Bong‐Il Song

1.1k total citations
46 papers, 815 citations indexed

About

Bong‐Il Song is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Bong‐Il Song has authored 46 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pulmonary and Respiratory Medicine, 21 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Surgery. Recurrent topics in Bong‐Il Song's work include Radiomics and Machine Learning in Medical Imaging (16 papers), Medical Imaging Techniques and Applications (12 papers) and Gastric Cancer Management and Outcomes (6 papers). Bong‐Il Song is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (16 papers), Medical Imaging Techniques and Applications (12 papers) and Gastric Cancer Management and Outcomes (6 papers). Bong‐Il Song collaborates with scholars based in South Korea, United States and Brazil. Bong‐Il Song's co-authors include Hae Won Kim, Kyoung Sook Won, Jaetae Lee, Byeong‐Cheol Ahn, Shin Young Jeong, Sang‐Woo Lee, Yee Soo Chae, Sang-Woo Lee, Chae Moon Hong and Sae Jung Na and has published in prestigious journals such as PLoS ONE, Scientific Reports and American Journal of Roentgenology.

In The Last Decade

Bong‐Il Song

45 papers receiving 809 citations

Peers

Bong‐Il Song
Jae Seon Eo South Korea
Seo Hee Choi South Korea
Lawrence Saperstein United States
Michiel P. de Boer Netherlands
M. Lloret Spain
Jae Seon Eo South Korea
Bong‐Il Song
Citations per year, relative to Bong‐Il Song Bong‐Il Song (= 1×) peers Jae Seon Eo

Countries citing papers authored by Bong‐Il Song

Since Specialization
Citations

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

Fields of papers citing papers by Bong‐Il Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bong‐Il Song. 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 Bong‐Il Song. The network helps show where Bong‐Il Song may publish in the future.

Co-authorship network of co-authors of Bong‐Il Song

This figure shows the co-authorship network connecting the top 25 collaborators of Bong‐Il Song. A scholar is included among the top collaborators of Bong‐Il Song 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 Bong‐Il Song. Bong‐Il Song 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
3.
Park, Jae Seok, Yong Shik Kwon, Sun Hyo Park, et al.. (2023). Development of lung cancer risk prediction models based on F-18 FDG PET images. Annals of Nuclear Medicine. 37(10). 572–582. 2 indexed citations
4.
Lee, Jung-In, Ji Sun Lim, Jeong‐Ho Hong, et al.. (2022). Selective neurodegeneration of the hippocampus caused by chronic cerebral hypoperfusion: F-18 FDG PET study in rats. PLoS ONE. 17(2). e0262224–e0262224. 5 indexed citations
5.
Kim, Sung Hoon, Bong‐Il Song, Hae Won Kim, et al.. (2022). Prognostic value of the metabolic score obtained via [18F]FDG PET/CT and a new prognostic staging system for gastric cancer. Scientific Reports. 12(1). 20681–20681. 2 indexed citations
7.
Kim, Sung Hoon, Bong‐Il Song, Hae Won Kim, & Kyoung Sook Won. (2020). Comparison of Image Quality and Semi-quantitative Measurements with Digital PET/CT and Standard PET/CT from Different Vendors. Nuclear Medicine and Molecular Imaging. 54(5). 233–240. 6 indexed citations
8.
Song, Bong‐Il. (2020). Nomogram using F-18 fluorodeoxyglucose positron emission tomography/computed tomography for preoperative prediction of lymph node metastasis in gastric cancer. World Journal of Gastrointestinal Oncology. 12(4). 447–456. 11 indexed citations
9.
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
10.
Park, Jae‐Hyung, Jeong‐Ho Hong, Sang‐Woo Lee, et al.. (2019). The effect of chronic cerebral hypoperfusion on the pathology of Alzheimer's disease: A positron emission tomography study in rats. Scientific Reports. 9(1). 14102–14102. 78 indexed citations
11.
Kim, Hae Won, et al.. (2016). Diagnostic accuracy of 18F-FDG PET/CT for detecting synchronous advanced colorectal neoplasia in patients with gastric cancer. Medicine. 95(36). e4741–e4741. 6 indexed citations
12.
Hyun, Seung Hyup, Jae Seon Eo, Jeong Won Lee, et al.. (2016). Prognostic value of 18F-fluorodeoxyglucose positron emission tomography/computed tomography in patients with Barcelona Clinic Liver Cancer stages 0 and A hepatocellular carcinomas: a multicenter retrospective cohort study. European Journal of Nuclear Medicine and Molecular Imaging. 43(9). 1638–1645. 28 indexed citations
13.
Won, Kyoung Sook, et al.. (2014). Catheter Tract Implantation Metastasis Diagnosed by F-18 FDG PET/CT After Percutaneous Transhepatic Biliary Drainage for Hilar Cholangiocarcinoma. Nuclear Medicine and Molecular Imaging. 48(4). 326–327. 2 indexed citations
14.
Son, Seung Hyun, Sang‐Woo Lee, Bong‐Il Song, et al.. (2013). Recurrence of a functional adrenocortical oncocytoma of borderline malignant potential showing high FDG uptake on 18F-FDG PET/CT. Annals of Nuclear Medicine. 28(1). 69–73. 14 indexed citations
15.
Kim, Do‐Hoon, Seung Hyun Son, Choon-Young Kim, et al.. (2013). Prediction for Recurrence Using F-18 FDG PET/CT in Pathologic N0 Lung Adenocarcinoma After Curative Surgery. Annals of Surgical Oncology. 21(2). 589–596. 24 indexed citations
16.
Kim, Sung Hoon, et al.. (2013). Low-Dose Adefovir-Induced Hypophosphatemic Osteomalacia on Whole-Body Bone Scintigraphy. Nuclear Medicine and Molecular Imaging. 47(4). 294–296. 1 indexed citations
17.
Song, Bong‐Il, Chae Moon Hong, Sung Min Kang, et al.. (2011). Prognostic Value of Primary Tumor Uptake on F-18 FDG PET/CT in Patients with Invasive Ductal Breast Cancer. Nuclear Medicine and Molecular Imaging. 45(2). 117–124. 40 indexed citations
18.
Hong, Chae Moon, Sang-Woo Lee, Bong‐Il Song, et al.. (2010). Neurolymphomatosis on F-18 FDG PET/CT and MRI Findings: A Case Report. Nuclear Medicine and Molecular Imaging. 45(1). 76–78. 22 indexed citations
19.
Song, Bong‐Il, Sungmin Kang, Sang‐Woo Lee, et al.. (2009). Usefulness of F-18 FDG PET/CT in Adrenal Incidentaloma: Differential Diagnosis of Adrenal Metastasis in Oncologic Patients. Nuclear Medicine and Molecular Imaging. 43(5). 421–428. 3 indexed citations
20.
Kang, Sungmin, Bong‐Il Song, Sang-Woo Lee, et al.. (2009). Diagnostic Role of F-18 FDG PET/CT in the Follow-up of Patients with Colorectal Cancer: Comparison with Serum CEA, CA 19-9 Levels and Computed Tomography. Nuclear Medicine and Molecular Imaging. 43(2). 120–128. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026