Guoxian Ding

1.1k citations
35 papers · 798 · h-index 18

Impact in

Papers in

Guoxian Ding

35 papers receiving 791 citations

Peers

Guoxian Ding
Comparison fields: 5 of 92
  • Endocrinology, Diabetes and Metabolism 140
  • Aging 12
  • Physiology 154
  • Cancer Research 82
  • Health, Toxicology and Mutagenesis 70
Replace Ayman E. El-Sahar with:
Ayman E. El-Sahar Egypt
Edoardo Bertero Germany
Turgut Ulutin Türkiye
Juan A. Rodríguez-Feo Spain
Chunjiong Wang China
Erfei Song Hong Kong
Lai Ming Yung Hong Kong
Mingjun Gu China
Yuichiro Mita Japan
Stéphanie Eid United States
Guoxian Ding relative to Ayman E. El-Sahar Egypt Ayman E. El-Sahar's profile →
Citations per field
00.5×2.8×
Ayman E. El-Sahar · 1×
Citations per year

Countries citing papers authored by Guoxian Ding

Since Specialization
Citations

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

Fields of papers citing papers by Guoxian Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202080
2 201169
3 200855
4 201851
5 200848
6 201747
7 201846
8 201437
9 200936
10 201234
11 201731
12 201525
13 200724
14 201123
15 201122
16 201322
17 201121
18 201520
19 200615
20 201315

About Guoxian Ding

Guoxian Ding is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Pharmacology and Health, Toxicology and Mutagenesis, having authored 35 papers that have together received 798 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (7 papers), Inflammatory mediators and NSAID effects (5 papers), Adipose Tissue and Metabolism (5 papers), Toxic Organic Pollutants Impact (4 papers), Gut microbiota and health (2 papers), Thyroid Disorders and Treatments (2 papers), Dietary Effects on Health (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (140 citations), Aging (12 citations), Physiology (154 citations), Cancer Research (82 citations) and Health, Toxicology and Mutagenesis (70 citations). Guoxian Ding has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jing Yu, Yunlu Sheng, Wenjuan Di, Shan Lv, Yifan Lv, Yu Xie, Hanmei Qi, Wei‐Hao Sun, Yu Duan and Fan Xia. Their work appears in journals such as Cancer Letters, Toxicological Sciences, Acta Pharmacologica Sinica, PLoS ONE and Journal of Gastroenterology and Hepatology.

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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