Tomás Sou

760 total citations
17 papers, 555 citations indexed

About

Tomás Sou is a scholar working on Pulmonary and Respiratory Medicine, Molecular Medicine and Food Science. According to data from OpenAlex, Tomás Sou has authored 17 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 6 papers in Molecular Medicine and 6 papers in Food Science. Recurrent topics in Tomás Sou's work include Inhalation and Respiratory Drug Delivery (10 papers), Antibiotic Resistance in Bacteria (6 papers) and Microencapsulation and Drying Processes (6 papers). Tomás Sou is often cited by papers focused on Inhalation and Respiratory Drug Delivery (10 papers), Antibiotic Resistance in Bacteria (6 papers) and Microencapsulation and Drying Processes (6 papers). Tomás Sou collaborates with scholars based in Sweden, Australia and United Kingdom. Tomás Sou's co-authors include David Morton, Lisa M. Kaminskas, Michelle P. McIntosh, Christel A. S. Bergström, Els Meeusen, Tri‐Hung Nguyen, Michael de Veer, Lena E. Friberg, Richard J. Prankerd and Mark Williamson and has published in prestigious journals such as Journal of Medicinal Chemistry, Trends in biotechnology and International Journal of Pharmaceutics.

In The Last Decade

Tomás Sou

17 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomás Sou Sweden 13 317 192 167 121 72 17 555
Chaeho Moon United States 17 300 0.9× 149 0.8× 139 0.8× 162 1.3× 44 0.6× 29 587
Khaled Almansour Saudi Arabia 12 65 0.2× 138 0.7× 70 0.4× 150 1.2× 26 0.4× 29 444
Danielle L. da Silva Brazil 13 107 0.3× 35 0.2× 68 0.4× 137 1.1× 112 1.6× 23 663
M.R. Visser Netherlands 13 44 0.1× 371 1.9× 96 0.6× 115 1.0× 21 0.3× 16 620
Mareike Klinger-Strobel Germany 10 93 0.3× 40 0.2× 33 0.2× 243 2.0× 48 0.7× 12 469
Patrice Gobin France 14 231 0.7× 153 0.8× 36 0.2× 87 0.7× 262 3.6× 16 755
Gladys E. Granero Argentina 10 35 0.1× 120 0.6× 34 0.2× 66 0.5× 43 0.6× 25 402
Helmy Yusuf Indonesia 11 28 0.1× 96 0.5× 37 0.2× 89 0.7× 41 0.6× 31 351
Hana Douafer France 6 60 0.2× 30 0.2× 24 0.1× 115 1.0× 20 0.3× 8 334
Joel Sequeira United States 9 60 0.2× 250 1.3× 48 0.3× 31 0.3× 34 0.5× 15 408

Countries citing papers authored by Tomás Sou

Since Specialization
Citations

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

Fields of papers citing papers by Tomás Sou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomás Sou

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

All Works

17 of 17 papers shown
1.
Soukarieh, Fadi, William Richardson, Manuel Romero, et al.. (2024). Design, Synthesis, and Evaluation of New 1H-Benzo[d]imidazole Based PqsR Inhibitors as Adjuvant Therapy for Pseudomonas aeruginosa Infections. Journal of Medicinal Chemistry. 67(2). 1008–1023. 5 indexed citations
2.
Gkoufa, Aikaterini, Tomás Sou, Ilias Karaiskos, et al.. (2022). Pulmonary and systemic pharmacokinetics of colistin methanesulfonate (CMS) and formed colistin following nebulisation of CMS among patients with ventilator-associated pneumonia. International Journal of Antimicrobial Agents. 59(6). 106588–106588. 12 indexed citations
3.
Soukarieh, Fadi, William Richardson, Manuel Romero, et al.. (2021). Design and Evaluation of New Quinazolin-4(3H)-one Derived PqsR Antagonists as Quorum Sensing Quenchers in Pseudomonas aeruginosa. ACS Infectious Diseases. 7(9). 2666–2685. 28 indexed citations
4.
5.
Sou, Tomás & Christel A. S. Bergström. (2020). Contemporary Formulation Development for Inhaled Pharmaceuticals. Journal of Pharmaceutical Sciences. 110(1). 66–86. 36 indexed citations
6.
Bue, Mats, et al.. (2020). Population pharmacokinetics of piperacillin in plasma and subcutaneous tissue in patients on continuous renal replacement therapy. International Journal of Infectious Diseases. 92. 133–140. 29 indexed citations
7.
Sou, Tomás, Jon Hansen, Edgars Liepinsh, et al.. (2020). Model‐Informed Drug Development for Antimicrobials: Translational PK and PK/PD Modeling to Predict an Efficacious Human Dose for Apramycin. Clinical Pharmacology & Therapeutics. 109(4). 1063–1073. 28 indexed citations
8.
Sou, Tomás, Irena Kukavica‐Ibrulj, Roger C. Lévesque, Lena E. Friberg, & Christel A. S. Bergström. (2020). Model-Informed Drug Development in Pulmonary Delivery: Semimechanistic Pharmacokinetic–Pharmacodynamic Modeling for Evaluation of Treatments against Chronic Pseudomonas aeruginosa Lung Infections. Molecular Pharmaceutics. 17(5). 1458–1469. 8 indexed citations
9.
Sou, Tomás, Irena Kukavica‐Ibrulj, Fadi Soukarieh, et al.. (2018). Model-Based Drug Development in Pulmonary Delivery: Pharmacokinetic Analysis of Novel Drug Candidates for Treatment of Pseudomonas aeruginosa Lung Infection. Journal of Pharmaceutical Sciences. 108(1). 630–640. 14 indexed citations
10.
Sou, Tomás & Christel A. S. Bergström. (2018). Automated assays for thermodynamic (equilibrium) solubility determination. Drug Discovery Today Technologies. 27. 11–19. 45 indexed citations
11.
Sou, Tomás, David Morton, Mark Williamson, et al.. (2015). Spray-Dried Influenza Antigen with Trehalose and Leucine Produces an Aerosolizable Powder Vaccine Formulation that Induces Strong Systemic and Mucosal Immunity after Pulmonary Administration. Journal of Aerosol Medicine and Pulmonary Drug Delivery. 28(5). 361–371. 38 indexed citations
12.
13.
Sou, Tomás, Michelle P. McIntosh, Lisa M. Kaminskas, Richard J. Prankerd, & David Morton. (2013). Designing a Multicomponent Spray-Dried Formulation Platform for Pulmonary Delivery of Biomacromolecules: The Effect of Polymers on the Formation of an Amorphous Matrix for Glassy State Stabilization of Biomacromolecules. Drying Technology. 31(13-14). 1451–1458. 22 indexed citations
14.
Sou, Tomás, et al.. (2012). The effect of amino acid excipients on morphology and solid-state properties of multi-component spray-dried formulations for pulmonary delivery of biomacromolecules. European Journal of Pharmaceutics and Biopharmaceutics. 83(2). 234–243. 122 indexed citations
15.
Sou, Tomás, et al.. (2011). Investigating the interactions of amino acid components on a mannitol-based spray-dried powder formulation for pulmonary delivery: A design of experiment approach. International Journal of Pharmaceutics. 421(2). 220–229. 50 indexed citations
16.
Sou, Tomás, Els Meeusen, Michael de Veer, et al.. (2011). New developments in dry powder pulmonary vaccine delivery. Trends in biotechnology. 29(4). 191–198. 91 indexed citations
17.
Kitano, Y., M. Wada, Tomás Sou, et al.. (2005). Electrode properties and microstructures of Ag-Sn based alloys used as anode in Li-ion batteries.. 26. 95–102. 1 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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