Suya Sun

1.2k citations
23 papers · 916 · h-index 15

Impact in

Papers in

    • Neuroscience and Neuropharmacology Research 10
    • Axon Guidance and Neuronal Signaling 9
    • Neuropeptides and Animal Physiology 2
    • Alzheimer's disease research and treatments 9
    • Biochemical effects in animals 3

Suya Sun

23 papers receiving 908 citations

Peers

Suya Sun
Comparison fields: 5 of 75
  • Sensory Systems 137
  • Developmental Neuroscience 105
  • Cellular and Molecular Neuroscience 442
  • Biological Psychiatry 50
  • Physiology 329
Replace Ekaterina Pchitskaya with:
Ekaterina Pchitskaya Russia
Evgeny A. Sametsky United States
А. Н. Самохин Russia
Anna M. Hagenston Germany
Roser Masgrau Spain
Eugene Bok South Korea
Tian-Le Xu China
Jesús M. Hernández‐Guijo Spain
Adele Woodhouse Australia
Nima Dolatabadi United States
Suya Sun relative to Ekaterina Pchitskaya Russia Ekaterina Pchitskaya's profile →
Citations per field
00.5×2.6×
Ekaterina Pchitskaya · 1×
Citations per year

Countries citing papers authored by Suya Sun

Since Specialization
Citations

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

Fields of papers citing papers by Suya Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014237
2 2016120
3 201665
4 201162
5 201462
6 201559
7 202044
8 201943
9 201640
10 201339
11 202027
12 201626
13 202021
14 202216
15 201914
16 202011
17 20249
18 20236
19 20235
20 20195

About Suya Sun

Suya Sun is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Developmental Neuroscience and Cognitive Neuroscience, having authored 23 papers that have together received 916 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Alzheimer's disease research and treatments (9 papers), Axon Guidance and Neuronal Signaling (9 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Memory and Neural Mechanisms (4 papers), Biochemical effects in animals (3 papers), Medicinal Plants and Bioactive Compounds (3 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Sensory Systems (137 citations), Developmental Neuroscience (105 citations), Cellular and Molecular Neuroscience (442 citations), Biological Psychiatry (50 citations) and Physiology (329 citations). Suya Sun has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Ilya Bezprozvanny, Nan‐Jie Xu, Елена Попугаева, Hua Zhang, Jie Liu, Charles L. White, Stefan Feske, Qiongqiong Li, Ekaterina Pchitskaya and Mark Henkemeyer. Their work appears in journals such as Translational Neurodegeneration, ACS Chemical Neuroscience, Cellular and Molecular Neurobiology, Channels 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.

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