niki Margari
40 papers receiving 484 citations
Peers
Comparison fields: 5 of 97
- Epidemiology 199
- Artificial Intelligence 191
- Radiology, Nuclear Medicine and Imaging 109
- Obstetrics and Gynecology 77
- Molecular Biology 73
Countries citing papers authored by Niki Margari
This map shows the geographic impact of Niki Margari'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 Niki Margari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niki Margari more than expected).
Fields of papers citing papers by Niki Margari
This network shows the impact of papers produced by Niki Margari. 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 Niki Margari. The network helps show where Niki Margari may publish in the future.
Co-authorship network of co-authors of Niki Margari
This figure shows the co-authorship network connecting the top 25 collaborators of Niki Margari. A scholar is included among the top collaborators of Niki Margari 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 Niki Margari. Niki Margari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 20 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 25 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 27 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 9 | |
| 13 | 5 | |
| 14 | The role of ThinPrep cytology in the investigation of ki-67 index, p53 and HER-2 detection in fine-needle aspirates of breast tumors. | 7 |
| 15 | 11 | |
| 16 | 8 | |
| 17 | Cascaded learning vector quantizer neural networks for the discrimination of thyroid lesions. | 26 |
| 18 | 6 | |
| 19 | 25 | |
| 20 | 5 |
About Niki Margari
Niki Margari is a scholar working on Medical Laboratory Technology, Obstetrics and Gynecology and Epidemiology, having authored 40 papers that have together received 500 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (17 papers), AI in cancer detection (15 papers) and Endometrial and Cervical Cancer Treatments (5 papers). The work is most often cited by research in Health Informatics (33 citations), Obstetrics and Gynecology (77 citations) and Artificial Intelligence (191 citations). Niki Margari has collaborated with scholars based in Greece, United Kingdom and Spain. Frequent co-authors include Abraham Pouliakis, Petros Karakitsos, Ioannis Panayiotides, Christos Meristoudis, John Panayiotides, Maria Haritou, Aris Spathis, Dimitris Koutsouris, E Terzakis and Evangelos Paraskevaidis. Their work appears in journals such as SHILAP Revista de lepidopterología, BioMed Research International and Clinical Microbiology and Infection.
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.