Arunnit Boonrod

25 total papers · 680 total citations
20 papers, 443 citations indexed

About

Arunnit Boonrod is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Arunnit Boonrod has authored 20 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Epidemiology. Recurrent topics in Arunnit Boonrod's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Thyroid Cancer Diagnosis and Treatment (3 papers) and AI in cancer detection (3 papers). Arunnit Boonrod is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Thyroid Cancer Diagnosis and Treatment (3 papers) and AI in cancer detection (3 papers). Arunnit Boonrod collaborates with scholars based in Thailand, United States and Japan. Arunnit Boonrod's co-authors include Bradley J. Erickson, Kenneth A. Philbrick, Atefeh Zeinoddini, Zeynettin Akkus, Alexander D. Weston, Jason Cai, Warinthorn Phuttharak, Naoki Takahashi, Panagiotis Korfiatis and Petro Kostandy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Medical Physics.

In The Last Decade

Arunnit Boonrod

18 papers receiving 438 citations

Author Peers

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

Author						Papers	Cites
Arunnit Boonrod	231	97	89	67	58	20	443
Jeevesh Kapur	168 0.7×	83 0.9×	73 0.8×	68 1.0×	42 0.7×	32	461
Yinhui Deng	172 0.7×	44 0.5×	57 0.6×	73 1.1×	124 2.1×	19	446
Harshawn Malhi	195 0.8×	77 0.8×	96 1.1×	67 1.0×	72 1.2×	14	437
Keewon Shin	197 0.9×	119 1.2×	61 0.7×	130 1.9×	15 0.3×	21	447
Cheng Zhao	132 0.6×	70 0.7×	95 1.1×	30 0.4×	156 2.7×	36	409
Lei Cui	234 1.0×	50 0.5×	50 0.6×	65 1.0×	17 0.3×	27	395
Martina Caruso	164 0.7×	53 0.5×	133 1.5×	51 0.8×	23 0.4×	41	460
Shujun Liang	307 1.3×	180 1.9×	25 0.3×	70 1.0×	63 1.1×	20	459
Tal Zeevi	264 1.1×	50 0.5×	38 0.4×	73 1.1×	17 0.3×	47	421
Akshayaa Vaidyanathan	264 1.1×	78 0.8×	47 0.5×	83 1.2×	8 0.1×	18	465

Countries citing papers authored by Arunnit Boonrod

Since Specialization

Citations

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

Fields of papers citing papers by Arunnit Boonrod

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arunnit Boonrod

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