Soo Bin Park

435 total citations
36 papers, 286 citations indexed

About

Soo Bin Park is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Soo Bin Park has authored 36 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 10 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Soo Bin Park's work include Medical Imaging Techniques and Applications (5 papers), Orthopedic Surgery and Rehabilitation (4 papers) and Medical Imaging and Pathology Studies (4 papers). Soo Bin Park is often cited by papers focused on Medical Imaging Techniques and Applications (5 papers), Orthopedic Surgery and Rehabilitation (4 papers) and Medical Imaging and Pathology Studies (4 papers). Soo Bin Park collaborates with scholars based in South Korea, United States and Puerto Rico. Soo Bin Park's co-authors include Joon Young Choi, Jang Yoo, Byung‐Tae Kim, Seung Hwan Moon, Kyung-Han Lee, Yearn Seong Choe, Duk Soo Bae, Chae Hong Lim, Hyun Seok Song and Jung Mi Park and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Soo Bin Park

35 papers receiving 283 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Soo Bin Park South Korea 9 95 89 82 77 48 36 286
F. Busato Italy 7 56 0.6× 61 0.7× 130 1.6× 47 0.6× 25 0.5× 22 250
Eda Elverici Türkiye 10 52 0.5× 87 1.0× 29 0.4× 51 0.7× 25 0.5× 25 314
Kyoko Ono Japan 9 168 1.8× 37 0.4× 25 0.3× 35 0.5× 67 1.4× 24 320
P Bassi Italy 8 28 0.3× 66 0.7× 139 1.7× 141 1.8× 62 1.3× 24 299
Muhammad Mansha Pakistan 10 27 0.3× 109 1.2× 45 0.5× 39 0.5× 47 1.0× 38 358
Erik Soule United States 9 88 0.9× 114 1.3× 131 1.6× 37 0.5× 40 0.8× 43 298
Stefania Zamboni Italy 10 65 0.7× 173 1.9× 270 3.3× 61 0.8× 27 0.6× 36 455
M. Yamura Japan 6 188 2.0× 64 0.7× 86 1.0× 32 0.4× 40 0.8× 8 342
Thierry Schmitt France 7 25 0.3× 100 1.1× 139 1.7× 68 0.9× 60 1.3× 11 283

Countries citing papers authored by Soo Bin Park

Since Specialization
Citations

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

Fields of papers citing papers by Soo Bin Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soo Bin Park. 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 Soo Bin Park. The network helps show where Soo Bin Park may publish in the future.

