Mark N. Wu

6.1k citations
70 papers · 4.4k · 1 hit paper · h-index 32

Impact in

Papers in

Mark N. Wu

69 papers receiving 4.3k citations

Mark N. Wu's Hit Papers

Self-reported Sleep and β-Amyloid Deposition in Community-Dwelling Older Adults 2013 · 439 citations
4390+4+8Years since publication100200300400

Peers

Mark N. Wu
Comparison fields: 5 of 132
  • Endocrine and Autonomic Systems 1.2k
  • Aging 164
  • Cellular and Molecular Neuroscience 1.7k
  • Experimental and Cognitive Psychology 838
  • Cognitive Neuroscience 1.1k
Replace Nirinjini Naidoo with:
Nirinjini Naidoo United States
Patrick M. Nolan United Kingdom
Wayne N. Frankel United States
J. Peter H. Burbach Netherlands
William J. Joiner United States
Gi Hoon Son South Korea
Morten Møller Denmark
John E. Zimmerman United States
Qun‐Yong Zhou United States
Patrick H. Roseboom United States
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Citations per field
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Citations per year

Countries citing papers authored by Mark N. Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mark N. Wu Line = papers co-authored together Mark N. Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 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 →
2013439
2 2002390
3 2008259
4 2014230
5 2016224
6 2012222
7 2017215
8 1999174
9 1998166
10 2000144
11 2015141
12 2015135
13 2014113
14 2009112
15 2016109
16 200994
17 200891
18 201784
19 202076
20 201976

About Mark N. Wu

Mark N. Wu is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Cognitive Neuroscience, Experimental and Cognitive Psychology and Molecular Biology, having authored 70 papers that have together received 4.4k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (27 papers), Circadian rhythm and melatonin (25 papers), Sleep and Wakefulness Research (21 papers), Sleep and related disorders (18 papers), Cellular transport and secretion (6 papers), Insect and Arachnid Ecology and Behavior (5 papers), Photoreceptor and optogenetics research (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.2k citations), Aging (164 citations), Cellular and Molecular Neuroscience (1.7k citations), Experimental and Cognitive Psychology (838 citations) and Cognitive Neuroscience (1.1k citations). Mark N. Wu has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Adam P. Spira, Sha Liu, Qili Liu, Hugo J. Bellen, Thomas E. Lloyd, Masashi Tabuchi, Kyunghee Koh, Amita Sehgal, Zhifeng Yue and Luigi Ferrucci. Their work appears in journals such as Current Biology, SLEEP, Neuron, Journal of Neuroscience and 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.

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