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 15
- Microbial Metabolic Engineering and Bioproduction 12
- Gene Regulatory Network Analysis 11
- Oncology 8
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Sophia G. Antimisiaris (3 shared papers)Tomáš Helikar (8 shared papers)Barbara La Ferla (2 shared papers)Spyridon Mourtas (2 shared papers)Francesco Nicotra (2 shared papers)Cristiano Zona (2 shared papers)Mara Canovi (1 shared paper)Mario Salmona (1 shared paper)
- Journals
- Briefings in Bioinformatics (5 papers)Bioinformatics (3 papers)Molecular & Cellular Proteomics (2 papers)npj Digital Medicine (2 papers)Computational and Structural Biotechnology Journal (2 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Anna Niarakis
35 papers receiving 888 citations
Peers
Comparison fields: 5 of 115
- Molecular Medicine 110
- Biomaterials 150
- Pharmaceutical Science 59
- Physiology 203
- Molecular Biology 419
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 | 186 | |
| 2 | 2011 | 117 | |
| 3 | 2010 | 104 | |
| 4 | 2022 | 87 | |
| 5 | 2020 | 41 | |
| 6 | 2018 | 37 | |
| 7 | 2022 | 24 | |
| 8 | 2020 | 22 | |
| 9 | 2020 | 19 | |
| 10 | 2020 | 19 | |
| 11 | 2017 | 18 | |
| 12 | 2020 | 17 | |
| 13 | 2014 | 17 | |
| 14 | 2020 | 13 | |
| 15 | 2020 | 13 | |
| 16 | 2021 | 13 | |
| 17 | 2014 | 13 | |
| 18 | 2022 | 13 | |
| 19 | 2023 | 12 | |
| 20 | 2022 | 12 |
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 896 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (15 papers), Microbial Metabolic Engineering and Bioproduction (12 papers), Gene Regulatory Network Analysis (11 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Rheumatoid Arthritis Research and Therapies (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Computational Drug Discovery Methods (3 papers) and Protease and Inhibitor Mechanisms (3 papers). The work is most often cited by research in Molecular Medicine (110 citations), Biomaterials (150 citations), Pharmaceutical Science (59 citations), Physiology (203 citations) and Molecular Biology (419 citations). Anna Niarakis has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Sophia G. Antimisiaris, Tomáš Helikar, Barbara La Ferla, Spyridon Mourtas, Francesco Nicotra, Cristiano Zona, Mara Canovi, Mario Salmona, Marco Gobbi and Vidisha Singh. Their work appears in journals such as Briefings in Bioinformatics, Bioinformatics, Molecular & Cellular Proteomics, npj Digital Medicine and Computational and Structural Biotechnology 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.