Arthur Cho

5.2k total citations · 1 hit paper
95 papers, 3.8k citations indexed

About

Arthur Cho is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Arthur Cho has authored 95 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Pulmonary and Respiratory Medicine, 30 papers in Radiology, Nuclear Medicine and Imaging and 27 papers in Oncology. Recurrent topics in Arthur Cho's work include Radiomics and Machine Learning in Medical Imaging (17 papers), Medical Imaging Techniques and Applications (16 papers) and Medical Imaging and Pathology Studies (10 papers). Arthur Cho is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (17 papers), Medical Imaging Techniques and Applications (16 papers) and Medical Imaging and Pathology Studies (10 papers). Arthur Cho collaborates with scholars based in South Korea, United States and China. Arthur Cho's co-authors include Debra A. Schmitz, Meiying Wang, Constantinos Sioutas, André E. Nel, Ning Li, Terry D. Oberley, John R. Froines, Chandan Misra, Joan M. Sempf and Mijin Yun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Arthur Cho

93 papers receiving 3.7k citations

Hit Papers

Ultrafine particulate pol... 2003 2026 2010 2018 2003 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Arthur Cho 1.5k 835 586 513 498 95 3.8k
Sean T. Duggan 988 0.7× 235 0.3× 203 0.3× 666 1.3× 441 0.9× 74 3.5k
L. Mortelmans 896 0.6× 1.2k 1.5× 1.6k 2.8× 181 0.4× 418 0.8× 56 4.0k
H Vanbilloen 1.2k 0.9× 413 0.5× 455 0.8× 284 0.6× 204 0.4× 48 2.6k
Thomas W. Hesterberg 1.4k 0.9× 1.9k 2.2× 230 0.4× 305 0.6× 144 0.3× 86 3.8k
Michiel Thomeer 921 0.6× 2.7k 3.3× 127 0.2× 511 1.0× 344 0.7× 75 4.6k
Carl J. Johnston 695 0.5× 1.7k 2.1× 1.2k 2.1× 737 1.4× 454 0.9× 80 4.0k
Ian Y. R. Adamson 1.2k 0.8× 2.8k 3.4× 216 0.4× 847 1.7× 339 0.7× 112 5.1k
Jerold A. Last 1.1k 0.8× 1.1k 1.4× 217 0.4× 1.2k 2.3× 146 0.3× 162 4.4k
Jeremy P. Langrish 3.0k 2.1× 324 0.4× 603 1.0× 194 0.4× 57 0.1× 63 4.8k
Bruce E. Lehnert 854 0.6× 2.1k 2.6× 2.0k 3.5× 1.6k 3.1× 568 1.1× 121 5.8k

