Sha Sha

1.4k citations
45 papers · 1.0k · 1 hit paper · h-index 17

Impact in

Papers in

Sha Sha

43 papers receiving 1.0k citations

Sha Sha's Hit Papers

Microbiota in neuroinflammation and synaptic dysfunction: a focus on Alzheimer’s disease 2022 · 237 citations
2370+1+2Years since publication50100150200

Peers

Sha Sha
Comparison fields: 5 of 91
  • Biological Psychiatry 144
  • Developmental Neuroscience 70
  • Behavioral Neuroscience 52
  • Sensory Systems 65
  • Neurology 101
Replace Kazuhiro Kurokawa with:
Kazuhiro Kurokawa Japan
Wataru Nemoto Japan
Kazuya Miyagawa Japan
Xu Wu China
Haifeng Shu China
Burak Yuluğ Türkiye
Dorit Farfara Israel
Siresha Bathina United States
Ana Feliú Spain
Xiu‐Qing Yao China
Sha Sha relative to Kazuhiro Kurokawa Japan Kazuhiro Kurokawa's profile →
Citations per field
00.5×2.7×
Kazuhiro Kurokawa · 1×
Citations per year

Countries citing papers authored by Sha Sha

Since Specialization
Citations

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

Fields of papers citing papers by Sha Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Microbiota in neuroinflammation and synaptic dysfunction: a focus on Alzheimer’s disease
Hit paper breakdown →
2022237
2 2019120
3 202068
4 201665
5 201358
6 201639
7 201536
8 201428
9 201728
10 201525
11 201823
12 201519
13 201819
14 201318
15 202017
16 202217
17 202416
18 201414
19 201714
20 201314

About Sha Sha

Sha Sha is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Sensory Systems, Cognitive Neuroscience and Neurology, having authored 45 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Ion Channels and Receptors (7 papers), Pharmacological Receptor Mechanisms and Effects (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Gut microbiota and health (3 papers), Receptor Mechanisms and Signaling (3 papers) and Nicotinic Acetylcholine Receptors Study (3 papers). The work is most often cited by research in Biological Psychiatry (144 citations), Developmental Neuroscience (70 citations), Behavioral Neuroscience (52 citations), Sensory Systems (65 citations) and Neurology (101 citations). Sha Sha has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ling Chen, Cynthia A. Lemere, Harry Sokol, Slavica Krantic, Nathalie Rolhion, Guillaume Dorothée, Lei Chen, Lin Li, Yimei Du and Zihong Lu. Their work appears in journals such as Molecular Neurobiology, Journal of Affective Disorders, Neuropharmacology, Glia and Frontiers in 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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