Shaoli Che

3.1k citations
40 papers · 2.6k · h-index 28

Impact in

  • Physiology top 1%
    • Alzheimer's disease research and treatments
  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Molecular Biology Techniques and Applications 8
    • Gene expression and cancer classification 7
    • RNA Research and Splicing 6
    • RNA and protein synthesis mechanisms 4
    • Alzheimer's disease research and treatments 14

Shaoli Che

40 papers receiving 2.6k citations

Peers

Shaoli Che
Comparison fields: 5 of 100
  • Physiology 1.2k
  • Neurology 359
  • Cellular and Molecular Neuroscience 639
  • Biological Psychiatry 78
  • Developmental Neuroscience 104
Replace Kengo Uemura with:
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Juha Laurén Finland
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Shaoli Che

Since Specialization
Citations

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

Fields of papers citing papers by Shaoli Che

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016275
2 2009250
3 2006230
4 2010225
5 2013116
6 2010110
7 2011105
8 200697
9 200797
10 200484
11 200477
12 201176
13 200667
14 200261
15 201659
16 201752
17 200552
18 200452
19 200950
20 199946

About Shaoli Che

Shaoli Che is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Cell Biology and Neurology, having authored 40 papers that have together received 2.6k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (14 papers), Molecular Biology Techniques and Applications (8 papers), Gene expression and cancer classification (7 papers), RNA Research and Splicing (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), RNA and protein synthesis mechanisms (4 papers), Microtubule and mitosis dynamics (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Physiology (1.2k citations), Neurology (359 citations), Cellular and Molecular Neuroscience (639 citations), Biological Psychiatry (78 citations) and Developmental Neuroscience (104 citations). Shaoli Che has collaborated with scholars based in United States, Austria and Canada. Frequent co-authors include Stephen D. Ginsberg, Scott Counts, Elliott J. Mufson, Ralph A. Nixon, Melissa J. Alldred, Melissa J. Alldred, Corrinne M. Peterhoff, Joanne Wuu, Joanne Wuu and Anne M. Cataldo. Their work appears in journals such as Laboratory Investigation, FEBS Letters, Neurochemical Research, Journal of Neurochemistry and Journal of Biological Chemistry.

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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