Xiaoling Cai

4.1k citations
185 papers · 2.7k indexed · h-index 27

Impact in

Papers in

    • Diabetes Treatment and Management 77
    • Diabetes Management and Research 42
    • Diabetes, Cardiovascular Risks, and Lipoproteins 16
    • Microbial Natural Products and Biosynthesis 14
    • Pharmacology and Obesity Treatment 11

Xiaoling Cai

174 papers receiving 2.7k citations

Peers

Xiaoling Cai
Comparison fields: 5 of 146
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Pharmacology 550
  • Biotechnology 209
  • Nephrology 96
  • Toxicology 42
Replace Chu‐Huang Chen with:
Chu‐Huang Chen Taiwan
Jing Gong China
Cheng Zhang China
Yuanyuan Shi China
Geneviève Renier Canada
Maria Notarnicola Italy
Maria Gabriella Caruso Italy
Naga Venkata K. Pothineni United States
Choon Hee Chung South Korea
Nanwei Tong China
Xiaoling Cai relative to Chu‐Huang Chen Taiwan Chu‐Huang Chen's profile →
Citations per field
00.5×3.9×
Chu‐Huang Chen · 1×
Citations per year

Countries citing papers authored by Xiaoling Cai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 185 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017137
2 2008122
3 201882
4 200981
5 201980
6 201977
7 200869
8 202065
9 200754
10 201554
11 201750
12 201747
13 202147
14 201745
15 201444
16 201743
17 200743
18 200643
19 201437
20 201937

About Xiaoling Cai

Xiaoling Cai is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology, Toxicology, Nephrology and Surgery, having authored 185 papers that have together received 2.7k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (77 papers), Diabetes Management and Research (42 papers), Metabolism, Diabetes, and Cancer (33 papers), Pancreatic function and diabetes (32 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers), Microbial Natural Products and Biosynthesis (14 papers), Diabetes and associated disorders (13 papers) and Pharmacology and Obesity Treatment (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Pharmacology (550 citations), Biotechnology (209 citations), Nephrology (96 citations) and Toxicology (42 citations). Xiaoling Cai has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Linong Ji, Wenjia Yang, Xueyao Han, Linong Ji, Xueying Gao, Fang Lv, Yifei Chen, Yongcheng Lin, Chu Lin and Zhigang She. Their work appears in journals such as Frontiers in Endocrinology, Diabetes Obesity and Metabolism, Magnetic Resonance in Chemistry, Journal of Diabetes and PLoS ONE.

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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