Mario Maio

829 total citations
10 papers, 686 citations indexed

About

Mario Maio is a scholar working on Pharmaceutical Science, Pediatrics, Perinatology and Child Health and Molecular Biology. According to data from OpenAlex, Mario Maio has authored 10 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pharmaceutical Science, 4 papers in Pediatrics, Perinatology and Child Health and 3 papers in Molecular Biology. Recurrent topics in Mario Maio's work include Drug Solubulity and Delivery Systems (7 papers), Pharmaceutical studies and practices (4 papers) and Enzyme Catalysis and Immobilization (2 papers). Mario Maio is often cited by papers focused on Drug Solubulity and Delivery Systems (7 papers), Pharmaceutical studies and practices (4 papers) and Enzyme Catalysis and Immobilization (2 papers). Mario Maio collaborates with scholars based in Germany, Denmark and France. Mario Maio's co-authors include Christopher J. H. Porter, Eduardo Jule, Delphine Marchaud, Hywel D. Williams, Anette Müllertz, Karen Kleberg, Frédéric Carrière, Annabel Igonin, Ross Blundell and Marilyn Calderone and has published in prestigious journals such as Annals of Oncology, Pharmaceutical Research and Journal of Pharmaceutical Sciences.

In The Last Decade

Mario Maio

10 papers receiving 675 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Maio Germany 8 468 142 109 102 101 10 686
Cordula Stillhart Switzerland 17 522 1.1× 160 1.1× 123 1.1× 167 1.6× 167 1.7× 32 883
Kerstin J. Frank Germany 7 502 1.1× 203 1.4× 87 0.8× 45 0.4× 97 1.0× 7 582
Hanna Kortejärvi Finland 12 259 0.6× 114 0.8× 80 0.7× 51 0.5× 76 0.8× 15 465
Vilayat A. Sayeed United States 16 297 0.6× 141 1.0× 123 1.1× 120 1.2× 14 0.1× 35 799
Karin M. Rosenblatt Germany 9 443 0.9× 174 1.2× 70 0.6× 30 0.3× 87 0.9× 9 567
Amita Joshi India 11 409 0.9× 72 0.5× 46 0.4× 24 0.2× 39 0.4× 18 664
Claire L. McEvoy Australia 8 439 0.9× 101 0.7× 114 1.0× 82 0.8× 111 1.1× 9 634
Rodrigo Cristofoletti United States 19 508 1.1× 195 1.4× 154 1.4× 174 1.7× 124 1.2× 88 1.1k
Paulo Renato de Oliveira Brazil 16 214 0.5× 131 0.9× 168 1.5× 34 0.3× 42 0.4× 61 690
Matthew Crum Australia 5 309 0.7× 81 0.6× 81 0.7× 37 0.4× 86 0.9× 5 432

Countries citing papers authored by Mario Maio

Since Specialization
Citations

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

Fields of papers citing papers by Mario Maio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Maio

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

All Works

10 of 10 papers shown
1.
2.
Sassene, Philip, Karen Kleberg, Hywel D. Williams, et al.. (2014). Toward the Establishment of Standardized In Vitro Tests for Lipid-Based Formulations, Part 6: Effects of Varying Pancreatin and Calcium Levels. The AAPS Journal. 16(6). 1344–1357. 55 indexed citations
3.
Williams, Hywel D., Philip Sassene, Karen Kleberg, et al.. (2014). Toward the Establishment of Standardized In Vitro Tests for Lipid-Based Formulations. 5. Lipolysis of Representative Formulations by Gastric Lipase. Pharmaceutical Research. 32(4). 1279–1287. 54 indexed citations
4.
Williams, Hywel D., Philip Sassene, Karen Kleberg, et al.. (2012). Toward the Establishment of Standardized In Vitro Tests for Lipid-Based Formulations, Part 1: Method Parameterization and Comparison of In Vitro Digestion Profiles Across a Range of Representative Formulations. Journal of Pharmaceutical Sciences. 101(9). 3360–3380. 219 indexed citations
5.
6.
Kanaujia, Parijat, Grace Lau, Wai Kiong Ng, et al.. (2011). Nanoparticle Formation and Growth During In Vitro Dissolution of Ketoconazole Solid Dispersion. Journal of Pharmaceutical Sciences. 100(7). 2876–2885. 54 indexed citations
7.
Kanaujia, Parijat, Grace Lau, Wai Kiong Ng, et al.. (2011). Investigating the effect of moisture protection on solid-state stability and dissolution of fenofibrate and ketoconazole solid dispersions using PXRD, HSDSC and Raman microscopy. Drug Development and Industrial Pharmacy. 37(9). 1026–1035. 34 indexed citations
8.
Stegemann, Sven, et al.. (2010). Geriatric drug therapy: Neglecting the inevitable majority. Ageing Research Reviews. 9(4). 384–398. 106 indexed citations
9.
Widjaja, Effendi, Parijat Kanaujia, Grace Lau, et al.. (2010). Detection of trace crystallinity in an amorphous system using Raman microscopy and chemometric analysis. European Journal of Pharmaceutical Sciences. 42(1-2). 45–54. 55 indexed citations
10.
Maio, Mario, Guillaume Monneret, D. Stamm, Jacques Bienvenu, & D. Floret. (1996). Procalcitonin can Fail to Rise in Severe Bacterial Infections 69. Pediatric Research. 40(3). 526–526. 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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