Dan Wu

4.0k citations
182 papers · 2.6k · 1 hit paper · h-index 25

Impact in

Papers in

Dan Wu

162 papers receiving 2.6k citations

Dan Wu's Hit Papers

Comparison of gut microbiota in exclusively breast-fed and formula-fed babies: a study of 91 term infants 2020 · 221 citations
2210+2+4Years since publication50100150200

Peers

Dan Wu
Comparison fields: 5 of 142
  • Radiology, Nuclear Medicine and Imaging 883
  • Cognitive Neuroscience 398
  • Pediatrics, Perinatology and Child Health 338
  • Developmental Neuroscience 66
  • Neurology 129
Replace Mark M. Stecker with:
Mark M. Stecker United States
Jeffrey R. Petrella United States
Johannes Slotboom Switzerland
Masafumi Harada Japan
Matthan W.A. Caan Netherlands
Andrea Soricelli Italy
James P. Boardman United Kingdom
Valérie Biran France
Dan Wu relative to Mark M. Stecker United States Mark M. Stecker's profile →
Citations per field
00.5×2.9×
Mark M. Stecker · 1×
Citations per year

Countries citing papers authored by Dan Wu

Since Specialization
Citations

This map shows the geographic impact of Dan 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 Dan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Wu more than expected).

Fields of papers citing papers by Dan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan 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 Dan Wu. The network helps show where Dan Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Dan 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 Dan Wu Line = papers co-authored together Dan Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 182 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Comparison of gut microbiota in exclusively breast-fed and formula-fed babies: a study of 91 term infants
Hit paper breakdown →
2020221
2 2016168
3 201590
4 201986
5 201367
6 202262
7 201456
8 202055
9 201655
10 202253
11 202252
12 201651
13 201938
14 201736
15 202335
16 202033
17 201533
18 201932
19 202329
20 202229

About Dan Wu

Dan Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health, Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience, having authored 182 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (62 papers), Advanced MRI Techniques and Applications (39 papers), Functional Brain Connectivity Studies (28 papers), Neonatal and fetal brain pathology (27 papers), Fetal and Pediatric Neurological Disorders (25 papers), MRI in cancer diagnosis (19 papers), Lanthanide and Transition Metal Complexes (9 papers) and Pregnancy and preeclampsia studies (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (883 citations), Cognitive Neuroscience (398 citations), Pediatrics, Perinatology and Child Health (338 citations), Developmental Neuroscience (66 citations) and Neurology (129 citations). Dan Wu has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Jiangyang Zhang, Yi Zhang, Susumu Mori, Michael I. Miller, Frances J. Northington, Can Ceritoglu, Yi Sun, Yue Li, Andréia V. Faria and Zhiyong Zhao. Their work appears in journals such as NeuroImage, Magnetic Resonance in Medicine, Journal of Magnetic Resonance Imaging, European Radiology and Human Brain Mapping.

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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