Daniel A. Lee
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms 7
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- Regulation of Appetite and Obesity 4
- Circadian rhythm and melatonin 3
- Aging top 10%
- Cognitive Neuroscience top 10%
- Sleep and Wakefulness Research 6
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- Epigenetics and DNA Methylation 6
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- Genetics and Neurodevelopmental Disorders 3
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- Advanced Memory and Neural Computing 2
- Organic Electronics and Photovoltaics 2
- Co-authors
- Seth BlackshawAna L. Miranda‐AnguloSusan AjaThomas PakJoseph L. BedontDavid A. ProberVanessa CharubhumiJuan Song
- Journals
- International Journal of Developmental Neuroscience (2 papers)Nature Neuroscience (2 papers)Journal of Visualized Experiments (2 papers)
- Partner nations
- United StatesJapanColombia
In The Last Decade
Daniel A. Lee
24 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 105
- Developmental Neuroscience 402
- Endocrine and Autonomic Systems 458
- Aging 34
- Cellular and Molecular Neuroscience 230
- Cognitive Neuroscience 201
Countries citing papers authored by Daniel A. Lee
This map shows the geographic impact of Daniel A. 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 Daniel A. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Lee more than expected).
Fields of papers citing papers by Daniel A. Lee
This network shows the impact of papers produced by Daniel A. 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 Daniel A. Lee. The network helps show where Daniel A. Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel A. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 14 | |
| 2 | 2020 | 14 | |
| 3 | 2020 | 40 | |
| 4 | 2019 | 26 | |
| 5 | 2017 | 42 | |
| 6 | 2016 | 62 | |
| 7 | 2014 | 55 | |
| 8 | 2014 | 71 | |
| 9 | 2013 | 7 | |
| 10 | 2013 | 97 | |
| 11 | 2013 | 24 | |
| 12 | 2013 | 1 | |
| 13 | 2012 | 1 | |
| 14 | 2012 | 77 | |
| 15 | 2012 | 377 | |
| 16 | 2010 | 296 | |
| 17 | 2007 | 23 | |
| 18 | 2002 | 45 | |
| 19 | 1994 | 8 | |
| 20 | 1993 | 5 |
About Daniel A. Lee
Daniel A. Lee is a scholar working on Developmental Neuroscience, Endocrine and Autonomic Systems, Cognitive Neuroscience, Cell Biology and Ophthalmology, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (7 papers), Epigenetics and DNA Methylation (6 papers), Sleep and Wakefulness Research (6 papers), Regulation of Appetite and Obesity (4 papers), Circadian rhythm and melatonin (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Advanced Memory and Neural Computing (2 papers) and Organic Electronics and Photovoltaics (2 papers). The work is most often cited by research in Developmental Neuroscience (402 citations), Endocrine and Autonomic Systems (458 citations), Aging (34 citations), Cellular and Molecular Neuroscience (230 citations) and Cognitive Neuroscience (201 citations). Daniel A. Lee has collaborated with scholars based in United States, Japan and Colombia. Frequent co-authors include Seth Blackshaw, Ana L. Miranda‐Angulo, Susan Aja, Thomas Pak, Joseph L. Bedont, David A. Prober, Vanessa Charubhumi, Juan Song, Hirohide Takebayashi and Gord Fishell. Their work appears in journals such as International Journal of Developmental Neuroscience, Nature Neuroscience, Journal of Visualized Experiments, eLife and Proceedings of the National Academy of Sciences.
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.