Phanourios Tamamis

2.2k total citations
74 papers, 1.8k citations indexed

About

Phanourios Tamamis is a scholar working on Molecular Biology, Biomaterials and Immunology. According to data from OpenAlex, Phanourios Tamamis has authored 74 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 25 papers in Biomaterials and 12 papers in Immunology. Recurrent topics in Phanourios Tamamis's work include Supramolecular Self-Assembly in Materials (24 papers), Protein Structure and Dynamics (16 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). Phanourios Tamamis is often cited by papers focused on Supramolecular Self-Assembly in Materials (24 papers), Protein Structure and Dynamics (16 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). Phanourios Tamamis collaborates with scholars based in United States, Cyprus and Israel. Phanourios Tamamis's co-authors include Christodoulos A. Floudas, Asuka A. Orr, Georgios Archontis, Ehud Gazit, Meichen Wang, Lihi Adler‐Abramovich, Dimitrios Morikis, Timothy D. Phillips, Chris A. Kieslich and Yu Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and ACS Nano.

In The Last Decade

Phanourios Tamamis

73 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phanourios Tamamis United States 24 885 570 243 235 210 74 1.8k
G. Ekin Atilla‐Gokcumen United States 31 1.3k 1.4× 135 0.2× 232 1.0× 527 2.2× 193 0.9× 75 2.6k
Eunjoo Kim South Korea 27 1.0k 1.2× 153 0.3× 200 0.8× 104 0.4× 187 0.9× 116 2.3k
Stęphan T. Stern United States 28 1.0k 1.2× 945 1.7× 1.2k 4.9× 215 0.9× 114 0.5× 67 3.7k
Yi‐Lei Zhao China 31 1.6k 1.9× 275 0.5× 485 2.0× 686 2.9× 118 0.6× 190 3.5k
Francesco Musiani Italy 30 1.3k 1.5× 129 0.2× 598 2.5× 200 0.9× 93 0.4× 92 2.7k
Jong‐Min Kim South Korea 27 720 0.8× 115 0.2× 205 0.8× 72 0.3× 65 0.3× 67 2.0k
Eduardo P. Melo Portugal 26 1.2k 1.4× 162 0.3× 238 1.0× 196 0.8× 84 0.4× 70 2.2k
Rostyslav Stoika Ukraine 27 1.0k 1.2× 221 0.4× 296 1.2× 770 3.3× 95 0.5× 237 2.5k
Na Sun China 25 1.0k 1.1× 72 0.1× 120 0.5× 129 0.5× 185 0.9× 110 2.1k
Marco Cordani Spain 26 1.1k 1.3× 413 0.7× 709 2.9× 124 0.5× 107 0.5× 72 3.0k

Countries citing papers authored by Phanourios Tamamis

Since Specialization
Citations

This map shows the geographic impact of Phanourios Tamamis'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 Phanourios Tamamis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phanourios Tamamis more than expected).

Fields of papers citing papers by Phanourios Tamamis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phanourios Tamamis. 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 Phanourios Tamamis. The network helps show where Phanourios Tamamis may publish in the future.

