Khanh Lam
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Functional Brain Connectivity Studies
- Neurology top 10%
- Transcranial Magnetic Stimulation Studies
Papers in
-
- Functional Brain Connectivity Studies 3
- Visual perception and processing mechanisms 3
-
- Cardiac Valve Diseases and Treatments 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)Michael H. Gollob (2 shared papers)
- Journals
- Neuroscience (3 papers)Biochemical and Biophysical Research Communications (1 paper)Pharmaceutics (1 paper)Advances in Natural Sciences Nanoscience and Nanotechnology (1 paper)Pain (1 paper)
- Partner nations
- JapanCanadaUnited States
In The Last Decade
Khanh Lam
18 papers receiving 769 citations
Peers
Comparison fields: 5 of 81
- Cognitive Neuroscience 278
- Neurology 82
- Cardiology and Cardiovascular Medicine 193
- Biochemistry 28
- Physiology 108
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
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 191 | |
| 2 | 2010 | 129 | |
| 3 | 2009 | 85 | |
| 4 | 2001 | 68 | |
| 5 | 2017 | 48 | |
| 6 | 2002 | 45 | |
| 7 | 2000 | 44 | |
| 8 | 2002 | 41 | |
| 9 | 1999 | 27 | |
| 10 | 2013 | 25 | |
| 11 | 2001 | 21 | |
| 12 | 2012 | 18 | |
| 13 | 2023 | 16 | |
| 14 | 2014 | 7 | |
| 15 | 2005 | 6 | |
| 16 | 2003 | 5 | |
| 17 | 2024 | 1 | |
| 18 | 2002 | 1 | |
| 19 | 2025 | 0 |
About Khanh Lam
Khanh Lam is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Neurology and Biomedical Engineering, having authored 19 papers that have together received 778 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (4 papers), Functional Brain Connectivity Studies (3 papers), Visual perception and processing mechanisms (3 papers), Optical Imaging and Spectroscopy Techniques (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Blood transfusion and management (2 papers), Pain Mechanisms and Treatments (2 papers) and Cardiac Valve Diseases and Treatments (2 papers). The work is most often cited by research in Cognitive Neuroscience (278 citations), Neurology (82 citations), Cardiology and Cardiovascular Medicine (193 citations), Biochemistry (28 citations) and Physiology (108 citations). Khanh Lam has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Ryusuke Kakigi, Tuan Diep Tran, Minoru Hoshiyama, Minoru Hoshiyama, Ryusuke Kakigi, Daisuke Naka, Kazuaki Mæda, Michael H. Gollob, Robert Lemery and Gele Liu. Their work appears in journals such as Neuroscience, Biochemical and Biophysical Research Communications, Pharmaceutics, Advances in Natural Sciences Nanoscience and Nanotechnology and Pain.
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.