Ling Ning

432 citations
20 papers · 341 · h-index 12

Impact in

Papers in

Ling Ning

20 papers receiving 340 citations

Peers

Ling Ning
Comparison fields: 5 of 75
  • Complementary and alternative medicine 33
  • Molecular Medicine 17
  • Infectious Diseases 45
  • Obstetrics and Gynecology 16
  • Cancer Research 28
Replace Beata Gruber with:
Beata Gruber Poland
Zhiheng Sun China
Subathra Radhakrishnan India
Anantha Ram Nookala United States
Yanan Lu China
Mansi Srivastava India
Divya Gopalan India
Ruizhen Jia China
Shihui Bao China
Ling Ning relative to Beata Gruber Poland Beata Gruber's profile →
Citations per field
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Beata Gruber · 1×
Citations per year

Countries citing papers authored by Ling Ning

Since Specialization
Citations

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

Fields of papers citing papers by Ling Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201658
2 202054
3 201926
4 201624
5 201522
6 201621
7 201720
8 201719
9 201518
10 202316
11 201814
12 201414
13 201711
14
Examining the association of circulating 25-hydroxyvitamin D with kidney cancer risk: a meta-analysis.
201510
15 20206
16 20212
17
[Evaluation on the cytotoxicity of Gallium alloy by MTT-assay].
20012
18 20252
19
Effect of Paenibacillus polymyxa SQR-21 on root secreted proteins of watermelon.
20151
20 20211

About Ling Ning

Ling Ning is a scholar working on Molecular Biology, Materials Chemistry, Complementary and alternative medicine, Infectious Diseases and Surgery, having authored 20 papers that have together received 341 indexed citations. Recurring topics across this work include Luminescence and Fluorescent Materials (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Medicinal Plants and Neuroprotection (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 Clinical Research Studies (2 papers), Nanoplatforms for cancer theranostics (2 papers) and Heat shock proteins research (1 paper). The work is most often cited by research in Complementary and alternative medicine (33 citations), Molecular Medicine (17 citations), Infectious Diseases (45 citations), Obstetrics and Gynecology (16 citations) and Cancer Research (28 citations). Ling Ning has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Hongyi Qi, Hui Ma, Liqun Xu, Lin Yang, Li Li, Chang Ming Li, Qianfeng Chen, Lu Chen, Xue Hu and Li Li. Their work appears in journals such as Dyes and Pigments, Journal of Agricultural and Food Chemistry, American Journal of Transplantation, Andrologia and Journal of Viral Hepatitis.

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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