Min Lang

109 papers receiving 1.8k citations

Peers

Min Lang
Comparison fields: 5 of 140
  • Health Informatics 63
  • Critical Care and Intensive Care Medicine 170
  • Neurology 413
  • Infectious Diseases 372
  • Radiology, Nuclear Medicine and Imaging 338
Replace Liat Ben‐Sira with:
Liat Ben‐Sira Israel
Vimal Kumar Paliwal India
Mai‐Lan Ho United States
Ling Ling Chan Singapore
Sean P. Donahue United States
Chun‐Chung Lui Taiwan
Vincent Ninane Belgium
Alireza Radmanesh United States
Edgar Hernández‐Andrade United States
Wendy A. Cohen United States
Min Lang relative to Liat Ben‐Sira Israel Liat Ben‐Sira's profile →
Citations per field
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Liat Ben‐Sira · 1×
Citations per year

Countries citing papers authored by Min Lang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Min Lang Line = papers co-authored together Min Lang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020213
2 2020105
3 2020104
4 202055
5 201954
6 201449
7 202048
8 202045
9 201344
10 201944
11 201544
12 201843
13 202034
14 201733
15 201930
16 201728
17 202027
18 202027
19 201426
20 201925

About Min Lang

Min Lang is a scholar working on Critical Care and Intensive Care Medicine, Health Informatics, Neurology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 115 papers that have together received 1.8k indexed citations. Recurring topics across this work include Forensic and Genetic Research (13 papers), Genetics and Neurodevelopmental Disorders (13 papers), Advanced MRI Techniques and Applications (13 papers), COVID-19 and healthcare impacts (12 papers), Autism Spectrum Disorder Research (10 papers), Long-Term Effects of COVID-19 (9 papers), COVID-19 Clinical Research Studies (8 papers) and Genetic diversity and population structure (7 papers). The work is most often cited by research in Health Informatics (63 citations), Critical Care and Intensive Care Medicine (170 citations), Neurology (413 citations), Infectious Diseases (372 citations) and Radiology, Nuclear Medicine and Imaging (338 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, Journal of neurosurgery and Current Pain and Headache Reports.

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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