Ning Liang

157 papers receiving 2.4k citations

Ning Liang's Hit Papers

Resistant starch and the gut microbiome: Exploring beneficial interactions and dietary impacts 2024 · 62 citations
620+1Years since publication204060

Peers

Ning Liang
Comparison fields: 5 of 174
  • Health Informatics 25
  • Cancer Research 232
  • Cell Biology 234
  • Oncology 317
  • Complementary and alternative medicine 81
Replace Bin Zhang with:
Bin Zhang China
Dandan Li China
Ke Wang China
Hao Tang China
Qiong Wang China
Michele Miragoli Italy
Jingjing Wu China
Han‐Soo Kim South Korea
Yunlong Xia China
Bingyan Li China
Ning Liang relative to Bin Zhang China Bin Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ning Liang

Since Specialization
Citations

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

Fields of papers citing papers by Ning Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 171 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015182
2 2020170
3 2014169
4 201698
5 202392
6 202186
7 201786
8 201677
9
Resistant starch and the gut microbiome: Exploring beneficial interactions and dietary impacts
Hit paper breakdown →
202462
10 201355
11 202253
12 201450
13 201550
14 201745
15 201936
16 200635
17 202135
18 202234
19 200631
20 201727

About Ning Liang

Ning Liang is a scholar working on Molecular Biology, Oncology, Materials Chemistry, Epidemiology and Immunology, having authored 171 papers that have together received 2.5k indexed citations. Recurring topics across this work include Surface Modification and Superhydrophobicity (8 papers), Liver Disease Diagnosis and Treatment (6 papers), Acupuncture Treatment Research Studies (5 papers), Hepatitis B Virus Studies (5 papers), Hippo pathway signaling and YAP/TAZ (5 papers), Silicone and Siloxane Chemistry (5 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Traditional Chinese Medicine Studies (5 papers). The work is most often cited by research in Health Informatics (25 citations), Cancer Research (232 citations), Cell Biology (234 citations), Oncology (317 citations) and Complementary and alternative medicine (81 citations). Ning Liang has collaborated with scholars based in China, Denmark and United Kingdom. Frequent co-authors include Jiandong Zhang, Lili Qiao, Fan-Long Bu, Ran Li, Thérèse Hesketh, Jian Xie, Fengjun Liu, Guodong Deng, Nannan Shi and Xinshuang Yu. Their work appears in journals such as Cochrane Database of Systematic Reviews, Medicine, Journal of Cellular and Molecular Medicine, RSC Advances and The Journal of Alternative and Complementary 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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