Vangelis Karalis
- Molecular Biology
- Statistics and Probability top 2%
- Infectious Diseases top 10%
- Pharmaceutical Science top 2%
- Immunology
- Co-authors
- Panos MacherasMira SymillidesEleni KaratzaMarilena VlachouDimitris PapadopoulosVinod P. ShahAngeliki SiamidiMeletios Α. Dimopoulos
- Topics
- Statistical Methods in Clinical Trials (27 papers)Computational Drug Discovery Methods (11 papers)Analytical Chemistry and Chromatography (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaBloodBiophysical Journal
- Partner nations
- GreeceUnited StatesIsrael
In The Last Decade
Vangelis Karalis
91 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Molecular Biology 208
- Statistics and Probability 202
- Infectious Diseases 180
- Pharmaceutical Science 146
- Immunology 144
Countries citing papers authored by Vangelis Karalis
This map shows the geographic impact of Vangelis Karalis'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 Vangelis Karalis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vangelis Karalis more than expected).
Fields of papers citing papers by Vangelis Karalis
This network shows the impact of papers produced by Vangelis Karalis. 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 Vangelis Karalis. The network helps show where Vangelis Karalis may publish in the future.
Co-authorship network of co-authors of Vangelis Karalis
This figure shows the co-authorship network connecting the top 25 collaborators of Vangelis Karalis. A scholar is included among the top collaborators of Vangelis Karalis 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 Vangelis Karalis. Vangelis Karalis 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 | 2 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 28 | |
| 7 | 25 | |
| 8 | 68 | |
| 9 | 45 | |
| 10 | 15 | |
| 11 | 17 | |
| 12 | 9 | |
| 13 | 15 | |
| 14 | 13 | |
| 15 | 2 | |
| 16 | 10 | |
| 17 | 17 | |
| 18 | 45 | |
| 19 | 14 | |
| 20 | 21 |
About Vangelis Karalis
Vangelis Karalis is a scholar working on Statistics and Probability, Applied Microbiology and Biotechnology and Pharmaceutical Science, having authored 98 papers that have together received 1.3k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (27 papers), Computational Drug Discovery Methods (11 papers) and Analytical Chemistry and Chromatography (10 papers). The work is most often cited by research in Health Informatics (55 citations), Statistics and Probability (202 citations) and Pharmaceutical Science (146 citations). Vangelis Karalis has collaborated with scholars based in Greece, United States and Israel. Frequent co-authors include Panos Macheras, Mira Symillides, Eleni Karatza, Marilena Vlachou, Dimitris Papadopoulos, Vinod P. Shah, Angeliki Siamidi, Meletios Α. Dimopoulos, Anna Tsantili‐Kakoulidou and Evangelos Terpos. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Biophysical Journal.
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.