Daniel A. Lee

24 papers receiving 1.4k citations

Peers

Daniel A. Lee
Comparison fields: 5 of 104
  • Developmental Neuroscience 397
  • Endocrine and Autonomic Systems 440
  • Aging 34
  • Cellular and Molecular Neuroscience 224
  • Cognitive Neuroscience 196
Replace Davide De Pietri Tonelli with:
Davide De Pietri Tonelli Italy
Joseph L. Bedont United States
Olga Varlamova United States
Roman A. Romanov Austria
Lavinia Albéri Switzerland
Linda Hassinger United States
Alison E. Mungenast United States
Helen Hong Su United States
Kimmo A. Michelsen Finland
Daniel A. Lee relative to Davide De Pietri Tonelli Italy Davide De Pietri Tonelli's profile →
Citations per field
00.5×1.7×
Davide De Pietri Tonelli · 1×
Citations per year

Countries citing papers authored by Daniel A. Lee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Daniel A. Lee Line = papers co-authored together Daniel A. Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012379
2 2010299
3 201397
4 201278
5 201471
6 201066
7 201665
8 201455
9 201348
10 200245
11 201743
12 202040
13 200229
14 201926
15 201324
16 200723
17 202016
18 202015
19 19948
20 20137

About Daniel A. Lee

Daniel A. Lee is a scholar working on Molecular Biology, Developmental Neuroscience, Endocrine and Autonomic Systems, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (7 papers), Sleep and Wakefulness Research (6 papers), Epigenetics and DNA Methylation (6 papers), Regulation of Appetite and Obesity (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Circadian rhythm and melatonin (3 papers), Organic Electronics and Photovoltaics (2 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Developmental Neuroscience (397 citations), Endocrine and Autonomic Systems (440 citations), Aging (34 citations), Cellular and Molecular Neuroscience (224 citations) and Cognitive Neuroscience (196 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, David A. Prober, Joseph L. Bedont, Vanessa Charubhumi, Hirohide Takebayashi, Hong Wang and Juan Song. Their work appears in journals such as International Journal of Developmental Neuroscience, eLife, Nature Neuroscience, Journal of Visualized Experiments and Current Biology.

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.

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