Anna Niarakis

1.8k total citations
36 papers, 896 citations indexed

About

Anna Niarakis is a scholar working on Molecular Biology, Oncology and Rheumatology. According to data from OpenAlex, Anna Niarakis has authored 36 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 8 papers in Oncology and 5 papers in Rheumatology. Recurrent topics in Anna Niarakis's work include Bioinformatics and Genomic Networks (15 papers), Microbial Metabolic Engineering and Bioproduction (12 papers) and Gene Regulatory Network Analysis (11 papers). Anna Niarakis is often cited by papers focused on Bioinformatics and Genomic Networks (15 papers), Microbial Metabolic Engineering and Bioproduction (12 papers) and Gene Regulatory Network Analysis (11 papers). Anna Niarakis collaborates with scholars based in France, United States and United Kingdom. Anna Niarakis's co-authors include Sophia G. Antimisiaris, Tomáš Helikar, Spyridon Mourtas, Francesco Nicotra, Cristiano Zona, Barbara La Ferla, Mara Canovi, Mario Salmona, Marco Gobbi and Vidisha Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Biomaterials.

In The Last Decade

Anna Niarakis

35 papers receiving 888 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anna Niarakis France 14 419 203 150 110 99 36 896
Bing Zhu China 25 886 2.1× 126 0.6× 192 1.3× 65 0.6× 201 2.0× 49 1.6k
Meiqun Cao China 13 332 0.8× 67 0.3× 198 1.3× 25 0.2× 268 2.7× 23 900
Dalia Abdelhamid Egypt 21 521 1.2× 31 0.2× 90 0.6× 131 1.2× 55 0.6× 39 1.3k
Hui Li Ang Singapore 12 500 1.2× 32 0.2× 91 0.6× 63 0.6× 70 0.7× 13 862
Ebrahim Rahmani Moghadam Iran 13 568 1.4× 22 0.1× 107 0.7× 80 0.7× 94 0.9× 18 946
Shunyu Yao China 13 130 0.3× 55 0.3× 94 0.6× 22 0.2× 109 1.1× 27 531
Junyan Lu China 22 1.2k 3.0× 72 0.4× 30 0.2× 49 0.4× 62 0.6× 57 1.9k
Chao Yu China 29 1.3k 3.1× 64 0.3× 90 0.6× 26 0.2× 58 0.6× 72 2.0k
Guobing� Li China 23 805 1.9× 72 0.4× 96 0.6× 12 0.1× 115 1.2× 47 1.4k

Countries citing papers authored by Anna Niarakis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Anna Niarakis

