Shuke Nie

2.0k citations
42 papers · 1.3k · 1 hit paper · h-index 17

Impact in

    • Water resources management and optimization
  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments

Papers in

Shuke Nie

42 papers receiving 1.3k citations

Shuke Nie's Hit Papers

Propagation of pathologic α-synuclein from kidney to brain may contribute to Parkinson’s disease 2025 · 26 citations
260Years since publication510152025

Peers

Shuke Nie
Comparison fields: 5 of 132
  • Ocean Engineering 233
  • Neurology 197
  • Cellular and Molecular Neuroscience 193
  • Neurology 70
  • Water Science and Technology 111
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Shuke Nie relative to Kebing Chen China Kebing Chen's profile →
Citations per field
00.5×2×4×6×7.9×
Kebing Chen · 1×
Citations per year

Countries citing papers authored by Shuke Nie

Since Specialization
Citations

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

Fields of papers citing papers by Shuke Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014214
2 2020112
3 202096
4 200591
5 200782
6 200767
7 201560
8 200658
9 201557
10 200734
11 201933
12 201932
13 201530
14 200528
15
Propagation of pathologic α-synuclein from kidney to brain may contribute to Parkinson’s disease
Hit paper breakdown →
202526
16 201824
17 201723
18 201816
19 202016
20 201816

About Shuke Nie

Shuke Nie is a scholar working on Neurology, Cellular and Molecular Neuroscience, Molecular Biology, Neurology and Ocean Engineering, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (12 papers), Neuroscience and Neuropharmacology Research (7 papers), Alzheimer's disease research and treatments (6 papers), Water resources management and optimization (6 papers), Nerve injury and regeneration (6 papers), Neurological diseases and metabolism (4 papers), Water Systems and Optimization (4 papers) and Water-Energy-Food Nexus Studies (3 papers). The work is most often cited by research in Ocean Engineering (233 citations), Neurology (197 citations), Cellular and Molecular Neuroscience (193 citations), Neurology (70 citations) and Water Science and Technology (111 citations). Shuke Nie has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Guohe Huang, Yongping Li, Xuebing Cao, Guiqin Chen, Yunjian Zhang, Zhentao Zhang, X.H. Nie, Zhaohui Zhang, Guoxin Zhang and Liming Liu. Their work appears in journals such as Advanced Science, Frontiers in Cellular Neuroscience, Frontiers in Aging Neuroscience, Parkinson s Disease and Environmental Modeling & Assessment.

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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