Ann Yi

3.2k total citations
70 papers, 2.4k citations indexed

About

Ann Yi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ann Yi has authored 70 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Radiology, Nuclear Medicine and Imaging, 26 papers in Pathology and Forensic Medicine and 20 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ann Yi's work include Breast Lesions and Carcinomas (25 papers), AI in cancer detection (19 papers) and Breast Cancer Treatment Studies (19 papers). Ann Yi is often cited by papers focused on Breast Lesions and Carcinomas (25 papers), AI in cancer detection (19 papers) and Breast Cancer Treatment Studies (19 papers). Ann Yi collaborates with scholars based in South Korea, United States and Peru. Ann Yi's co-authors include Jung Min Chang, Nariya Cho, Woo Kyung Moon, Hye Ryoung Koo, Seung Ja Kim, Su Hyun Lee, Won Hwa Kim, Hyeong‐Gon Moon, Min Sun Bae and Dong‐Young Noh and has published in prestigious journals such as PLoS ONE, Cancer Research and Radiology.

In The Last Decade

Ann Yi

70 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ann Yi South Korea 27 1.5k 792 493 485 440 70 2.4k
Ming‐De Lu China 42 1.6k 1.1× 856 1.1× 190 0.4× 167 0.3× 273 0.6× 225 5.5k
Tianan Jiang China 26 801 0.5× 319 0.4× 96 0.2× 394 0.8× 162 0.4× 166 3.0k
B. Poulet France 10 614 0.4× 406 0.5× 150 0.3× 17 0.0× 173 0.4× 21 2.6k
Clara Milikowski United States 15 266 0.2× 167 0.2× 195 0.4× 104 0.2× 224 0.5× 51 2.6k
Julie Cooke United Kingdom 22 517 0.3× 151 0.2× 142 0.3× 431 0.9× 204 0.5× 56 1.5k
Dar‐In Tai Taiwan 28 197 0.1× 135 0.2× 114 0.2× 31 0.1× 308 0.7× 99 5.6k
Daphne Mew United States 16 325 0.2× 1.5k 1.9× 78 0.2× 14 0.0× 138 0.3× 26 3.1k
Masahiro Kawashima Japan 21 226 0.2× 333 0.4× 89 0.2× 12 0.0× 177 0.4× 122 1.5k
Weigang Hu China 24 1.0k 0.7× 312 0.4× 39 0.1× 111 0.2× 73 0.2× 125 2.1k
Katsutoshi Sugimoto Japan 27 566 0.4× 498 0.6× 45 0.1× 26 0.1× 100 0.2× 120 2.2k

