Xiaoli Nie

893 citations
40 papers · 656 · h-index 16

Impact in

    • MicroRNA in disease regulation
    • Cancer, Lipids, and Metabolism
  • Nephrology top 10%
    • Chronic Kidney Disease and Diabetes

Papers in

Xiaoli Nie

40 papers receiving 645 citations

Peers

Xiaoli Nie
Comparison fields: 5 of 97
  • Cancer Research 94
  • Nephrology 43
  • Complementary and alternative medicine 29
  • Reproductive Medicine 29
  • Molecular Biology 247
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Citations per field
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Citations per year

Countries citing papers authored by Xiaoli Nie

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoli 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 Xiaoli Nie Line = papers co-authored together Xiaoli Nie 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 202049
2 202047
3 202245
4 202241
5 200439
6 202337
7 201631
8 201630
9 202027
10 202225
11 202225
12
Fisetin regulates gut microbiota to decrease CCR9+/CXCR3+/CD4+ T-lymphocyte count and IL-12 secretion to alleviate premature ovarian failure in mice.
202024
13 202223
14 202018
15 202215
16 202315
17 201914
18
Catalpol alleviates renal damage by improving lipid metabolism in diabetic db/db mice.
201813
19 201812
20 202411

About Xiaoli Nie

Xiaoli Nie is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Rheumatology and Complementary and alternative medicine, having authored 40 papers that have together received 656 indexed citations. Recurring topics across this work include Gut microbiota and health (5 papers), Ferroptosis and cancer prognosis (4 papers), Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (3 papers), Epigenetics and DNA Methylation (2 papers), Chemotherapy-induced organ toxicity mitigation (2 papers), Immune Cell Function and Interaction (2 papers) and Traditional Chinese Medicine Analysis (2 papers). The work is most often cited by research in Cancer Research (94 citations), Nephrology (43 citations), Complementary and alternative medicine (29 citations), Reproductive Medicine (29 citations) and Molecular Biology (247 citations). Xiaoli Nie has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Te Liu, Zixiang Geng, Ren Luo, Te Liu, Jiajia Lin, Haiyang Chen, Lifen Xie, Qi Xue, Jiulin Chen and Chuan Chen. Their work appears in journals such as Frontiers in Pharmacology, Annals of Translational Medicine, Oxidative Medicine and Cellular Longevity, Journal of Cancer and Evidence-based Complementary and Alternative Medicine.

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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