Maria Kaparakis‐Liaskos
- Molecular Biology top 5%
- Microbiology top 0.1%
- Immunology top 2%
- Surgery top 5%
- Epidemiology top 5%
- Co-authors
- Richard L. FerreroNatalie J. BittoLeo EberlStefan SchildMasanori ToyofukuRishi D. PathiranaElla L. JohnstonThomas A. Kufer
- Topics
- Bacterial Infections and Vaccines (20 papers)Helicobacter pylori-related gastroenterology studies (19 papers)Galectins and Cancer Biology (12 papers)
- Cited by
- MicrobiologyEndocrinologyImmunology
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Maria Kaparakis‐Liaskos
44 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Molecular Biology 1.8k
- Microbiology 1.4k
- Immunology 1.2k
- Surgery 843
- Epidemiology 741
Countries citing papers authored by Maria Kaparakis‐Liaskos
This map shows the geographic impact of Maria Kaparakis‐Liaskos'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 Maria Kaparakis‐Liaskos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Kaparakis‐Liaskos more than expected).
Fields of papers citing papers by Maria Kaparakis‐Liaskos
This network shows the impact of papers produced by Maria Kaparakis‐Liaskos. 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 Maria Kaparakis‐Liaskos. The network helps show where Maria Kaparakis‐Liaskos may publish in the future.
Co-authorship network of co-authors of Maria Kaparakis‐Liaskos
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Kaparakis‐Liaskos. A scholar is included among the top collaborators of Maria Kaparakis‐Liaskos 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 Maria Kaparakis‐Liaskos. Maria Kaparakis‐Liaskos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 13 | |
| 3 | Composition and functions of bacterial membrane vesiclesbreakdown → | 343 |
| 4 | 17 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 7 | |
| 8 | 31 | |
| 9 | 42 | |
| 10 | 48 | |
| 11 | 154 | |
| 12 | Immune modulation by bacterial outer membrane vesiclesbreakdown → | 774 |
| 13 | 10 | |
| 14 | 198 | |
| 15 | 153 | |
| 16 | 196 | |
| 17 | 90 | |
| 18 | 60 | |
| 19 | 145 | |
| 20 | 157 |
About Maria Kaparakis‐Liaskos
Maria Kaparakis‐Liaskos is a scholar working on Microbiology, Immunology and Endocrinology, having authored 46 papers that have together received 4.1k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (20 papers), Helicobacter pylori-related gastroenterology studies (19 papers) and Galectins and Cancer Biology (12 papers). The work is most often cited by research in Microbiology (1.4k citations), Endocrinology (335 citations) and Immunology (1.2k citations). Maria Kaparakis‐Liaskos has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Richard L. Ferrero, Natalie J. Bitto, Leo Eberl, Stefan Schild, Masanori Toyofuku, Rishi D. Pathirana, Ella L. Johnston, Thomas A. Kufer, Dana J. Philpott and Andrew F. Hill. Their work appears in journals such as Nucleic Acids Research, Nature reviews. Immunology and The Journal of Immunology.
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.