Co-authorship network of co-authors of Phanourios Tamamis

This figure shows the co-authorship network connecting the top 25 collaborators of Phanourios Tamamis. A scholar is included among the top collaborators of Phanourios Tamamis 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 Phanourios Tamamis. Phanourios Tamamis 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.
Oladele, Johnson Olaleye, et al.. (2025). Caffeine, riboflavin and curcumin amended clays for PFAS binding. Computers & Chemical Engineering. 201. 109215–109215. 1 indexed citations
2.
Wang, Meichen, et al.. (2024). β-Lactoglobulin Enhances Clay and Activated Carbon Binding and Protection Properties for Cadmium and Lead. Industrial & Engineering Chemistry Research. 63(37). 16124–16140. 4 indexed citations
3.
Kim, Wantae, Runhua Han, J. Fang, et al.. (2024). Selective 8-oxo-rG stalling occurs in the catalytic core of polynucleotide phosphorylase (PNPase) during degradation. Proceedings of the National Academy of Sciences. 121(46). e2317865121–e2317865121. 3 indexed citations
4.
Oladele, Johnson Olaleye, et al.. (2024). Chlorophyll-Amended Organoclays for the Detoxification of Ochratoxin A. Toxins. 16(11). 479–479. 4 indexed citations
5.
Aviv, Moran, Asuka A. Orr, Rajkumar Misra, et al.. (2021). Modification of a Single Atom Affects the Physical Properties of Double Fluorinated Fmoc-Phe Derivatives. International Journal of Molecular Sciences. 22(17). 9634–9634. 16 indexed citations
6.
Chen, Yu, Yuqin Yang, Asuka A. Orr, et al.. (2021). Self‐Assembled Peptide Nano‐Superstructure towards Enzyme Mimicking Hydrolysis. Angewandte Chemie. 133(31). 17301–17307. 19 indexed citations
7.
Tao, Kai, Asuka A. Orr, Wen Hu, et al.. (2021). EDTA-mimicking amino acid–metal ion coordination for multifunctional packings. Journal of Materials Chemistry A. 9(36). 20385–20394. 11 indexed citations
8.
9.
Orr, Asuka A., Meichen Wang, Burcu Beykal, et al.. (2021). Combining Experimental Isotherms, Minimalistic Simulations, and a Model to Understand and Predict Chemical Adsorption onto Montmorillonite Clays. ACS Omega. 6(22). 14090–14103. 10 indexed citations
10.
Chen, Yu, Yuqin Yang, Asuka A. Orr, et al.. (2021). Self‐Assembled Peptide Nano‐Superstructure towards Enzyme Mimicking Hydrolysis. Angewandte Chemie International Edition. 60(31). 17164–17170. 83 indexed citations
11.
Orr, Asuka A., et al.. (2021). Protection of Oxygen-Sensitive Enzymes by Peptide Hydrogel. ACS Nano. 15(4). 6530–6539. 37 indexed citations
12.
Wang, Meichen, Asuka A. Orr, Colleen M. Casey, et al.. (2020). Enhanced adsorption of per- and polyfluoroalkyl substances (PFAS) by edible, nutrient-amended montmorillonite clays. Water Research. 188. 116534–116534. 104 indexed citations
13.
Kokotidou, Chrysoula, Sai Vamshi R. Jonnalagadda, Asuka A. Orr, et al.. (2019). Designer Amyloid Cell-Penetrating Peptides for Potential Use as Gene Transfer Vehicles. Biomolecules. 10(1). 7–7. 18 indexed citations
14.
Yoon, Kyungsil, et al.. (2019). Activation of COUP-TFI by a Novel Diindolylmethane Derivative. Cells. 8(3). 220–220. 14 indexed citations
15.
Jin, Un-Ho, Hyejin Park, Xi Li, et al.. (2018). Structure-Dependent Modulation of Aryl Hydrocarbon Receptor-Mediated Activities by Flavonoids. Toxicological Sciences. 164(1). 205–217. 88 indexed citations
17.
Orr, Asuka A., et al.. (2018). Elucidating the multi-targeted anti-amyloid activity and enhanced islet amyloid polypeptide binding of β-wrapins. Computers & Chemical Engineering. 116. 322–332. 14 indexed citations
18.
Jonnalagadda, Sai Vamshi R., Asuka A. Orr, Estelle Mossou, et al.. (2017). Computational design of amyloid self-assembling peptides bearing aromatic residues and the cell adhesive motif Arg-Gly-Asp. Molecular Systems Design & Engineering. 2(3). 321–335. 15 indexed citations
19.
Hoyer, Wolfgang, et al.. (2016). Uncovering the Binding and Specificity of .BETA.-Wrapins for Amyloid-.BETA. and .ALPHA.-Synuclein. The Journal of Physical Chemistry B. 120(50). 12794. 2 indexed citations
20.
Tamamis, Phanourios, Lihi Adler‐Abramovich, Meital Reches, et al.. (2009). Self-Assembly of Phenylalanine Oligopeptides: Insights from Experiments and Simulations. Biophysical Journal. 96(12). 5020–5029. 216 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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