Witaya Sungkarat

55 total papers · 1.1k total citations
34 papers, 702 citations indexed

About

Witaya Sungkarat is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomaterials and Cognitive Neuroscience. According to data from OpenAlex, Witaya Sungkarat has authored 34 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Biomaterials and 7 papers in Cognitive Neuroscience. Recurrent topics in Witaya Sungkarat's work include Nanoparticle-Based Drug Delivery (9 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Advanced MRI Techniques and Applications (5 papers). Witaya Sungkarat is often cited by papers focused on Nanoparticle-Based Drug Delivery (9 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Advanced MRI Techniques and Applications (5 papers). Witaya Sungkarat collaborates with scholars based in Thailand, United States and United Kingdom. Witaya Sungkarat's co-authors include Manbir Singh, Jiraporn Laothamatas, Thiravat Hemachudha, Supaporn Wacharapluesadee, Shanop Shuangshoti, Gabriella Ugolini, Edward T. Auer, Lynne E. Bernstein, Darryl Hwang and Man Theerasilp and has published in prestigious journals such as The Lancet Neurology, Neuroreport and Journal of Oral and Maxillofacial Surgery.

In The Last Decade

Witaya Sungkarat

31 papers receiving 686 citations

Author Peers

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

Author						Papers	Cites
Witaya Sungkarat	232	160	151	114	102	34	702
Sybille Müller	189 0.8×	103 0.6×	65 0.4×	35 0.3×	159 1.6×	30	649
Brian Herron	53 0.2×	124 0.8×	253 1.7×	37 0.3×	194 1.9×	43	903
Rachel Corsini	96 0.4×	250 1.6×	185 1.2×	72 0.6×	8 0.1×	21	827
Peter Noble	34 0.1×	79 0.5×	28 0.2×	66 0.6×	26 0.3×	31	694
Sho K. Sugawara	136 0.6×	44 0.3×	377 2.5×	115 1.0×	49 0.5×	39	863
Thomas D. Green	81 0.3×	99 0.6×	64 0.4×	20 0.2×	34 0.3×	27	788
Frank Denaro	138 0.6×	139 0.9×	130 0.9×	9 0.1×	27 0.3×	42	705
Stefan H. Krieger	75 0.3×	93 0.6×	176 1.2×	109 1.0×	9 0.1×	42	847
Karen Dowell	193 0.8×	74 0.5×	110 0.7×	9 0.1×	219 2.1×	13	891
Daniela Latorre	17 0.1×	89 0.6×	203 1.3×	153 1.3×	25 0.2×	20	895

Countries citing papers authored by Witaya Sungkarat

Since Specialization

Citations

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

Fields of papers citing papers by Witaya Sungkarat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Witaya Sungkarat

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