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Niarakis. A scholar is included among the top collaborators of Anna Niarakis 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 Anna Niarakis. Anna Niarakis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Niarakis, Anna, et al.. (2024). MetaLo: metabolic analysis of Logical models extracted from molecular interaction maps. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 21(1).
2.
Hall, Benjamin A., et al.. (2024). Large-scale computational modelling of the M1 and M2 synovial macrophages in rheumatoid arthritis. npj Systems Biology and Applications. 10(1). 10–10. 9 indexed citations
3.
Augé, Franck, et al.. (2024). Building a modular and multi-cellular virtual twin of the synovial joint in Rheumatoid Arthritis. npj Digital Medicine. 7(1). 379–379. 6 indexed citations
4.
Mazein, Alexander, Márcio Luís Acencio, Irina Balaur, et al.. (2023). A guide for developing comprehensive systems biology maps of disease mechanisms: planning, construction and maintenance. SHILAP Revista de lepidopterología. 3. 1197310–1197310. 8 indexed citations
5.
Singh, Vidisha, Aurélien Naldi, Sylvain Soliman, & Anna Niarakis. (2023). A large-scale Boolean model of the rheumatoid arthritis fibroblast-like synoviocytes predicts drug synergies in the arthritic joint. npj Systems Biology and Applications. 9(1). 33–33. 12 indexed citations
6.
Soliman, Sylvain, et al.. (2023). Hybrid computational modeling highlights reverse warburg effect in breast cancer-associated fibroblasts. Computational and Structural Biotechnology Journal. 21. 4196–4206. 6 indexed citations
7.
Soudier, Paul, et al.. (2022). Toehold switch based biosensors for sensing the highly trafficked rosewood Dalbergia maritima. Synthetic and Systems Biotechnology. 7(2). 791–801. 3 indexed citations
8.
Soliman, Sylvain, et al.. (2022). Metabolic reprogramming in Rheumatoid Arthritis Synovial Fibroblasts: A hybrid modeling approach. PLoS Computational Biology. 18(12). e1010408–e1010408. 12 indexed citations
9.
Hemedan, Ahmed Abdelmonem, Anna Niarakis, Reinhard Schneider, & Marek Ostaszewski. (2022). Boolean modelling as a logic-based dynamic approach in systems medicine. Computational and Structural Biotechnology Journal. 20. 3161–3172. 24 indexed citations
10.
Laubenbacher, Reinhard, Anna Niarakis, Tomáš Helikar, et al.. (2022). Building digital twins of the human immune system: toward a roadmap. npj Digital Medicine. 5(1). 64–64. 87 indexed citations
11.
Niarakis, Anna, Martin Kuiper, Marek Ostaszewski, et al.. (2020). Setting the basis of best practices and standards for curation and annotation of logical models in biology—highlights of the [BC]2 2019 CoLoMoTo/SysMod Workshop. Briefings in Bioinformatics. 22(2). 1848–1859. 13 indexed citations
12.
Touré, Vasundra, Åsmund Flobak, Anna Niarakis, Steven Vercruysse, & Martin Kuiper. (2020). The status of causality in biological databases: data resources and data retrieval possibilities to support logical modeling. Briefings in Bioinformatics. 22(4). 17 indexed citations
13.
Ostaszewski, Marek, Stephan Gebel, Inna Kuperstein, et al.. (2018). Community-driven roadmap for integrated disease maps. Briefings in Bioinformatics. 20(2). 659–670. 37 indexed citations
14.
Niarakis, Anna, Luca Grieco, Romain Roncagalli, et al.. (2014). Computational Modeling of the Main Signaling Pathways Involved in Mast Cell Activation. Current topics in microbiology and immunology. 382. 69–93. 17 indexed citations
15.
Hesse, Anne-Marie, Bruno Iannascoli, Luca Grieco, et al.. (2013). Proteomic Analysis of the SH2Domain-containing Leukocyte Protein of 76 kDa (SLP76) Interactome. Molecular & Cellular Proteomics. 12(10). 2874–2889. 10 indexed citations
16.
Taylor, Mark, Susan A. Moore, Spyridon Mourtas, et al.. (2011). Effect of curcumin-associated and lipid ligand-functionalized nanoliposomes on aggregation of the Alzheimer's Aβ peptide. Nanomedicine Nanotechnology Biology and Medicine. 7(5). 541–550. 117 indexed citations
17.
Markoutsa, Eleni, Georgios Pampalakis, Anna Niarakis, et al.. (2010). Uptake and permeability studies of BBB-targeting immunoliposomes using the hCMEC/D3 cell line. European Journal of Pharmaceutics and Biopharmaceutics. 77(2). 265–274. 104 indexed citations
18.
Mourtas, Spyridon, Mara Canovi, Cristiano Zona, et al.. (2010). Curcumin-decorated nanoliposomes with very high affinity for amyloid-β1-42 peptide. Biomaterials. 32(6). 1635–1645. 186 indexed citations
19.
Pavlaki, Maria, et al.. (2009). Walker 256 cancer cells secrete tissue inhibitor of metalloproteinase-free metalloproteinase-9. Molecular and Cellular Biochemistry. 328(1-2). 189–199. 4 indexed citations
20.
Aletras, Alexios J., Panagiota Ravazoula, Anna Niarakis, et al.. (2007). Antiovarian antibodies in primary Sjogren’s syndrome. Rheumatology International. 27(12). 1149–1155. 10 indexed citations

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.

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