Countries citing papers authored by Ann Yi

Since Specialization
Citations

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

Fields of papers citing papers by Ann Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ann Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Ann Yi. A scholar is included among the top collaborators of Ann Yi 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 Ann Yi. Ann Yi 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.
Ha, Su Min, Myoung‐jin Jang, Inyoung Youn, et al.. (2024). Screening Outcomes of Mammography with AI in Dense Breasts: A Comparative Study with Supplemental Screening US. Radiology. 312(1). e233391–e233391. 7 indexed citations
2.
3.
Kim, Eun Sil, Nariya Cho, Soo‐Yeon Kim, et al.. (2020). Comparison of Abbreviated MRI and Full Diagnostic MRI in Distinguishing between Benign and Malignant Lesions Detected by Breast MRI: A Multireader Study. Korean Journal of Radiology. 22(3). 297–297. 14 indexed citations
4.
Lee, Eun Hye, Kyungran Ko, Bong Joo Kang, et al.. (2019). Prevalence of Women with Dense Breasts in Korea: Results from a Nationwide Cross-sectional Study. Cancer Research and Treatment. 51(4). 1295–1301. 23 indexed citations
5.
Kim, Won Hwa, Nariya Cho, Young Seon Kim, & Ann Yi. (2018). Mammographic density changes following discontinuation of tamoxifen in premenopausal women with oestrogen receptor-positive breast cancer. European Radiology. 28(8). 3176–3184. 7 indexed citations
6.
Park, Boyoung, Mina Suh, Kui Son Choi, et al.. (2017). Does breast density measured through population-based screening independently increase breast cancer risk in Asian females?. Clinical Epidemiology. Volume 10. 61–70. 31 indexed citations
7.
Zhang, Meihua, Hoe Suk Kim, Tiefeng Jin, Ann Yi, & Woo Kyung Moon. (2016). Ultrasound-guided photoacoustic imaging for the selective detection of EGFR-expressing breast cancer and lymph node metastases. Biomedical Optics Express. 7(5). 1920–1920. 24 indexed citations
8.
Kim, Won Hwa, Jung Min Chang, Hyeong‐Gon Moon, et al.. (2015). Comparison of the diagnostic performance of digital breast tomosynthesis and magnetic resonance imaging added to digital mammography in women with known breast cancers. European Radiology. 26(6). 1556–1564. 32 indexed citations
9.
Gweon, Hye Mi, Nariya Cho, Wonshik Han, et al.. (2014). Breast MR Imaging Screening in Women with a History of Breast Conservation Therapy. Radiology. 272(2). 366–373. 68 indexed citations
10.
Chang, Jung Min, In Ae Park, Su Hyun Lee, et al.. (2013). Stiffness of tumours measured by shear-wave elastography correlated with subtypes of breast cancer. European Radiology. 23(9). 2450–2458. 144 indexed citations
11.
12.
Bae, Min Sun, Woo Kyung Moon, Jung Min Chang, et al.. (2013). Breast Cancer Detected with Screening US: Reasons for Nondetection at Mammography. Radiology. 270(2). 369–377. 127 indexed citations
13.
Kim, Won Hwa, Woo Kyung Moon, Sun Mi Kim, et al.. (2013). Variability of breast density assessment in short-term reimaging with digital mammography. European Journal of Radiology. 82(10). 1724–1730. 11 indexed citations
14.
Lee, Su Hyun, Jung Min Chang, Won Hwa Kim, et al.. (2012). Differentiation of benign from malignant solid breast masses: comparison of two-dimensional and three-dimensional shear-wave elastography. European Radiology. 23(4). 1015–1026. 96 indexed citations
15.
Ha, Seunggyun, So Won Oh, Yu Kyeong Kim, Ann Yi, & Young Joon Ahn. (2012). Breast Sparganosis Incidentally Detected by FDG PET/CT. Nuclear Medicine and Molecular Imaging. 47(2). 130–133. 4 indexed citations
16.
Bae, Min Sun, Wonshik Han, Hye Ryoung Koo, et al.. (2011). Characteristics of breast cancers detected by ultrasound screening in women with negative mammograms. Cancer Science. 102(10). 1862–1867. 41 indexed citations
17.
Yi, Ann, Nariya Cho, Jung Min Chang, et al.. (2011). Sonoelastography for 1786 non-palpable breast masses: diagnostic value in the decision to biopsy. European Radiology. 22(5). 1033–1040. 72 indexed citations
18.
Yi, Ann, Ji Hoon Shin, Ho-Young Song, et al.. (2007). Esophageal achalasia: comparison of fluoroscopically-guided double vs. endoscopically-guided single balloon dilation. Abdominal Imaging. 33(2). 177–182. 9 indexed citations
19.
León‐Barúa, Raul, et al.. (1993). Comparison of three methods to obtain upper small bowel contents for culture.. PubMed. 88(6). 925–8. 17 indexed citations
20.
CARCELEN, Amador, Jesús L. Chirinos, & Ann Yi. (1989). Furazolidone and Chloramphenicol for Treatment of Typhoid Fever. Scandinavian Journal of Gastroenterology. 24(sup169). 19–23. 7 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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