Brian H. Lee
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 2%
- Microtubule and mitosis dynamics
Papers in
-
- DNA Repair Mechanisms 5
- Genomics and Chromatin Dynamics 3
- Mitochondrial Function and Pathology 2
-
- Microtubule and mitosis dynamics 8
- Co-authors
- Angelika Amon (9 shared papers)Kaveh Ashrafi (4 shared papers)Adèle L. Marston (2 shared papers)Brendan M. Kiburz (2 shared papers)Marc R. Van Gilst (1 shared paper)Fernando Monje-Casas (1 shared paper)Monica Boselli (1 shared paper)S R Srinivasan (2 shared papers)
- Journals
- Genes & Development (2 papers)Cell Metabolism (2 papers)Current Opinion in Cell Biology (2 papers)Nature Communications (1 paper)Developmental Cell (1 paper)
- Partner nations
- United StatesSouth Africa
In The Last Decade
Brian H. Lee
21 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Aging 278
- Cell Biology 494
- Endocrine and Autonomic Systems 179
- Molecular Biology 793
- Biological Psychiatry 13
Countries citing papers authored by Brian H. Lee
This map shows the geographic impact of Brian H. 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 H. 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 H. Lee more than expected).
Fields of papers citing papers by Brian H. Lee
This network shows the impact of papers produced by Brian H. 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 H. Lee. The network helps show where Brian H. Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian H. 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 202 | |
| 2 | 2008 | 154 | |
| 3 | 2007 | 113 | |
| 4 | 2003 | 100 | |
| 5 | 2016 | 90 | |
| 6 | 2008 | 77 | |
| 7 | 2005 | 74 | |
| 8 | 2004 | 70 | |
| 9 | 2012 | 60 | |
| 10 | 2001 | 45 | |
| 11 | 2002 | 40 | |
| 12 | 2011 | 37 | |
| 13 | 2014 | 30 | |
| 14 | 2009 | 25 | |
| 15 | 2003 | 16 | |
| 16 | 2021 | 15 | |
| 17 | 2014 | 15 | |
| 18 | 2019 | 14 | |
| 19 | 2023 | 13 | |
| 20 | 2023 | 2 |
About Brian H. Lee
Brian H. Lee is a scholar working on Molecular Biology, Cell Biology, Endocrine and Autonomic Systems, Aging and Physiology, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (8 papers), DNA Repair Mechanisms (5 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Circadian rhythm and melatonin (3 papers), Genomics and Chromatin Dynamics (3 papers), Mitochondrial Function and Pathology (2 papers), Marine animal studies overview (1 paper) and Biomedical Research and Pathophysiology (1 paper). The work is most often cited by research in Aging (278 citations), Cell Biology (494 citations), Endocrine and Autonomic Systems (179 citations), Molecular Biology (793 citations) and Biological Psychiatry (13 citations). Brian H. Lee has collaborated with scholars based in United States and South Africa. Frequent co-authors include Angelika Amon, Kaveh Ashrafi, Adèle L. Marston, Brendan M. Kiburz, Marc R. Van Gilst, Fernando Monje-Casas, Monica Boselli, S R Srinivasan, Susanne Prinz and Duy Nguyen. Their work appears in journals such as Genes & Development, Cell Metabolism, Current Opinion in Cell Biology, Nature Communications and Developmental Cell.
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.