Anna Niarakis
Impact in
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Bioinformatics and Genomic Networks 14
- Gene Regulatory Network Analysis 11
- Microbial Metabolic Engineering and Bioproduction 11
- Oncology 8
- Co-authors
- Sophia G. Antimisiaris (3 shared papers)Tomáš Helikar (8 shared papers)Spyridon Mourtas (2 shared papers)Cristiano Zona (2 shared papers)Francesco Nicotra (2 shared papers)Barbara La Ferla (2 shared papers)Sylvain Soliman (7 shared papers)Marco Gobbi (1 shared paper)
- Journals
- Briefings in Bioinformatics (5 papers)Bioinformatics (3 papers)npj Digital Medicine (2 papers)npj Systems Biology and Applications (2 papers)Molecular & Cellular Proteomics (2 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Anna Niarakis
35 papers receiving 923 citations
Peers
Comparison fields: 5 of 113
- Molecular Medicine 105
- Biomaterials 145
- Pharmaceutical Science 56
- Physiology 193
- Molecular Biology 401
Countries citing papers authored by Anna Niarakis
This map shows the geographic impact of Anna Niarakis'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 Anna Niarakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Niarakis more than expected).
Fields of papers citing papers by Anna Niarakis
This network shows the impact of papers produced by Anna Niarakis. 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 Anna Niarakis. The network helps show where Anna Niarakis may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Niarakis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 188 | |
| 2 | 2011 | 119 | |
| 3 | 2010 | 105 | |
| 4 | 2022 | 95 | |
| 5 | 2020 | 42 | |
| 6 | 2018 | 36 | |
| 7 | 2022 | 26 | |
| 8 | 2020 | 22 | |
| 9 | 2020 | 20 | |
| 10 | 2020 | 20 | |
| 11 | 2017 | 18 | |
| 12 | 2020 | 17 | |
| 13 | 2014 | 17 | |
| 14 | 2022 | 16 | |
| 15 | 2023 | 15 | |
| 16 | 2022 | 14 | |
| 17 | 2014 | 13 | |
| 18 | 2021 | 13 | |
| 19 | 2020 | 13 | |
| 20 | 2020 | 13 |
About Anna Niarakis
Anna Niarakis is a scholar working on Molecular Biology, Oncology, Rheumatology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 36 papers that have together received 930 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (14 papers), Gene Regulatory Network Analysis (11 papers), Microbial Metabolic Engineering and Bioproduction (11 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Rheumatoid Arthritis Research and Therapies (4 papers), Computational Drug Discovery Methods (3 papers), Protease and Inhibitor Mechanisms (3 papers) and Systemic Lupus Erythematosus Research (3 papers). The work is most often cited by research in Molecular Medicine (105 citations), Biomaterials (145 citations), Pharmaceutical Science (56 citations), Physiology (193 citations) and Molecular Biology (401 citations). Anna Niarakis has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Sophia G. Antimisiaris, Tomáš Helikar, Spyridon Mourtas, Cristiano Zona, Francesco Nicotra, Barbara La Ferla, Sylvain Soliman, Marco Gobbi, Mario Salmona and Mara Canovi. Their work appears in journals such as Briefings in Bioinformatics, Bioinformatics, npj Digital Medicine, npj Systems Biology and Applications and Molecular & Cellular Proteomics.
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.