Khanh Lam
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
- Neurology top 10%
- Transcranial Magnetic Stimulation Studies
Papers in
-
- Visual perception and processing mechanisms 4
- Functional Brain Connectivity Studies 3
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- Cardiac electrophysiology and arrhythmias 2
- Co-authors
- Ryusuke Kakigi (7 shared papers)Tuan Diep Tran (4 shared papers)Minoru Hoshiyama (3 shared papers)Minoru Hoshiyama (2 shared papers)Ryusuke Kakigi (2 shared papers)Daisuke Naka (2 shared papers)Kazuaki Mæda (2 shared papers)Robert Lemery (2 shared papers)
In The Last Decade
Khanh Lam
21 papers receiving 799 citations
Peers
Comparison fields: 5 of 89
- Cognitive Neuroscience 329
- Neurology 105
- Cardiology and Cardiovascular Medicine 247
- Biochemistry 38
- Physiology 138
Countries citing papers authored by Khanh Lam
This map shows the geographic impact of Khanh Lam'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 Khanh Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khanh Lam more than expected).
Fields of papers citing papers by Khanh Lam
This network shows the impact of papers produced by Khanh Lam. 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 Khanh Lam. The network helps show where Khanh Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Khanh Lam, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 191 | |
| 2 | 2010 | 128 | |
| 3 | 2009 | 85 | |
| 4 | 2001 | 68 | |
| 5 | 2017 | 47 | |
| 6 | 2002 | 45 | |
| 7 | 2000 | 43 | |
| 8 | 2002 | 41 | |
| 9 | 1999 | 27 | |
| 10 | 2013 | 25 | |
| 11 | 2022 | 24 | |
| 12 | 2001 | 21 | |
| 13 | 2012 | 18 | |
| 14 | 2023 | 15 | |
| 15 | 2022 | 10 | |
| 16 | 2014 | 7 | |
| 17 | 2005 | 6 | |
| 18 | 2003 | 5 | |
| 19 | 2024 | 1 | |
| 20 | 2019 | 1 |
About Khanh Lam
Khanh Lam is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Surgery, having authored 22 papers that have together received 809 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (4 papers), Transcranial Magnetic Stimulation Studies (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Functional Brain Connectivity Studies (3 papers), Blood transfusion and management (2 papers), Optical Imaging and Spectroscopy Techniques (2 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Cognitive Neuroscience (329 citations), Neurology (105 citations), Cardiology and Cardiovascular Medicine (247 citations), Biochemistry (38 citations) and Physiology (138 citations). Khanh Lam has collaborated with scholars based in Japan, Vietnam and Canada. Frequent co-authors include Ryusuke Kakigi, Tuan Diep Tran, Minoru Hoshiyama, Minoru Hoshiyama, Ryusuke Kakigi, Daisuke Naka, Kazuaki Mæda, Robert Lemery, Gele Liu and Michael H. Gollob. Their work appears in journals such as Neuroscience, Progress in Neurobiology, Clinical Neurophysiology, International Journal of Cardiology and Pharmaceutics.
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.