Mu Sun
Impact in
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- Neuroscience and Neuropharmacology Research
- Neurobiology and Insect Physiology Research
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Neuroscience and Neuropharmacology Research 10
- Neurobiology and Insect Physiology Research 1
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- Iron Metabolism and Disorders 2
- Co-authors
- Michael B. O’Connor (6 shared papers)Melitta Schachner (5 shared papers)Alexander E. Dityatev (5 shared papers)Michael Georgieff (2 shared papers)Lyric A. Jorgenson (1 shared paper)Alexander G. Nikonenko (3 shared papers)Rita Gerardy‐Schahn (1 shared paper)Birgit Weinhold (1 shared paper)
- Journals
- Journal of Neuroscience (6 papers)Neuroscience (2 papers)PLoS ONE (2 papers)Molecular and Cellular Neuroscience (2 papers)Hippocampus (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Mu Sun
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 50
- Cellular and Molecular Neuroscience 266
- Developmental Neuroscience 37
- Hematology 94
- Biological Psychiatry 5
- Cognitive Neuroscience 79
Countries citing papers authored by Mu Sun
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
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.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 136 | |
| 2 | 2006 | 122 | |
| 3 | 2011 | 108 | |
| 4 | 2012 | 101 | |
| 5 | 2013 | 99 | |
| 6 | 2003 | 92 | |
| 7 | 2006 | 59 | |
| 8 | 2004 | 58 | |
| 9 | 2002 | 56 | |
| 10 | 2007 | 53 | |
| 11 | 2010 | 47 | |
| 12 | 2013 | 46 | |
| 13 | 2015 | 28 | |
| 14 | 2009 | 24 | |
| 15 | 2010 | 18 | |
| 16 | 2016 | 15 | |
| 17 | 2015 | 12 | |
| 18 | 2018 | 11 | |
| 19 | 2015 | 10 | |
| 20 | 2014 | 9 |
About Mu Sun
Mu Sun is a scholar working on Cellular and Molecular Neuroscience, Hematology, Cognitive Neuroscience, Physiology and Cell Biology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Iron Metabolism and Disorders (2 papers), Alzheimer's disease research and treatments (2 papers), Memory and Neural Mechanisms (2 papers), Proteoglycans and glycosaminoglycans research (1 paper) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (266 citations), Developmental Neuroscience (37 citations), Hematology (94 citations), Biological Psychiatry (5 citations) and Cognitive Neuroscience (79 citations). Mu Sun has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Michael B. O’Connor, Melitta Schachner, Alexander E. Dityatev, Michael Georgieff, Lyric A. Jorgenson, Alexander G. Nikonenko, Rita Gerardy‐Schahn, Birgit Weinhold, Oleg Senkov and Jonathan C. Gewirtz. Their work appears in journals such as Journal of Neuroscience, Neuroscience, PLoS ONE, Molecular and Cellular 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.