Shengnan Liang

771 total citations
44 papers, 561 citations indexed

About

Shengnan Liang is a scholar working on Molecular Biology, Food Science and Obstetrics and Gynecology. According to data from OpenAlex, Shengnan Liang has authored 44 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Food Science and 8 papers in Obstetrics and Gynecology. Recurrent topics in Shengnan Liang's work include Probiotics and Fermented Foods (9 papers), Pregnancy and preeclampsia studies (7 papers) and Gut microbiota and health (7 papers). Shengnan Liang is often cited by papers focused on Probiotics and Fermented Foods (9 papers), Pregnancy and preeclampsia studies (7 papers) and Gut microbiota and health (7 papers). Shengnan Liang collaborates with scholars based in China, Nigeria and South Korea. Shengnan Liang's co-authors include Chengsheng Liu, Dongsu Cha, Qifeng Dang, Bailiang Li, Jingquan Yan, Bing Fan, Yubei Zhang, Guicheng Huo, Qingxue Chen and Smith Etareri Evivie and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Carbohydrate Polymers.

In The Last Decade

Shengnan Liang

41 papers receiving 555 citations

Peers

Shengnan Liang
Comparison fields: 5 of 95
  • Molecular Biology 217
  • Food Science 161
  • Nutrition and Dietetics 92
  • Biomaterials 80
  • Plant Science 58
Replace Saira Khan with:
Saira Khan United States
Showkeen Muzamil Bashir India
Mengqi Wu China
Ronita De India
‪Mahdieh Shirzad Iran
Limeng Zhu China
Raquel Silva Araújo Brazil
Anupma Dwivedi Thailand
Anisha Mazumder South Africa
Brice Moulari France
Saira Khan United States View profile →
Citations per field, relative to Shengnan Liang
Shengnan Liang · 1×
Citations per year, relative to Shengnan Liang
Shengnan Liang · 1×

Countries citing papers authored by Shengnan Liang

Since Specialization
Citations

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

Fields of papers citing papers by Shengnan Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengnan Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Shengnan Liang. A scholar is included among the top collaborators of Shengnan Liang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shengnan Liang. Shengnan Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 1
4 4
5 2
6 1
7 0
8 9
9 50
10 2
11 19
12 16
13 11
14 26
15 5
16 3
17 20
18 54
19 3
20
Inhibition of rat lens aldose reductase by quercetagetin and patuletin.
7

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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