Song‐Ee Baek

1.4k total citations · 1 hit paper
30 papers, 978 citations indexed

About

Song‐Ee Baek is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Hepatology. According to data from OpenAlex, Song‐Ee Baek has authored 30 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pulmonary and Respiratory Medicine and 8 papers in Hepatology. Recurrent topics in Song‐Ee Baek's work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and MRI in cancer diagnosis (5 papers). Song‐Ee Baek is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and MRI in cancer diagnosis (5 papers). Song‐Ee Baek collaborates with scholars based in South Korea, United States and China. Song‐Ee Baek's co-authors include Hugh F. Biller, Joon Seok Lim, Myeong‐Jin Kim, Nam Kyu Kim, William Lawson, Mi‐Suk Park, Jin‐Young Choi, Nieun Seo, Nak‐Hoon Son and Jaeseung Shin and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Song‐Ee Baek

28 papers receiving 947 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MRI Radiomics Model Predicts Pathologic Complete Response of Rectal Cancer Following Chemoradiotherapy

2022 140 citations Jaeseung Shin, Nieun Seo et al. Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Song‐Ee Baek South Korea	17	369	337	313	269	214	30	978
Toshiteru Tokunaga Japan	15	150 0.4×	248 0.7×	215 0.7×	655 2.4×	60 0.3×	55	853
Avi Eisbruch United States	7	442 1.2×	123 0.4×	190 0.6×	528 2.0×	33 0.2×	7	1.0k
Indranil Mallick India	18	176 0.5×	168 0.5×	238 0.8×	412 1.5×	21 0.1×	88	920
Laura Forzenigo Italy	17	152 0.4×	90 0.3×	282 0.9×	213 0.8×	470 2.2×	41	958
J.C. Horiot France	19	342 0.9×	438 1.3×	626 2.0×	538 2.0×	38 0.2×	54	1.6k
Annarita Pecchi Italy	15	187 0.5×	252 0.7×	261 0.8×	146 0.5×	95 0.4×	59	682
Suyash Kulkarni India	11	92 0.2×	157 0.5×	186 0.6×	281 1.0×	109 0.5×	86	531
Dario Poretti Italy	18	136 0.4×	208 0.6×	415 1.3×	425 1.6×	286 1.3×	50	909
J.F. Greskovich United States	20	121 0.3×	390 1.2×	480 1.5×	756 2.8×	24 0.1×	70	1.2k
Shiaki Oh Japan	27	643 1.7×	389 1.2×	320 1.0×	2.0k 7.3×	42 0.2×	116	2.2k

Countries citing papers authored by Song‐Ee Baek

Since Specialization

Citations

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

Fields of papers citing papers by Song‐Ee Baek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song‐Ee Baek

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lee, Sang Min, Song‐Ee Baek, Choong Wook Lee, Young Chul Kim, & Min-Jeong Kim. (2025). Foreign Body Ingestion: Radiologic Evaluation, Findings, and Management. Korean Journal of Radiology. 26(7). 638–638.

Lee, Doo Young, Jaeseung Shin, Sung‐Won Kim, et al.. (2023). Radiomics model versus 2017 revised international consensus guidelines for predicting malignant intraductal papillary mucinous neoplasms. European Radiology. 34(2). 1222–1231. 6 indexed citations

Choi, So Yeon, et al.. (2023). Effect of multimodal diagnostic approach using deep learning-based automated detection algorithm for active pulmonary tuberculosis. Scientific Reports. 13(1). 19794–19794. 4 indexed citations

Shin, Jaeseung, Nieun Seo, Song‐Ee Baek, et al.. (2022). MRI Radiomics Model Predicts Pathologic Complete Response of Rectal Cancer Following Chemoradiotherapy. Radiology. 303(2). 351–358. 140 indexed citations breakdown →

Kim, Chang Gon, Moonki Hong, Hei‐Cheul Jeung, et al.. (2022). Hyperprogressive disease during PD-1 blockade in patients with advanced gastric cancer. European Journal of Cancer. 172. 387–399. 5 indexed citations

Kim, Ji Hoon, et al.. (2021). Effect of deep learning-based assistive technology use on chest radiograph interpretation by emergency department physicians: a prospective interventional simulation-based study. BMC Medical Informatics and Decision Making. 21(1). 311–311. 25 indexed citations

