Dana J. Lin
- Surgery top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering
- Epidemiology
- Orthopedics and Sports Medicine top 10%
- Co-authors
- Florian KnöllJonathan K. KazamTony T. WongPatricia M. JohnsonYvonne W. LuiMichael P. RechtJan FritzAnkur M. Doshi
- Topics
- Shoulder Injury and Treatment (8 papers)Orthopedic Surgery and Rehabilitation (5 papers)Shoulder and Clavicle Injuries (4 papers)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Dana J. Lin
21 papers receiving 702 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Surgery 348
- Radiology, Nuclear Medicine and Imaging 304
- Biomedical Engineering 158
- Epidemiology 138
- Orthopedics and Sports Medicine 83
Countries citing papers authored by Dana J. Lin
This map shows the geographic impact of Dana J. Lin'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 Dana J. Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana J. Lin more than expected).
Fields of papers citing papers by Dana J. Lin
This network shows the impact of papers produced by Dana J. Lin. 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 Dana J. Lin. The network helps show where Dana J. Lin may publish in the future.
Co-authorship network of co-authors of Dana J. Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Dana J. Lin. A scholar is included among the top collaborators of Dana J. Lin 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 Dana J. Lin. Dana J. Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRIbreakdown → | 69 |
| 2 | 3 | |
| 3 | 26 | |
| 4 | 13 | |
| 5 | 8 | |
| 6 | 53 | |
| 7 | 12 | |
| 8 | 160 | |
| 9 | 7 | |
| 10 | 13 | |
| 11 | 104 | |
| 12 | 0 | |
| 13 | 11 | |
| 14 | 71 | |
| 15 | Improving Emergency Department Flow: Reducing Turnaround Time for Emergent CT Scans. | 28 |
| 16 | 20 | |
| 17 | 41 | |
| 18 | 14 | |
| 19 | 48 | |
| 20 | The high jugular bulb: report of five cases and a review of the literature. | 9 |
About Dana J. Lin
Dana J. Lin is a scholar working on Health Informatics, Family Practice and Rehabilitation, having authored 22 papers that have together received 726 indexed citations. Recurring topics across this work include Shoulder Injury and Treatment (8 papers), Orthopedic Surgery and Rehabilitation (5 papers) and Shoulder and Clavicle Injuries (4 papers). The work is most often cited by research in Health Informatics (72 citations), Radiology, Nuclear Medicine and Imaging (304 citations) and Orthopedics and Sports Medicine (83 citations). Dana J. Lin has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Florian Knöll, Jonathan K. Kazam, Tony T. Wong, Patricia M. Johnson, Yvonne W. Lui, Michael P. Recht, Jan Fritz, Ankur M. Doshi, Sven S. Walter and Soterios Gyftopoulos. Their work appears in journals such as Radiology, American Journal of Roentgenology and Clinical Gastroenterology and Hepatology.
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.