Xiaoke Nie

998 citations
32 papers · 808 · h-index 20

Impact in

Papers in

    • Wnt/β-catenin signaling in development and cancer 3
    • Neuroinflammation and Neurodegeneration Mechanisms 9

Xiaoke Nie

32 papers receiving 799 citations

Peers

Xiaoke Nie
Comparison fields: 5 of 93
  • Environmental Chemistry 182
  • Health, Toxicology and Mutagenesis 210
  • Biological Psychiatry 36
  • Neurology 98
  • Developmental Neuroscience 43
Replace Eduardo Brambila with:
Eduardo Brambila Mexico
Fengyuan Piao China
Fenghong Zhao China
Junkang Jiang China
Yingjun Liao China
Jianya Zhao China
Raquel Requejo-Aguilar Spain
Binukumar BK India
Carla Garza-Lombó Mexico
Sumonto Mitra Sweden
Xiaoke Nie relative to Eduardo Brambila Mexico Eduardo Brambila's profile →
Citations per field
00.5×1.5×2.1×
Eduardo Brambila · 1×
Citations per year

Countries citing papers authored by Xiaoke Nie

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoke Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201675
2 201349
3 201846
4 201445
5 201544
6 201643
7 201839
8 201336
9 201436
10 201329
11 201429
12 201828
13 201628
14 201527
15 201526
16 201423
17 201423
18 201522
19 201520
20 201719

About Xiaoke Nie

Xiaoke Nie is a scholar working on Molecular Biology, Neurology, Environmental Chemistry, Immunology and Nutrition and Dietetics, having authored 32 papers that have together received 808 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Per- and polyfluoroalkyl substances research (7 papers), Trace Elements in Health (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Immune Response and Inflammation (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Vitamin D Research Studies (3 papers) and Toxic Organic Pollutants Impact (3 papers). The work is most often cited by research in Environmental Chemistry (182 citations), Health, Toxicology and Mutagenesis (210 citations), Biological Psychiatry (36 citations), Neurology (98 citations) and Developmental Neuroscience (43 citations). Xiaoke Nie has collaborated with scholars based in China and Japan. Frequent co-authors include Shengyang Jiang, Chunhua Wan, Jiamin Mao, Jianya Zhao, Guangfei Xu, Junkang Jiang, Cheng Wang, Gang Chen, Qiyun Wu and Xiaoxu Chen. Their work appears in journals such as Neurochemical Research, Toxicology and Applied Pharmacology, NeuroToxicology, Journal of Molecular Neuroscience and Cellular and Molecular Neurobiology.

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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