Javad Shokri

72 total papers · 1.4k total citations
51 papers, 944 citations indexed

About

Javad Shokri is a scholar working on Pharmaceutical Science, Dermatology and Materials Chemistry. According to data from OpenAlex, Javad Shokri has authored 51 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Pharmaceutical Science, 16 papers in Dermatology and 11 papers in Materials Chemistry. Recurrent topics in Javad Shokri's work include Drug Solubulity and Delivery Systems (16 papers), Advancements in Transdermal Drug Delivery (12 papers) and Crystallization and Solubility Studies (11 papers). Javad Shokri is often cited by papers focused on Drug Solubulity and Delivery Systems (16 papers), Advancements in Transdermal Drug Delivery (12 papers) and Crystallization and Solubility Studies (11 papers). Javad Shokri collaborates with scholars based in Iran, United Kingdom and United States. Javad Shokri's co-authors include Ali Nokhodchi, Mohammad Barzegar-Jalali, Taravat Ghafourian, Yousef Javadzadeh, D Hassanzadeh, Khosro Adibkia, Saeed Ghanbarzadeh, Hamed Hamishehkar, Abolghasem Jouyban and William E. Acree and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Pharmaceutics and Colloids and Surfaces B Biointerfaces.

In The Last Decade

Javad Shokri

49 papers receiving 882 citations

Author Peers

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

Author Last Decade Papers Cites
Javad Shokri 529 215 192 112 103 51 944
Sompol Prakongpan 388 0.7× 136 0.6× 60 0.3× 107 1.0× 88 0.9× 30 898
Anahita Fathi Azarbayjani 190 0.4× 302 1.4× 64 0.3× 149 1.3× 46 0.4× 46 1.0k
Z.T. Chowhan 656 1.2× 185 0.9× 48 0.3× 108 1.0× 147 1.4× 42 881
Ebtessam A. Essa 579 1.1× 149 0.7× 128 0.7× 52 0.5× 96 0.9× 43 886
TAMOTSU KOIZUMI 333 0.6× 74 0.3× 61 0.3× 98 0.9× 64 0.6× 95 968
Minaketan Tripathy 197 0.4× 164 0.8× 104 0.5× 16 0.1× 112 1.1× 40 881
Subrata Mallick 609 1.2× 167 0.8× 54 0.3× 71 0.6× 102 1.0× 90 1.1k
Yun-Seok Rhee 658 1.2× 102 0.5× 78 0.4× 84 0.8× 139 1.3× 61 1.0k
Raisuddin Ali 370 0.7× 199 0.9× 15 0.1× 80 0.7× 104 1.0× 74 1.0k
Vikas Anand Saharan 569 1.1× 124 0.6× 40 0.2× 116 1.0× 113 1.1× 49 1.1k

Countries citing papers authored by Javad Shokri

Since Specialization
Citations

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

Fields of papers citing papers by Javad Shokri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javad Shokri

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