Brian Lee
Impact in
-
- Neuroscience and Neural Engineering
- Biophysics top 10%
Papers in
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- Single-cell and spatial transcriptomics 3
- Pluripotent Stem Cells Research 3
- Ubiquitin and proteasome pathways 2
- Genetics 6
- Genetic Associations and Epidemiology 2
- Genomic variations and chromosomal abnormalities 2
- Genomics and Rare Diseases 2
- Co-authors
- J. Noh (1 shared paper)Sanghyuk Park (1 shared paper)Byoung Hun Lee (1 shared paper)Junwoo Jang (1 shared paper)Moongu Jeon (1 shared paper)Hyunsang Hwang (1 shared paper)B. Lee (1 shared paper)Ahmad Muqeem Sheri (1 shared paper)
- Journals
- Journal of Visualized Experiments (3 papers)Cytometry Part A (2 papers)Molecular Cell (1 paper)npj Genomic Medicine (1 paper)Materials Horizons (1 paper)
- Partner nations
- United StatesPortugalSouth Korea
In The Last Decade
Brian Lee
29 papers receiving 766 citations
Peers
Comparison fields: 5 of 115
- Cellular and Molecular Neuroscience 129
- Biophysics 41
- Immunology 84
- Cognitive Neuroscience 77
- Molecular Biology 267
Countries citing papers authored by Brian Lee
This map shows the geographic impact of Brian Lee'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 Brian Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Lee more than expected).
Fields of papers citing papers by Brian Lee
This network shows the impact of papers produced by Brian Lee. 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 Brian Lee. The network helps show where Brian Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Lee, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 158 | |
| 2 | 2017 | 86 | |
| 3 | 2003 | 60 | |
| 4 | 2007 | 59 | |
| 5 | 2019 | 43 | |
| 6 | 2020 | 34 | |
| 7 | 1999 | 32 | |
| 8 | 2018 | 31 | |
| 9 | 2008 | 29 | |
| 10 | 2008 | 25 | |
| 11 | 2021 | 24 | |
| 12 | 2013 | 23 | |
| 13 | 2022 | 21 | |
| 14 | 2022 | 21 | |
| 15 | 2009 | 19 | |
| 16 | 2021 | 19 | |
| 17 | 2017 | 16 | |
| 18 | 2022 | 13 | |
| 19 | 2024 | 13 | |
| 20 | 2021 | 12 |
About Brian Lee
Brian Lee is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 33 papers that have together received 772 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Pluripotent Stem Cells Research (3 papers), Ubiquitin and proteasome pathways (2 papers), Surface Modification and Superhydrophobicity (2 papers), Optical Coherence Tomography Applications (2 papers), Genetic Associations and Epidemiology (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (129 citations), Biophysics (41 citations), Immunology (84 citations), Cognitive Neuroscience (77 citations) and Molecular Biology (267 citations). Brian Lee has collaborated with scholars based in United States, Portugal and South Korea. Frequent co-authors include J. Noh, Sanghyuk Park, Byoung Hun Lee, Junwoo Jang, Moongu Jeon, Hyunsang Hwang, B. Lee, Ahmad Muqeem Sheri, Weidong Hu and Jianghai Wang. Their work appears in journals such as Journal of Visualized Experiments, Cytometry Part A, Molecular Cell, npj Genomic Medicine and Materials Horizons.
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.