Mark N. Wu
Impact in
- Endocrine and Autonomic Systems top 0.5%
- Circadian rhythm and melatonin
- Aging top 2%
Papers in
-
- Circadian rhythm and melatonin 26
-
- Neurobiology and Insect Physiology Research 26
- Photoreceptor and optogenetics research 5
- Co-authors
- Adam Spira (25 shared papers)Sha Liu (10 shared papers)Qili Liu (9 shared papers)Hugo Jozef Bellen (7 shared papers)Thomas E. Lloyd (8 shared papers)Masashi Tabuchi (11 shared papers)Kyunghee Koh (7 shared papers)Amita Sehgal (6 shared papers)
- Journals
- Current Biology (9 papers)SLEEP (7 papers)Neuron (5 papers)Cell (4 papers)Journal of Neuroscience (3 papers)
- Partner nations
- United StatesChinaBelgium
In The Last Decade
Mark N. Wu
75 papers receiving 4.5k citations
Mark N. Wu's Hit Papers
Peers
Comparison fields: 5 of 135
- Endocrine and Autonomic Systems 1.2k
- Aging 167
- Cellular and Molecular Neuroscience 1.6k
- Experimental and Cognitive Psychology 883
- Cognitive Neuroscience 1.2k
Countries citing papers authored by Mark N. Wu
This map shows the geographic impact of Mark N. Wu'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 Mark N. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark N. Wu more than expected).
Fields of papers citing papers by Mark N. Wu
This network shows the impact of papers produced by Mark N. Wu. 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 Mark N. Wu. The network helps show where Mark N. Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark N. Wu, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Self-reported Sleep and β-Amyloid Deposition in Community-Dwelling Older Adults Hit paper breakdown → | 2013 | 459 |
| 2 | 2002 | 387 | |
| 3 | 2008 | 253 | |
| 4 | 2014 | 249 | |
| 5 | 2017 | 228 | |
| 6 | 2016 | 224 | |
| 7 | 2012 | 221 | |
| 8 | 1999 | 175 | |
| 9 | 1998 | 169 | |
| 10 | 2000 | 144 | |
| 11 | 2015 | 143 | |
| 12 | 2015 | 139 | |
| 13 | 2016 | 120 | |
| 14 | 2014 | 113 | |
| 15 | 2009 | 109 | |
| 16 | 2009 | 91 | |
| 17 | 2008 | 87 | |
| 18 | 2017 | 85 | |
| 19 | 2019 | 76 | |
| 20 | 2020 | 76 |
About Mark N. Wu
Mark N. Wu is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Experimental and Cognitive Psychology, Cognitive Neuroscience and Cell Biology, having authored 77 papers that have together received 4.6k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (26 papers), Neurobiology and Insect Physiology Research (26 papers), Sleep and Wakefulness Research (23 papers), Sleep and related disorders (21 papers), Cellular transport and secretion (7 papers), Photoreceptor and optogenetics research (5 papers), Insect and Arachnid Ecology and Behavior (4 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.2k citations), Aging (167 citations), Cellular and Molecular Neuroscience (1.6k citations), Experimental and Cognitive Psychology (883 citations) and Cognitive Neuroscience (1.2k citations). Mark N. Wu has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Adam Spira, Sha Liu, Qili Liu, Hugo Jozef Bellen, Thomas E. Lloyd, Masashi Tabuchi, Kyunghee Koh, Amita Sehgal, Zhifeng Yue and Eleanor Marie Simonsick. Their work appears in journals such as Current Biology, SLEEP, Neuron, Cell and Journal of Neuroscience.
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.