Min Lang
Impact in
- Health Informatics top 5%
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
Papers in
-
- Advanced MRI Techniques and Applications 13
- COVID-19 diagnosis using AI 5
- Neurology 13
- Long-Term Effects of COVID-19 6
- Co-authors
- Matthew Li (16 shared papers)Brent P. Little (13 shared papers)Dexter P. Mendoza (10 shared papers)Avik Som (11 shared papers)Efrén J. Flores (8 shared papers)Jo-Anne O. Shepard (5 shared papers)Nicholas Reid (4 shared papers)Denston E. Carey (4 shared papers)
- Journals
- American Journal of Neuroradiology (9 papers)Journal of the American College of Radiology (6 papers)Current Pain and Headache Reports (4 papers)Journal of neurosurgery (3 papers)Cancer Medicine (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Min Lang
91 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 109
- Health Informatics 64
- Infectious Diseases 435
- Neurology 271
- Radiology, Nuclear Medicine and Imaging 279
- Nuclear and High Energy Physics 154
Countries citing papers authored by Min Lang
This map shows the geographic impact of Min Lang'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 Min Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Lang more than expected).
Fields of papers citing papers by Min Lang
This network shows the impact of papers produced by Min Lang. 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 Min Lang. The network helps show where Min Lang may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Lang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 254 | |
| 2 | 2013 | 141 | |
| 3 | 2020 | 134 | |
| 4 | 2020 | 111 | |
| 5 | 2020 | 57 | |
| 6 | 2020 | 55 | |
| 7 | 2013 | 50 | |
| 8 | 2014 | 49 | |
| 9 | 2020 | 49 | |
| 10 | 2015 | 47 | |
| 11 | 2017 | 37 | |
| 12 | 2019 | 36 | |
| 13 | 2020 | 36 | |
| 14 | 2020 | 31 | |
| 15 | 2020 | 29 | |
| 16 | 2012 | 28 | |
| 17 | 2024 | 28 | |
| 18 | 2020 | 27 | |
| 19 | 2020 | 27 | |
| 20 | 2024 | 27 |
About Min Lang
Min Lang is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology, Infectious Diseases, Psychiatry and Mental health and Genetics, having authored 94 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (13 papers), Genetics and Neurodevelopmental Disorders (11 papers), COVID-19 Clinical Research Studies (11 papers), Epilepsy research and treatment (7 papers), COVID-19 and healthcare impacts (6 papers), Long-Term Effects of COVID-19 (6 papers), COVID-19 diagnosis using AI (5 papers) and Augmented Reality Applications (4 papers). The work is most often cited by research in Health Informatics (64 citations), Infectious Diseases (435 citations), Neurology (271 citations), Radiology, Nuclear Medicine and Imaging (279 citations) and Nuclear and High Energy Physics (154 citations). Min Lang has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Matthew Li, Brent P. Little, Dexter P. Mendoza, Avik Som, Efrén J. Flores, Jo-Anne O. Shepard, Nicholas Reid, Denston E. Carey, Liang Zhang and Sandra Rincon. Their work appears in journals such as American Journal of Neuroradiology, Journal of the American College of Radiology, Current Pain and Headache Reports, Journal of neurosurgery and Cancer Medicine.
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.