Chanon Ngamsombat

92 total papers · 617 total citations
27 papers, 356 citations indexed

About

Chanon Ngamsombat is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Chanon Ngamsombat has authored 27 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pathology and Forensic Medicine and 5 papers in Neurology. Recurrent topics in Chanon Ngamsombat's work include Advanced Neuroimaging Techniques and Applications (13 papers), Advanced MRI Techniques and Applications (9 papers) and Multiple Sclerosis Research Studies (6 papers). Chanon Ngamsombat is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (13 papers), Advanced MRI Techniques and Applications (9 papers) and Multiple Sclerosis Research Studies (6 papers). Chanon Ngamsombat collaborates with scholars based in Thailand, United States and China. Chanon Ngamsombat's co-authors include Susie Y. Huang, Qiuyun Fan, Qiyuan Tian, Kawin Setsompop, Thomas Witzel, Berkin Bilgic̦, Jon̈athan R. Polimeni, Sasitorn Siritho, Naraporn Prayoonwiwat and Congyu Liao and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.

In The Last Decade

Chanon Ngamsombat

25 papers receiving 355 citations

Author Peers

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

Author						Papers	Cites
Chanon Ngamsombat	203	77	55	48	29	27	356
Shimpei Kato	177 0.9×	53 0.7×	46 0.8×	14 0.3×	23 0.8×	26	312
Sara Collorone	120 0.6×	215 2.8×	67 1.2×	33 0.7×	34 1.2×	29	350
Haruka Takeshige‐Amano	188 0.9×	42 0.5×	197 3.6×	62 1.3×	44 1.5×	26	398
Niamh Cawley	165 0.8×	187 2.4×	50 0.9×	44 0.9×	8 0.3×	16	346
Christina Roßmanith	143 0.7×	133 1.7×	61 1.1×	39 0.8×	16 0.6×	15	331
Mila Ćetković	64 0.3×	86 1.1×	141 2.6×	44 0.9×	40 1.4×	31	378
Davide Poggiali	71 0.3×	171 2.2×	69 1.3×	42 0.9×	15 0.5×	23	337
Fei Yang	59 0.3×	56 0.7×	31 0.6×	46 1.0×	27 0.9×	26	340
Gabriel Kocevar	150 0.7×	132 1.7×	24 0.4×	53 1.1×	14 0.5×	25	404
Sonia Francesca Calloni	56 0.3×	33 0.4×	93 1.7×	44 0.9×	25 0.9×	26	326

Countries citing papers authored by Chanon Ngamsombat

Since Specialization

Citations

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

Fields of papers citing papers by Chanon Ngamsombat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chanon Ngamsombat

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