Suling Huang

1.2k citations
33 papers · 680 · h-index 14

Impact in

Papers in

Suling Huang

30 papers receiving 671 citations

Peers

Suling Huang
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 117
  • Pharmacology 59
  • Biochemistry 42
  • Geriatrics and Gerontology 18
  • Toxicology 16
Replace Lei Lei with:
Lei Lei China
Marı́a Cristina Carrillo Argentina
Jaime Arellanes‐Robledo Mexico
Guanzhong Wu China
Nair Seiko Yamamoto Brazil
Xilan Tang China
Jin‐Ying Tian China
Jinyong Peng China
Mi Ae Kang South Korea
Shuang Ren China
Suling Huang relative to Lei Lei China Lei Lei's profile →
Citations per field
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Citations per year

Countries citing papers authored by Suling Huang

Since Specialization
Citations

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

Fields of papers citing papers by Suling Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010109
2 201192
3 202177
4 201953
5 201243
6 201840
7 202233
8 201528
9 202026
10 201824
11 201621
12 202415
13 201515
14 202113
15 201511
16 202110
17 202210
18 20228
19 20228
20 20217

About Suling Huang

Suling Huang is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Epidemiology, Physiology and Biochemistry, having authored 33 papers that have together received 680 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (7 papers), Liver Disease Diagnosis and Treatment (5 papers), Adipose Tissue and Metabolism (4 papers), Diet, Metabolism, and Disease (4 papers), Natural product bioactivities and synthesis (3 papers), Hormonal Regulation and Hypertension (3 papers), Lipid metabolism and biosynthesis (2 papers) and Plant-derived Lignans Synthesis and Bioactivity (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (117 citations), Pharmacology (59 citations), Biochemistry (42 citations), Geriatrics and Gerontology (18 citations) and Toxicology (16 citations). Suling Huang has collaborated with scholars based in China, Russia and United States. Frequent co-authors include Ying Leng, Ying Feng, Yu Shen, Mengmeng Ning, Ying Leng, Song Zhang, Zhuohui Zhao, Yangliang Ye, Jianhua Shen and Qin‐Shi Zhao. Their work appears in journals such as Acta Pharmacologica Sinica, Metabolism, European Journal of Medicinal Chemistry, Natural Products and Bioprospecting and International Journal of Molecular Sciences.

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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