Arunnit Boonrod

693 total citations
20 papers, 452 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 452 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), AI in cancer detection (3 papers) and Thyroid Cancer Diagnosis and Treatment (3 papers). Arunnit Boonrod is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (3 papers) and Thyroid Cancer Diagnosis and Treatment (3 papers). Arunnit Boonrod collaborates with scholars based in Thailand, United States and Japan. Arunnit Boonrod's co-authors include Kenneth A. Philbrick, Bradley J. Erickson, Atefeh Zeinoddini, Alexander D. Weston, Zeynettin Akkus, Jason Cai, Warinthorn Phuttharak, Panagiotis Korfiatis, Petro Kostandy and Naoki Takahashi 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 446 citations

Peers

Arunnit Boonrod

RNMI

SURGE

EDM

Harshawn Malhi United States

Stavros Tsantis Greece

Tsung‐Ying Ho Taiwan

Jason Cai United States

Hiroyuki Sugimori Japan

Kyong Joon Lee South Korea

Keewon Shin South Korea

Abhilash Rakkunedeth Hareendranathan Canada

Deniz Alış Türkiye

Jeremy Webb United States

Harshawn Malhi United States

Arunnit Boonrod

196 ×0.8

RNMI

78 ×0.8

96 ×1.1

SURGE

67 ×1.0

72 ×1.2

EDM

Citations per year, relative to Arunnit Boonrod Arunnit Boonrod (= 1×) peers Harshawn Malhi

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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20 of 20 papers shown

Titapun, Attapol, et al.. (2023). BiTNet: Hybrid deep convolutional model for ultrasound image analysis of human biliary tract and its applications. Artificial Intelligence in Medicine. 139. 102539–102539. 6 indexed citations

Boonrod, Arunnit, et al.. (2023). The diagnostic accuracy of mammography and ultrasonography for recurrent breast cancer after breast conserving treatment. European Journal of Radiology Open. 11. 100514–100514.

Boonrod, Arunnit, et al.. (2022). Etiology and Factors Related Outcomes of Longitudinally Extensive Transverse Myelitis in Thailand. Neurology. 99(23_Supplement_2). 2 indexed citations

Ramazanian, Taghi, et al.. (2022). The Turtle Neck Sign: Identification of Severe Retracted Distal Biceps Tendon Rupture. Orthopaedic Journal of Sports Medicine. 10(1). 941670086–941670086.

Boonrod, Arunnit, et al.. (2022). Artificial Intelligence (AI) Vs. Human in Hip Fracture Detection. SSRN Electronic Journal. 4 indexed citations

Boonrod, Arunnit, Zeynettin Akkus, M. Regina Castro, et al.. (2021). Thyroid Nodule Size as a Predictor of Malignancy in Follicular and Hurthle Neoplasms. Asian Pacific Journal of Cancer Prevention. 22(8). 2597–2602. 10 indexed citations

Cai, Jason, Zeynettin Akkus, Kenneth A. Philbrick, et al.. (2020). Fully Automated Segmentation of Head CT Neuroanatomy Using Deep Learning. Radiology Artificial Intelligence. 2(5). e190183–e190183. 29 indexed citations

Boonrod, Arunnit, et al.. (2020). Evaluation of Perienhancing Area in Differentiation between Glioblastoma and Solitary Brain Metastasis. Asian Pacific Journal of Cancer Prevention. 21(9). 2525–2530. 2 indexed citations

Weston, Alexander D., Panagiotis Korfiatis, Kenneth A. Philbrick, et al.. (2020). Complete abdomen and pelvis segmentation using U‐net variant architecture. Medical Physics. 47(11). 5609–5618. 22 indexed citations

10.

Akkus, Zeynettin, Jason Cai, Arunnit Boonrod, et al.. (2019). A Survey of Deep-Learning Applications in Ultrasound: Artificial Intelligence–Powered Ultrasound for Improving Clinical Workflow. Journal of the American College of Radiology. 16(9). 1318–1328. 206 indexed citations

11.

Phuttharak, Warinthorn, et al.. (2019). Interrater Reliability of Various Thyroid Imaging Reporting and Data System (TIRADS) Classifications for Differentiating Benign from Malignant Thyroid Nodules. Asian Pacific Journal of Cancer Prevention. 20(4). 1283–1288. 23 indexed citations

12.

Philbrick, Kenneth A., Alexander D. Weston, Zeynettin Akkus, et al.. (2019). RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning. Journal of Digital Imaging. 32(4). 571–581. 78 indexed citations

13.

Akkus, Zeynettin, Arunnit Boonrod, Md Mahfuzur Rahman Siddiquee, et al.. (2019). Reduction of unnecessary thyroid biopsies using deep learning. 31–31. 8 indexed citations

14.

Boonrod, Arunnit, et al.. (2019). Preoperative Ultrasound Evaluation of the Semitendinosus Tendon for Anterior Cruciate Ligament Reconstruction. Orthopaedic Journal of Sports Medicine. 7(1). 1809869742–1809869742. 5 indexed citations

15.

Sugaya, Hiroyuki, et al.. (2018). Tuberculous Distal Biceps Tendon Rupture: Case Report and Review of the Literature. SHILAP Revista de lepidopterología. 2018(1). 6374784–6374784. 1 indexed citations

16.

Boonrod, Arunnit, et al.. (2018). Acromioclavicular joint dislocation: a Dog Bone button fixation alone versus Dog Bone button fixation augmented with acromioclavicular repair—a finite element analysis study. European Journal of Orthopaedic Surgery & Traumatology. 28(6). 1095–1101. 14 indexed citations

17.

Boonrod, Arunnit, Akifumi Hagiwara, Masaaki Hori, et al.. (2018). Reduced visualization of cerebral infarction on diffusion-weighted images with short diffusion times. Neuroradiology. 60(9). 979–982. 14 indexed citations

18.

Phuttharak, Warinthorn, et al.. (2018). Preoperative MRI evaluation of meningioma consistency: A focus on detailed architectures. Clinical Neurology and Neurosurgery. 169. 178–184. 19 indexed citations

19.

Phuttharak, Warinthorn, et al.. (2017). The roles of the diffusion‐weighted imaging in orbital masses. Journal of Medical Imaging and Radiation Oncology. 61(6). 753–758. 5 indexed citations

20.

Boonrod, Arunnit, et al.. (2016). Superior Patellar Dislocation Misdiagnosed as Patellar Tendon Rupture: The Value of Ultrasonography. SHILAP Revista de lepidopterología. 2016. 1–4. 4 indexed citations

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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