Mu Sun

1.5k citations
26 papers · 1.2k · h-index 17

Impact in

Papers in

Mu Sun

24 papers receiving 1.2k citations

Peers

Mu Sun
Comparison fields: 5 of 92
  • Developmental Neuroscience 207
  • Cellular and Molecular Neuroscience 572
  • Aging 34
  • Neurology 124
  • Behavioral Neuroscience 41
Replace Hans Lipp with:
Hans Lipp Switzerland
Erica Korb United States
Verónica T. Cheli United States
Stylianos Kosmidis United States
José P. López‐Atalaya Spain
Neela Patel United States
Cindy W. Tom United States
Elizabeth A. Nigh United States
Eduardo Weruaga Spain
Lukasz Swiech Poland
Mu Sun relative to Hans Lipp Switzerland Hans Lipp's profile →
Citations per field
00.5×4.8×
Hans Lipp · 1×
Citations per year

Countries citing papers authored by Mu Sun

Since Specialization
Citations

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

Fields of papers citing papers by Mu Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005137
2 2006123
3 2011112
4 201298
5 201397
6 200393
7 200459
8 200259
9 200658
10 201356
11 202155
12 200751
13 201046
14 201345
15 201527
16 200925
17 201018
18 201615
19 201512
20 201810

About Mu Sun

Mu Sun is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Developmental Neuroscience and Neurology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Memory and Neural Mechanisms (5 papers), Axon Guidance and Neuronal Signaling (4 papers), TGF-β signaling in diseases (4 papers), Alzheimer's disease research and treatments (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Neonatal and fetal brain pathology (2 papers). The work is most often cited by research in Developmental Neuroscience (207 citations), Cellular and Molecular Neuroscience (572 citations), Aging (34 citations), Neurology (124 citations) and Behavioral Neuroscience (41 citations). Mu Sun has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Michael B. O’Connor, Alexander Dityatev, Michael Georgieff, Melitta Schachner, Lyric A. Jorgenson, Alexander G. Nikonenko, Oleg Senkov, Melitta Schachner, Rita Gerardy‐Schahn and Birgit Weinhold. Their work appears in journals such as Journal of Neuroscience, Molecular and Cellular Neuroscience, PLoS ONE, Neuroscience and Hippocampus.

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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