Co-authorship network of co-authors of Soo Bin Park

This figure shows the co-authorship network connecting the top 25 collaborators of Soo Bin Park. A scholar is included among the top collaborators of Soo Bin Park 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 Soo Bin Park. Soo Bin Park 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.
Jo, Sungyang, Ji‐Hyun Lee, Jae Seung Kim, et al.. (2025). Enhancing 3D dopamine transporter imaging as a biomarker for Parkinson’s disease via self-supervised learning with diffusion models. Cell Reports Medicine. 6(7). 102207–102207.
2.
Choi, Joon Young, Sang‐Keun Woo, Chae Hong Lim, et al.. (2024). Prognostic Value of Radiomic Analysis Using Pre- and Post-Treatment 18F-FDG-PET/CT in Patients with Laryngeal Cancer and Hypopharyngeal Cancer. Journal of Personalized Medicine. 14(1). 71–71. 2 indexed citations
3.
Park, Soo Bin, Chae Hong Lim, Dong‐Il Chun, et al.. (2024). The usefulness of quantitative 99mTc-HMPAO WBC SPECT/CT for predicting lower extremity amputation in diabetic foot infection. Scientific Reports. 14(1). 9260–9260. 3 indexed citations
4.
Lim, Chae Hong, Joon Young Choi, Jun Hee Lee, et al.. (2023). Development and External Validation of 18F-FDG PET-Based Radiomic Model for Predicting Pathologic Complete Response after Neoadjuvant Chemotherapy in Breast Cancer. Cancers. 15(15). 3842–3842. 5 indexed citations
7.
Lim, Chae Hong, Hyun‐Sook Kim, Kyung‐Ann Lee, Jong‐Sun Kim, & Soo Bin Park. (2022). Clinical significance of quantitative bone SPECT/CT in the evaluation of hand and wrist pain in patients with rheumatic disease. Scientific Reports. 12(1). 327–327. 4 indexed citations
8.
Park, Soo Bin, et al.. (2021). Evaluation of acromial spur using ultrasonography. SHILAP Revista de lepidopterología. 24(1). 15–20. 2 indexed citations
9.
Park, Soo Bin, et al.. (2020). Difference in glenoid retroversion between two-dimensional axial computed tomography and three-dimensional reconstructed images. SHILAP Revista de lepidopterología. 23(2). 71–79. 4 indexed citations
10.
Lee, Eun Jeong, Ji-Young Kim, Jung Mi Park, et al.. (2020). Computed Tomography (CT) Protocols Associated with Cardiac and Bone Single-Photon Emission Computed Tomography/CT (SPECT/CT) in Korea. Nuclear Medicine and Molecular Imaging. 54(3). 139–146. 2 indexed citations
11.
Koh, In Jun, Christen E. Chalmers, Charles C. Lin, et al.. (2020). Posterior stabilized total knee arthroplasty reproduces natural joint laxity compared to normal in kinematically aligned total knee arthroplasty: a matched pair cadaveric study. Archives of Orthopaedic and Trauma Surgery. 141(1). 119–127. 11 indexed citations
12.
Chung, Yang‐Guk, et al.. (2020). Why locking plates for the proximal humerus do not fit well. Archives of Orthopaedic and Trauma Surgery. 142(2). 219–226. 8 indexed citations
14.
Park, Soo Bin, Kyum‐Yil Kwon, Jun‐Sang Sunwoo, et al.. (2018). Lack of association between dopamine transporter loss and non-motor symptoms in patients with Parkinson’s disease: a detailed PET analysis of 12 striatal subregions. Neurological Sciences. 40(2). 311–317. 27 indexed citations
15.
Park, Soo Bin, et al.. (2017). Focal Increased Tc-99m MDP Uptake in the Nutrient Foramen of the Femoral Diaphysis on Bone SPECT/CT. Nuclear Medicine and Molecular Imaging. 52(2). 162–165. 1 indexed citations
16.
Park, Soo Bin, Joon Young Choi, Eun Jeong Lee, et al.. (2012). Diagnostic Criteria on 18F-FDG PET/CT for Differentiating Benign from Malignant Focal Hypermetabolic Lesions of Parotid Gland. Nuclear Medicine and Molecular Imaging. 46(2). 95–101. 14 indexed citations
17.
Yoo, Jang, Joon Young Choi, Kyu Taek Lee, et al.. (2012). Prognostic Significance of Volume-based Metabolic Parameters by 18F-FDG PET/CT in Gallbladder Carcinoma. Nuclear Medicine and Molecular Imaging. 46(3). 201–206. 29 indexed citations
18.
Yoo, Jang, Joon Young Choi, Seung Hwan Moon, et al.. (2012). Prognostic Significance of Volume-Based Metabolic Parameters in Uterine Cervical Cancer Determined Using 18F-Fluorodeoxyglucose Positron Emission Tomography. International Journal of Gynecological Cancer. 22(7). 1226–1233. 58 indexed citations
19.
Choi, Joon Young, Jae Hoon Chung, Ji Young Lee, et al.. (2011). Differential Findings of Tc-99m Sestamibi Dual-Phase Parathyroid Scintigraphy Between Benign and Malignant Parathyroid Lesions in Patients with Primary Hyperparathyroidism. Nuclear Medicine and Molecular Imaging. 45(4). 276–284. 13 indexed citations
20.
Park, Soo Bin. (1968). Two-stage least-squares estimation with inequality constraints on the coefficients. University Microfilms eBooks. 1 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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