Wipada Samprasit

37 total papers · 593 total citations
25 papers, 463 citations indexed

About

Wipada Samprasit is a scholar working on Pharmaceutical Science, Plant Science and Organic Chemistry. According to data from OpenAlex, Wipada Samprasit has authored 25 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pharmaceutical Science, 7 papers in Plant Science and 6 papers in Organic Chemistry. Recurrent topics in Wipada Samprasit's work include Drug Solubulity and Delivery Systems (8 papers), Natural Compound Pharmacology Studies (6 papers) and Crystallization and Solubility Studies (5 papers). Wipada Samprasit is often cited by papers focused on Drug Solubulity and Delivery Systems (8 papers), Natural Compound Pharmacology Studies (6 papers) and Crystallization and Solubility Studies (5 papers). Wipada Samprasit collaborates with scholars based in Thailand and United Kingdom. Wipada Samprasit's co-authors include Praneet Opanasopit, Prasert Akkaramongkolporn, Tanasait Ngawhirunpat, Theerasak Rojanarata, Ruchadaporn Kaomongkolgit, Monrudee Sukma, Michael T. Cook, Vitaliy V. Khutoryanskiy, Sukanya Settharaksa and Pornsak Sriamornsak and has published in prestigious journals such as SHILAP Revista de lepidopterología, Carbohydrate Polymers and International Journal of Pharmaceutics.

In The Last Decade

Wipada Samprasit

25 papers receiving 458 citations

Author Peers

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

Author						Papers	Cites
Wipada Samprasit	216	186	78	57	41	25	463
Adeola O. Adebisi	160 0.7×	190 1.0×	112 1.4×	45 0.8×	45 1.1×	31	507
Nalena Praphairaksit	227 1.1×	193 1.0×	98 1.3×	54 0.9×	30 0.7×	14	518
Pratchaya Tipduangta	162 0.8×	94 0.5×	103 1.3×	36 0.6×	39 1.0×	25	414
Miléna Lengyel	107 0.5×	209 1.1×	111 1.4×	80 1.4×	20 0.5×	17	530
Osvaldo Albuquerque Cavalcanti	199 0.9×	154 0.8×	62 0.8×	61 1.1×	31 0.8×	33	519
Carolina Gómez-Gaete	138 0.6×	212 1.1×	65 0.8×	96 1.7×	17 0.4×	19	533
Gjylije Hoti	176 0.8×	148 0.8×	110 1.4×	99 1.7×	34 0.8×	26	515
Dilshad Qureshi	141 0.7×	78 0.4×	102 1.3×	46 0.8×	34 0.8×	18	508
András József Laki	96 0.4×	173 0.9×	155 2.0×	74 1.3×	20 0.5×	16	524
Ajay Kumar	110 0.5×	172 0.9×	64 0.8×	65 1.1×	19 0.5×	35	487

Countries citing papers authored by Wipada Samprasit

Since Specialization

Citations

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

Fields of papers citing papers by Wipada Samprasit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wipada Samprasit

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