Baek, Song‐Ee, et al.. (2020). Human Organic Anion Transporting Polypeptide 1B3 Applied as an MRI-Based Reporter Gene. Korean Journal of Radiology. 21(6). 726–726. 3 indexed citations

Rhee, Hyungjin, Eun‐Suk Cho, Ji Hae Nahm, et al.. (2020). Gadoxetic acid-enhanced MRI of macrotrabecular-massive hepatocellular carcinoma and its prognostic implications. Journal of Hepatology. 74(1). 109–121. 89 indexed citations

Chung, Yong Eun, Nieun Seo, Song‐Ee Baek, et al.. (2019). Metal implants influence CT scan parameters leading to increased local radiation exposure: A proposal for correction techniques. PLoS ONE. 14(8). e0221692–e0221692. 11 indexed citations

10.

Park, Hyung Soon, Hyo Song Kim, Seung‐Hoon Beom, et al.. (2018). Marked Loss of Muscle, Visceral Fat, or Subcutaneous Fat After Gastrectomy Predicts Poor Survival in Advanced Gastric Cancer: Single-Center Study from the CLASSIC Trial. Annals of Surgical Oncology. 25(11). 3222–3230. 76 indexed citations

11.

Beom, Seung‐Hoon, Yoon Young Choi, Song‐Ee Baek, et al.. (2018). Multidisciplinary treatment for patients with stage IV gastric cancer: the role of conversion surgery following chemotherapy. BMC Cancer. 18(1). 1116–1116. 51 indexed citations

12.

Chung, Yong Eun, Je Sung You, Hye‐Jeong Lee, et al.. (2015). Possible Contrast Media Reduction with Low keV Monoenergetic Images in the Detection of Focal Liver Lesions: A Dual-Energy CT Animal Study. PLoS ONE. 10(7). e0133170–e0133170. 19 indexed citations

13.

You, Je Sung, Yong Eun Chung, Song‐Ee Baek, Sung Phil Chung, & Myeong‐Jin Kim. (2015). Imaging Findings of Liposuction with an Emphasis on Postsurgical Complications. Korean Journal of Radiology. 16(6). 1197–1197. 19 indexed citations

14.

Lim, Joon Seok, Song‐Ee Baek, Sungmin Myoung, et al.. (2012). Perfusion MRI for the prediction of treatment response after preoperative chemoradiotherapy in locally advanced rectal cancer. European Radiology. 22(8). 1693–1700. 75 indexed citations

15.

Kang, Jeonghyun, Song‐Ee Baek, Tae‐Hyung Kim, et al.. (2011). Impact of fat obesity on laparoscopic total mesorectal excision: more reliable indicator than body mass index. International Journal of Colorectal Disease. 27(4). 497–505. 69 indexed citations

16.

Park, Mi‐Suk, Stuart Bentley–Hibbert, Song‐Ee Baek, et al.. (2011). Hepatocellular carcinoma: clinical and radiological findings in patients with chronic B viral hepatitis and chronic C viral hepatitis. Abdominal Imaging. 37(4). 591–594. 9 indexed citations

17.

Ahn, Sung Jun, Jin‐Young Choi, Myeong‐Jin Kim, et al.. (2010). Focal Eosinophilic Infiltration of the Liver. Journal of Computer Assisted Tomography. 35(1). 81–85. 9 indexed citations

18.

Baek, Song‐Ee, Mi‐Suk Park, Jin‐Young Choi, et al.. (2010). Characterisation of small hypoattenuating hepatic lesions in multi-detector CT (MDCT) in patients with underlying extrahepatic malignancy: added value of contrast-enhanced MR images. European Radiology. 20(12). 2853–2861. 1 indexed citations

19.

Baek, Song‐Ee, Min Jung Kim, Eun‐Kyung Kim, et al.. (2009). Effect of Clinical Information on Diagnostic Performance in Breast Sonography. Journal of Ultrasound in Medicine. 28(10). 1349–1356. 16 indexed citations

20.

Biller, Hugh F., et al.. (1981). Pectoralis Major Myocutaneous Island Flap in Head and Neck Surgery: Analysis of Complications in 42 Cases. Archives of Otolaryngology - Head and Neck Surgery. 107(1). 23–26. 77 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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