Yiming Gao

1.8k total citations
63 papers, 899 citations indexed

About

Yiming Gao is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Yiming Gao has authored 63 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Pathology and Forensic Medicine and 13 papers in Oncology. Recurrent topics in Yiming Gao's work include Breast Lesions and Carcinomas (17 papers), MRI in cancer diagnosis (15 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Yiming Gao is often cited by papers focused on Breast Lesions and Carcinomas (17 papers), MRI in cancer diagnosis (15 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Yiming Gao collaborates with scholars based in United States, China and Hong Kong. Yiming Gao's co-authors include Samantha L. Heller, Linda Moy, James S. Babb, Amy N. Melsaether, Laura Heacock, Sungheon Kim, Hildegard K. Toth, Kristine Pysarenko, Elena F. Brachtel and Priscilla J. Slanetz and has published in prestigious journals such as PLoS ONE, Radiology and Chemical Engineering Journal.

In The Last Decade

Yiming Gao

60 papers receiving 883 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiming Gao United States 17 424 226 175 169 152 63 899
Brandi T. Nicholson United States 15 376 0.9× 264 1.2× 255 1.5× 207 1.2× 233 1.5× 25 945
Nina S. Vincoff United States 11 162 0.4× 167 0.7× 109 0.6× 179 1.1× 180 1.2× 20 499
Jordana Phillips United States 15 432 1.0× 140 0.6× 416 2.4× 178 1.1× 145 1.0× 46 838
Wende Logan-Young United States 10 287 0.7× 158 0.7× 192 1.1× 134 0.8× 131 0.9× 16 658
Sujata V. Ghate United States 13 428 1.0× 175 0.8× 188 1.1× 149 0.9× 366 2.4× 29 998
Patricia Whelehan United Kingdom 16 1.1k 2.6× 190 0.8× 238 1.4× 203 1.2× 282 1.9× 54 1.7k
Elizabeth Salisbury Australia 17 66 0.2× 309 1.4× 118 0.7× 363 2.1× 240 1.6× 39 821
Molly Griffin United States 13 177 0.4× 74 0.3× 47 0.3× 113 0.7× 161 1.1× 19 703
Cecilia L. Mercado United States 19 428 1.0× 858 3.8× 101 0.6× 491 2.9× 182 1.2× 43 1.3k
Shambhavi Venkataraman United States 12 126 0.3× 164 0.7× 51 0.3× 90 0.5× 48 0.3× 30 410

Countries citing papers authored by Yiming Gao

Since Specialization
Citations

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

Fields of papers citing papers by Yiming Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiming Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Yiming Gao. A scholar is included among the top collaborators of Yiming Gao 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 Yiming Gao. Yiming Gao 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.
Lu, Li‐Chun, Hao Zhuang, Yingluo Liu, et al.. (2025). PolyIC as an adjuvant outperforms anti-VEGF in combination with anti-PD-L1 therapy in mouse liver tumor models. Hepatology Communications. 9(9).
2.
Rosenberger, Laura H., R. L. White, Lorraine Tafra, et al.. (2025). American Society of Breast Surgeons and Society of Breast Imaging 2025 Guidelines for the Management of Benign Breast Fibroepithelial Lesions. JAMA Surgery. 160(12). 1378–1378. 1 indexed citations
3.
Deng, Zhuo, et al.. (2025). Antifouling agent “smart switch”: 3D-printed antifouling functional tablets based on Tesla valve structures. Chemical Engineering Journal. 516. 163991–163991. 1 indexed citations
4.
Meng, Hong, et al.. (2024). Accurate prenatal diagnosis of coarctation of the aorta by 3-step echocardiographic diagnostic protocol. BMC Pediatrics. 24(1). 552–552. 1 indexed citations
5.
Lee, Cindy, Alana A. Lewin, Beatriu Reig, et al.. (2023). Women 75 Years Old or Older: To Screen or Not to Screen?. Radiographics. 43(5). e220166–e220166. 6 indexed citations
6.
Gao, Yiming, Carmen A. Perez, Chloe Chhor, & Samantha L. Heller. (2023). Breast Cancer Screening in Survivors of Childhood Cancer. Radiographics. 43(4). e220155–e220155. 1 indexed citations
7.
Gong, Ying, et al.. (2023). Utilization of glucagon-like peptide-1 receptor agonists in children and adolescents in China: a real-world study. Frontiers in Endocrinology. 14. 1170127–1170127. 11 indexed citations
8.
Heacock, Laura, et al.. (2022). Advances in Abbreviated Breast MRI and Ultrafast Imaging. Seminars in Roentgenology. 57(2). 145–148. 2 indexed citations
9.
10.
Chen, Siyuan, Yu Qiao, Juan Chen, et al.. (2022). Evolutions in the management of non-small cell lung cancer: A bibliometric study from the 100 most impactful articles in the field. Frontiers in Oncology. 12. 939838–939838. 7 indexed citations
11.
Gao, Yiming, et al.. (2022). MonoDCN: Monocular 3D object detection based on dynamic convolution. PLoS ONE. 17(10). e0275438–e0275438. 4 indexed citations
12.
13.
Pang, Kunjing, Jingjin Wang, Tingting Zhang, et al.. (2021). Undifferentiated Chordae Tendineae of the Mitral Valve: Large Cohort Study of a Rare Mitral Malformation. Frontiers in Cardiovascular Medicine. 8. 695536–695536. 2 indexed citations
14.
Gao, Yiming, Beatriu Reig, Laura Heacock, et al.. (2020). Magnetic Resonance Imaging in Screening of Breast Cancer. Radiologic Clinics of North America. 59(1). 85–98. 45 indexed citations
15.
Heller, Samantha L., et al.. (2020). Can an Artificial Intelligence Decision Aid Decrease False-Positive Breast Biopsies?. Ultrasound Quarterly. 37(1). 10–15. 5 indexed citations
16.
Nie, Wei, et al.. (2019). <p>Rapid mineralization of hierarchical poly(l-lactic acid)/poly(ε-caprolactone) nanofibrous scaffolds by electrodeposition for bone regeneration</p>. International Journal of Nanomedicine. Volume 14. 3929–3941. 24 indexed citations
17.
Lewin, Alana A., Yiming Gao, M. Albert, et al.. (2018). Stereotactic Breast Biopsy With Benign Results Does Not Negatively Affect Future Screening Adherence. Journal of the American College of Radiology. 15(4). 622–629. 3 indexed citations
18.
Gao, Yiming, James S. Babb, Hildegard K. Toth, Linda Moy, & Samantha L. Heller. (2017). Digital Breast Tomosynthesis Practice Patterns Following 2011 FDA Approval. Academic Radiology. 24(8). 947–953. 43 indexed citations
19.
Heacock, Laura, Amy N. Melsaether, Samantha L. Heller, et al.. (2016). Evaluation of a known breast cancer using an abbreviated breast MRI protocol: Correlation of imaging characteristics and pathology with lesion detection and conspicuity. European Journal of Radiology. 85(4). 815–823. 102 indexed citations
20.
Gao, Yiming, et al.. (2015). How to approach breast lesions in children and adolescents. European Journal of Radiology. 84(7). 1350–1364. 44 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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