Sevgi Takka

30 total papers · 919 total citations
25 papers, 724 citations indexed

About

Sevgi Takka is a scholar working on Pharmaceutical Science, Biomaterials and Analytical Chemistry. According to data from OpenAlex, Sevgi Takka has authored 25 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pharmaceutical Science, 4 papers in Biomaterials and 4 papers in Analytical Chemistry. Recurrent topics in Sevgi Takka's work include Drug Solubulity and Delivery Systems (15 papers), Advanced Drug Delivery Systems (13 papers) and Analytical Methods in Pharmaceuticals (4 papers). Sevgi Takka is often cited by papers focused on Drug Solubulity and Delivery Systems (15 papers), Advanced Drug Delivery Systems (13 papers) and Analytical Methods in Pharmaceuticals (4 papers). Sevgi Takka collaborates with scholars based in Türkiye and United States. Sevgi Takka's co-authors include Füsun Acartürk, Sibel Ilbasmiş-Tamer, Fatmanur Tuğcu-Demiröz, Adel Sakr, Mustafa Ark, İmran Vural, Murat Türkoğlu, Gülçin Akca and Tayfun Alaçam and has published in prestigious journals such as Journal of Controlled Release, International Journal of Pharmaceutics and European Journal of Pharmaceutics and Biopharmaceutics.

In The Last Decade

Sevgi Takka

24 papers receiving 682 citations

Author Peers

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

Author Last Decade Papers Cites
Sevgi Takka 422 182 121 109 91 25 724
Cristina Maderuelo 363 0.9× 146 0.8× 87 0.7× 83 0.8× 122 1.3× 16 720
Jian‐Hwa Guo 414 1.0× 124 0.7× 76 0.6× 102 0.9× 108 1.2× 20 783
Lorena Segale 371 0.9× 167 0.9× 115 1.0× 174 1.6× 139 1.5× 39 853
Vijay B. Sutariya 370 0.9× 138 0.8× 74 0.6× 99 0.9× 125 1.4× 16 748
P. M. Satturwar 392 0.9× 298 1.6× 109 0.9× 170 1.6× 66 0.7× 25 884
MASAYASU SUGIHARA 305 0.7× 177 1.0× 99 0.8× 75 0.7× 96 1.1× 31 660
Mohsen A. Bayomi 441 1.0× 197 1.1× 75 0.6× 181 1.7× 95 1.0× 31 803
Abbas Akhgari 457 1.1× 217 1.2× 97 0.8× 95 0.9× 127 1.4× 50 877
Iman Saad Ahmed 433 1.0× 140 0.8× 101 0.8× 117 1.1× 79 0.9× 42 812
Riccardo Cameroni 418 1.0× 264 1.5× 133 1.1× 118 1.1× 127 1.4× 37 784

Countries citing papers authored by Sevgi Takka

Since Specialization
Citations

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

Fields of papers citing papers by Sevgi Takka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sevgi Takka

This figure shows the co-authorship network connecting the top 25 collaborators of Sevgi Takka. A scholar is included among the top collaborators of Sevgi Takka 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 Sevgi Takka. Sevgi Takka 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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