Maciej Gajda

14 total papers · 615 total citations
14 papers, 507 citations indexed

About

Maciej Gajda is a scholar working on Pharmaceutical Science, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Maciej Gajda has authored 14 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pharmaceutical Science, 8 papers in Materials Chemistry and 3 papers in Molecular Biology. Recurrent topics in Maciej Gajda's work include Drug Solubulity and Delivery Systems (9 papers), Crystallization and Solubility Studies (7 papers) and Advanced Drug Delivery Systems (4 papers). Maciej Gajda is often cited by papers focused on Drug Solubulity and Delivery Systems (9 papers), Crystallization and Solubility Studies (7 papers) and Advanced Drug Delivery Systems (4 papers). Maciej Gajda collaborates with scholars based in Poland. Maciej Gajda's co-authors include Bożena Karolewicz, Janusz Pluta, Agata Górniak, Karol P. Nartowski, Artur Owczarek, I. Muchá, Patrycja Szymczyk‐Ziółkowska, Daniel Żakowiecki, Krzysztof Cal and Grzegorz Garbacz and has published in prestigious journals such as International Journal of Pharmaceutics, European Journal of Pharmaceutics and Biopharmaceutics and Journal of Pharmaceutical and Biomedical Analysis.

In The Last Decade

Maciej Gajda

14 papers receiving 494 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maciej Gajda 276 128 126 84 66 14 507
Thomas Wai-Yip Lee 259 0.9× 155 1.2× 66 0.5× 141 1.7× 55 0.8× 21 598
Gladys E. Granero 287 1.0× 130 1.0× 48 0.4× 99 1.2× 38 0.6× 25 551
Xiaoda Yuan 220 0.8× 159 1.2× 41 0.3× 78 0.9× 26 0.4× 11 453
Jingwen Weng 172 0.6× 122 1.0× 34 0.3× 102 1.2× 71 1.1× 20 496
Marta Rodriguez-Aller 200 0.7× 55 0.4× 107 0.8× 148 1.8× 10 0.2× 11 501
Khaled A. Khaled 281 1.0× 52 0.4× 78 0.6× 104 1.2× 9 0.1× 17 529
Pradip Thakor 163 0.6× 55 0.4× 39 0.3× 81 1.0× 32 0.5× 10 481
Kwang-Ho Cha 304 1.1× 130 1.0× 26 0.2× 78 0.9× 24 0.4× 16 462
Shuangying Gui 204 0.7× 62 0.5× 49 0.4× 140 1.7× 15 0.2× 28 547
Hafrún Friđriksdóttir 341 1.2× 129 1.0× 33 0.3× 112 1.3× 10 0.2× 9 466

Countries citing papers authored by Maciej Gajda

Since Specialization
Citations

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

Fields of papers citing papers by Maciej Gajda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maciej Gajda

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

All Works

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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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