Frank Yu

444 total citations
8 papers, 183 citations indexed

About

Frank Yu is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Frank Yu has authored 8 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Surgery and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Frank Yu's work include Advanced Neuroimaging Techniques and Applications (3 papers), Advanced Neural Network Applications (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Frank Yu is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (3 papers), Advanced Neural Network Applications (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Frank Yu collaborates with scholars based in United States, Norway and Canada. Frank Yu's co-authors include Joseph A. Maldjian, Marco C. Pinho, Bhavya Shah, Gowtham Krishnan Murugesan, Chandan Ganesh Bangalore Yogananda, Baowei Fei, Benjamin Wagner, Sahil Nalawade, Ananth J. Madhuranthakam and Kyrre E. Emblem and has published in prestigious journals such as Brain, Multiple Sclerosis and Related Disorders and Emergency Radiology.

In The Last Decade

Frank Yu

8 papers receiving 178 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Frank Yu United States	6	72	57	50	39	31	8	183
Marc Agzarian Australia	8	57 0.8×	64 1.1×	79 1.6×	47 1.2×	37 1.2×	19	236
Kiran Talekar United States	7	97 1.3×	26 0.5×	22 0.4×	13 0.3×	23 0.7×	30	238
Viola Pongratz Germany	9	89 1.2×	44 0.8×	48 1.0×	26 0.7×	204 6.6×	21	315
Manish Beniwal India	9	80 1.1×	14 0.2×	76 1.5×	8 0.2×	18 0.6×	59	249
Zezhong Ye United States	9	161 2.2×	31 0.5×	16 0.3×	18 0.5×	27 0.9×	21	224
Francesco Sanvito United States	8	152 2.1×	32 0.6×	20 0.4×	30 0.8×	14 0.5×	32	235
Andrea Maria Faymonville Germany	8	162 2.3×	101 1.8×	64 1.3×	36 0.9×	6 0.2×	9	312
Domenique M. J. Müller Netherlands	6	105 1.5×	39 0.7×	11 0.2×	30 0.8×	15 0.5×	10	217
Chunxue Wu China	10	93 1.3×	13 0.2×	116 2.3×	5 0.1×	10 0.3×	35	263
Reuben Dorent United Kingdom	8	97 1.3×	44 0.8×	63 1.3×	70 1.8×	3 0.1×	21	253

Countries citing papers authored by Frank Yu

Since Specialization

Citations

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

Fields of papers citing papers by Frank Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Yu. A scholar is included among the top collaborators of Frank Yu 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 Frank Yu. Frank Yu 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:

8 of 8 papers shown

1.

Wang, Jijia, Colby Ayers, Ambarish Pandey, et al.. (2023). Associations Between Cardiac Function and Brain Health in Diverse Middle-Aged Adults. JACC Advances. 3(2). 100777–100777. 3 indexed citations

2.

Yogananda, Chandan Ganesh Bangalore, Bhavya Shah, Frank Yu, et al.. (2020). A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomas. Neuro-Oncology Advances. 2(Supplement_4). iv42–iv48. 34 indexed citations

3.

McCreary, Morgan, Andrew Wilson, Yeqi Wang, et al.. (2020). African Americans experience disproportionate neurodegenerative changes in the medulla and upper cervical spinal cord in early multiple sclerosis. Multiple Sclerosis and Related Disorders. 45. 102429–102429. 21 indexed citations

4.

Yu, Frank, et al.. (2020). Intramedullary Neurocysticercosis Mimicking Cord Tumor. Journal of Clinical Imaging Science. 10. 7–7. 7 indexed citations

5.

Agarwal, Amit, Marco C. Pinho, Frank Yu, et al.. (2020). Neurological emergencies associated with COVID-19: stroke and beyond. Emergency Radiology. 27(6). 747–754. 28 indexed citations

6.

Shah, Bhavya, Vance T. Lehman, Timothy J. Kaufmann, et al.. (2020). Advanced MRI techniques for transcranial high intensity focused ultrasound targeting. Brain. 143(9). 2664–2672. 28 indexed citations

7.

Yogananda, Chandan Ganesh Bangalore, Bhavya Shah, Maryam Vejdani‐Jahromi, et al.. (2020). A Fully Automated Deep Learning Network for Brain Tumor Segmentation. Tomography. 6(2). 186–193. 60 indexed citations

8.

Proskovec, Amy L., et al.. (2020). Magnetoencephalography and Mild Traumatic Brain Injury. 2. 341–350. 2 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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