Countries citing papers authored by Arthur Cho

Since Specialization
Citations

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

Fields of papers citing papers by Arthur Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arthur Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Arthur Cho. A scholar is included among the top collaborators of Arthur Cho 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 Arthur Cho. Arthur Cho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lee, Ji Yeon, et al.. (2024). Sleep efficiency in community-dwelling persons living with dementia: exploratory analysis using machine learning. Journal of Clinical Sleep Medicine. 21(2). 393–400. 1 indexed citations
3.
Lee, Hyeon Jeong, Cheol Ryong Ku, Arthur Cho, et al.. (2023). Acetate-Mediated Odorant Receptor OR51E2 Activation Results in Calcitonin Secretion in Parafollicular C-Cells: A Novel Diagnostic Target of Human Medullary Thyroid Cancer. Biomedicines. 11(6). 1688–1688. 7 indexed citations
4.
Abt, Evan R., Thuc Le, Arthur Cho, et al.. (2021). STING-driven interferon signaling triggers metabolic alterations in pancreas cancer cells visualized by [ 18 F]FLT PET imaging. Proceedings of the National Academy of Sciences. 118(36). 12 indexed citations
5.
Kwon, In Gyu, Chan Woo Kang, Jong Pil Park, et al.. (2020). Serum glucose excretion after Roux-en-Y gastric bypass: a potential target for diabetes treatment. Gut. 70(10). 1847–1856. 22 indexed citations
6.
Cho, Arthur, In Gyu Kwon, Soyoung Kim, Sung Hoon Noh, & Cheol Ryong Ku. (2020). Altered systematic glucose utilization after gastrectomy: correlation with weight loss. Surgery for Obesity and Related Diseases. 16(7). 900–907. 3 indexed citations
7.
Park, Ji Soo, Seung‐Hoon Beom, Hyo Song Kim, et al.. (2017). The prognostic value of volume-based parameters using 18F-FDG PET/CT in gastric cancer according to HER2 status. Gastric Cancer. 21(2). 213–224. 28 indexed citations
8.
Kim, Hyun Jeong, Arthur Cho, Mijin Yun, Young Tae Kim, & Won Jun Kang. (2017). Comparison of FDG PET/CT and MRI in lymph node staging of endometrial cancer. YUHSpace (Yonsei University Medical Library). 38 indexed citations
9.
Cho, Arthur, Sang Hyun Hwang, Narae Lee, et al.. (2017). Correlation between KRAS mutation and 18F-FDG uptake in stage IV colorectal cancer. Abdominal Radiology. 42(6). 1621–1626. 18 indexed citations
11.
Heo, Su Jin, Choong‐kun Lee, Kyu Yeon Hahn, et al.. (2015). A Case of von Hippel–Lindau Disease with Colorectal Adenocarcinoma, Renal Cell Carcinoma and Hemangioblastomas. Cancer Research and Treatment. 48(1). 409–414. 8 indexed citations
12.
Lee, Jeong Won, et al.. (2015). Relationship Between 18F-FDG Uptake on PET and Recurrence Patterns After Curative Surgical Resection in Patients with Advanced Gastric Cancer. Journal of Nuclear Medicine. 56(10). 1494–1500. 10 indexed citations
14.
Lee, Christopher Seungkyu, Arthur Cho, Kwan Sik Lee, & Sang Chul Lee. (2014). Association of high metabolic activity measured by positron emission tomography imaging with poor prognosis of choroidal melanoma. YUHSpace (Yonsei University Medical Library). 9 indexed citations
15.
Cho, Arthur, et al.. (2012). Feasibility of Measuring 3-Dimensional Renal Parenchymal Volume to Predict Postnatal Renal Function in Near-Term Fetuses With Congenital Hydronephrosis. Journal of Ultrasound in Medicine. 31(6). 955–962. 7 indexed citations
16.
Yun, Mijin, Arthur Cho, Jae Hoon Lee, et al.. (2010). Physiologic 18F-FDG Uptake in the Fallopian Tubes at Mid Cycle on PET/CT. Journal of Nuclear Medicine. 51(5). 682–685. 12 indexed citations
17.
Hong, Hye‐Suk, Mijin Yun, Arthur Cho, et al.. (2010). The Utility of F-18 FDG PET/CT in the Evaluation of Pancreatic Intraductal Papillary Mucinous Neoplasm. Clinical Nuclear Medicine. 35(10). 776–779. 46 indexed citations
18.
Cho, Arthur, et al.. (2009). The value of Dedicated Tc-99m MIBI Scintimammography in the Evaluation of Patients with Palpable Breast Lesions in Comparison with Mammography: Preliminary Result. Nuclear Medicine and Molecular Imaging. 43(1). 48–54. 1 indexed citations
19.
Yun, Mijin, et al.. (2007). FDG Uptake in the Pathologically Proven Papillary Thyroid Cancer. Nuclear Medicine and Molecular Imaging. 41(1). 22–29. 2 indexed citations
20.
Li, Ning, Constantinos Sioutas, Arthur Cho, et al.. (2003). Ultrafine particulate pollutants induce oxidative stress and mitochondrial damage.. Environmental Health Perspectives. 111(4). 455–460. 1658 indexed citations breakdown →

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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