Jessica M. Sin

468 total citations
23 papers, 314 citations indexed

About

Jessica M. Sin is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Health Informatics. According to data from OpenAlex, Jessica M. Sin has authored 23 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Surgery and 5 papers in Health Informatics. Recurrent topics in Jessica M. Sin's work include Artificial Intelligence in Healthcare and Education (5 papers), Medical Imaging Techniques and Applications (4 papers) and Organic Electronics and Photovoltaics (4 papers). Jessica M. Sin is often cited by papers focused on Artificial Intelligence in Healthcare and Education (5 papers), Medical Imaging Techniques and Applications (4 papers) and Organic Electronics and Photovoltaics (4 papers). Jessica M. Sin collaborates with scholars based in United States and Canada. Jessica M. Sin's co-authors include Z. G. Soos, Saeed Hassanpour, Petra J. Lewis, Faraz Farhadi, Joshua Levy, Eric R. Henderson, Michael L. Richardson, Xuan V. Nguyen, Hao S. Lo and Matthew Li and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Journal of Bone and Joint Surgery.

In The Last Decade

Jessica M. Sin

19 papers receiving 306 citations

Peers

Countries citing papers authored by Jessica M. Sin

Since Specialization

Citations

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

Fields of papers citing papers by Jessica M. Sin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jessica M. Sin. 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 Jessica M. Sin. The network helps show where Jessica M. Sin may publish in the future.

Co-authorship network of co-authors of Jessica M. Sin

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Intraoperative Bone Perfusion Assessment Using Fluorescence Imaging in a Simulated Fracture Model 2025 ·Journal of Bone and Joint Surgery ·(unknown), Shudong Jiang, Jonathan T. Elliott, (unknown), Xu Cao, (unknown), (unknown), Jessica M. Sin, Eric R. Henderson, Ida Leah Gitajn	0
2	Data governance in radiology Part I: Overview of data management approaches to radiology 2025 ·Current Problems in Diagnostic Radiology ·Chloe Chhor, (unknown), (unknown), (unknown), Joseph S. Fotos, (unknown), David S. Li, Prabhakar Rajiah, Jessica M. Sin, Xuan V. Nguyen	0
3	Data governance in radiology part II: Innovative opportunities for research, education, and clinical practice in radiology 2025 ·Current Problems in Diagnostic Radiology ·Chloe Chhor, (unknown), (unknown), (unknown), Joseph S. Fotos, (unknown), David Li, Prabhakar Rajiah, Jessica M. Sin, Xuan V. Nguyen	0
4	Automatic correction of motion artifact in dynamic contrast-enhanced fluorescence imaging during open orthopedic surgery 2024 ·Journal of Biomedical Optics ·(unknown), Ida Leah Gitajn, Xu Cao, (unknown), Jonathan T. Elliott, (unknown), (unknown), (unknown), Jessica M. Sin, Eric R. Henderson, Shudong Jiang	2
5	AI-RADS: Successes and challenges of a novel artificial intelligence curriculum for radiologists across different delivery formats 2023 ·SHILAP Revista de lepidopterología ·(unknown), Saeed Hassanpour, Joshua M. Levy, Jessica M. Sin	5
6	Automated motion artifact correction for dynamic contrast-enhanced fluorescence imaging during open orthopedic surgery 2023 ·PubMed ·(unknown), Ida Leah Gitajn, Xu Cao, (unknown), Jonathan T. Elliott, (unknown), (unknown), (unknown), (unknown), Jessica M. Sin, Eric R. Henderson, Brian W. Pogue, Shudong Jiang	3
7	A Rare Case of Primary Epithelioid Hemangioma of Bone with WWTR1::FOSB Fusion: A Benign Lesion with the Potential to Mimic Malignancy 2022 ·International Journal of Surgical Pathology ·Leslie C. Yuen, Michael Baker, Jessica M. Sin, Konstantinos Linos, Darcy A. Kerr	0
8	Applications of artificial intelligence in orthopaedic surgery 2022 ·SHILAP Revista de lepidopterología ·Faraz Farhadi, (unknown), (unknown), Jessica M. Sin, Eric R. Henderson, Joshua Levy	53
9	Dynamic contrast-enhanced fluorescence imaging compared with MR imaging in evaluating bone perfusion during open orthopedic surgery 2022 ·PubMed ·(unknown), Jessica M. Sin, Ida Leah Gitajn, Xu Cao, (unknown), Jonathan T. Elliott, (unknown), (unknown), (unknown), (unknown), Eric R. Henderson, Brian W. Pogue, Shudong Jiang	2
10	Ultrasound diagnosis of pyogenic flexor tenosynovitis in a 9-month-old infant: a rare case report 2021 ·Journal of Ultrasound ·(unknown), (unknown), (unknown), Jessica M. Sin, (unknown)	1
11	Review of Artificial Intelligence Training Tools and Courses for Radiologists 2021 ·Academic Radiology ·Michael L. Richardson, Scott Adams, Atul Agarwal, William F. Auffermann, A. K. Bhattacharya, Nikita Consul, Joseph S. Fotos, Linda C. Kelahan, Christine Lin, Hao S. Lo, Xuan V. Nguyen, Lonie R. Salkowski, Jessica M. Sin, Robert Thomas, Shafik N. Wassef, Ichiro Ikuta	10
12	Noninterpretive Uses of Artificial Intelligence in Radiology 2020 ·Academic Radiology ·Michael L. Richardson, Elisabeth R. Garwood, Yueh Z. Lee, Matthew Li, Hao S. Lo, (unknown), Xuan V. Nguyen, Linda Probyn, Prabhakar Rajiah, Jessica M. Sin, Ashish P. Wasnik, (unknown)	76
13	AI-RADS: An Artificial Intelligence Curriculum for Residents 2020 ·Academic Radiology ·(unknown), Saeed Hassanpour, Petra J. Lewis, Jessica M. Sin	62
14	Ultrasound-Guided Microwave Ablation for the Management of Inguinal Neuralgia: A Preliminary Study with 1-Year Follow-up 2019 ·Journal of Vascular and Interventional Radiology ·Kenneth S. Lee, Jessica M. Sin, (unknown), Amgad S. Hanna, Jacob A. Greenberg, Ryan Zea, Christopher L. Brace	14
15	Reduced Dopamine Transporter Expression in the Amygdala of Subjects Diagnosed With Schizophrenia 2014 ·Schizophrenia Bulletin ·Matej Markota, Jessica M. Sin, Harry Pantazopoulos, (unknown), Sabina Berretta	29
16	Multifocal Epithelioid Hemangioma with Reactive Bone Formation 2011 ·SHILAP Revista de lepidopterología ·Jessica M. Sin, Andrew H. Beck, Reetesh K. Pai, Kathryn J. Stevens	4
17	Bridged aromatic alkenes for the study of carbocation–π interaction 2010 ·Tetrahedron ·Thomas A. Spencer, Janeta Popovici-Müller, (unknown), (unknown), (unknown), Jessica M. Sin, R. Ditchfield	9
18	Atomic multipolar contributions to electronic polarization in organic molecular crystals 2002 ·Europhysics Letters (EPL) ·Jessica M. Sin, E. V. Tsiper, Z. G. Soos	12
19	Zero-field mobility, exact mean dwell times, and disorder-induced steps in a Gaussian energy distribution 2001 ·The Journal of Chemical Physics ·Z. G. Soos, Jessica M. Sin	4
20	ON THE NATURE OF BONDING IN SMALL Mg CLUSTERS 2000 ·Jessica M. Sin, Sanjeev K. Nayak, G. Scoles	1

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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