Min Lang
Impact in
- Health Informatics top 2%
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
- Genetics 28
- Forensic and Genetic Research 13
- Genetics and Neurodevelopmental Disorders 12
- Genetic diversity and population structure 7
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- Molecular Biology Techniques and Applications 7
- Co-authors
- Matthew Li (15 shared papers)Brent P. Little (13 shared papers)Dexter P. Mendoza (10 shared papers)Avik Som (10 shared papers)Efrén J. Flores (8 shared papers)Jo-Anne O. Shepard (5 shared papers)Nicholas Reid (4 shared papers)Denston Carey (4 shared papers)
- Journals
- American Journal of Neuroradiology (8 papers)Journal of the American College of Radiology (6 papers)Forensic Science International Genetics (4 papers)Current Pain and Headache Reports (4 papers)Journal of neurosurgery (3 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Min Lang
112 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 138
- Health Informatics 51
- Neurology 354
- Critical Care and Intensive Care Medicine 110
- Infectious Diseases 284
- Genetics 412
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 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 216 | |
| 2 | 2020 | 110 | |
| 3 | 2020 | 106 | |
| 4 | 2020 | 56 | |
| 5 | 2019 | 54 | |
| 6 | 2014 | 50 | |
| 7 | 2020 | 49 | |
| 8 | 2020 | 48 | |
| 9 | 2013 | 47 | |
| 10 | 2015 | 46 | |
| 11 | 2018 | 45 | |
| 12 | 2019 | 44 | |
| 13 | 2017 | 34 | |
| 14 | 2020 | 34 | |
| 15 | 2019 | 33 | |
| 16 | 2017 | 32 | |
| 17 | 2020 | 28 | |
| 18 | 2020 | 28 | |
| 19 | 2020 | 27 | |
| 20 | 2019 | 27 |
About Min Lang
Min Lang is a scholar working on Genetics, Molecular Biology, Neurology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 118 papers that have together received 1.9k indexed citations. Recurring topics across this work include Forensic and Genetic Research (13 papers), Genetics and Neurodevelopmental Disorders (12 papers), Autism Spectrum Disorder Research (10 papers), Genetic diversity and population structure (7 papers), COVID-19 and healthcare impacts (7 papers), Advanced MRI Techniques and Applications (7 papers), Molecular Biology Techniques and Applications (7 papers) and Long-Term Effects of COVID-19 (7 papers). The work is most often cited by research in Health Informatics (51 citations), Neurology (354 citations), Critical Care and Intensive Care Medicine (110 citations), Infectious Diseases (284 citations) and Genetics (412 citations). Min Lang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Matthew Li, Brent P. Little, Dexter P. Mendoza, Avik Som, Efrén J. Flores, Jo-Anne O. Shepard, Nicholas Reid, Denston Carey, Liang Zhang and Karen Buch. Their work appears in journals such as American Journal of Neuroradiology, Journal of the American College of Radiology, Forensic Science International Genetics, Current Pain and Headache Reports and Journal of neurosurgery.
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.