Xia Li

275 papers receiving 4.8k citations

Xia Li's Hit Papers

Global type 1 diabetes prevalence, incidence, and mortality estimates 2025: Results from the International diabetes Federation Atlas, 11th Edition, and the T1D Index Version 3.0 2025 · 47 citations
470Years since publication10203040

Peers

Xia Li
Comparison fields: 5 of 169
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Genetics 1.5k
  • Sensory Systems 151
  • Surgery 919
  • Cancer Research 302
Replace Huey‐Kang Sytwu with:
Huey‐Kang Sytwu Taiwan
Wei Lu China
Bingbing Wu China
Ertan Mayatepek Germany
Tadej Battelino Slovenia
Marina Di Domenico Italy
Ancha Baranova United States
Massimo Mangino United Kingdom
Jennifer L. Hall United States
Timothy D. Howard United States
Xia Li relative to Huey‐Kang Sytwu Taiwan Huey‐Kang Sytwu's profile →
Citations per field
00.5×3.0×
Huey‐Kang Sytwu · 1×
Citations per year

Countries citing papers authored by Xia Li

Since Specialization
Citations

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

Fields of papers citing papers by Xia Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 294 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012209
2 2019146
3 2020144
4 2015116
5 2009112
6 2014102
7 202284
8 201083
9 201976
10 201471
11 202070
12 201468
13 201167
14
[Replacement of insulin by fasting C-peptide in modified homeostasis model assessment to evaluate insulin resistance and islet beta cell function].
200465
15 202064
16 201363
17 200460
18 201657
19 200955
20 201955

About Xia Li

Xia Li is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery and Immunology, having authored 294 papers that have together received 4.9k indexed citations. Recurring topics across this work include Diabetes and associated disorders (92 papers), Diabetes Management and Research (49 papers), Pancreatic function and diabetes (30 papers), Circular RNAs in diseases (17 papers), Immune Cell Function and Interaction (11 papers), MicroRNA in disease regulation (8 papers), Mobile Health and mHealth Applications (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Genetics (1.5k citations), Sensory Systems (151 citations), Surgery (919 citations) and Cancer Research (302 citations). Xia Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhiguang Zhou, Gan Huang, Shuoming Luo, Jian Lin, Lin Yang, Mark A. Atkinson, Xiang Yan, Yuting Xie, Zhiguo Xie and Fang Liu. Their work appears in journals such as Diabetes/Metabolism Research and Reviews, The Journal of Clinical Endocrinology & Metabolism, Frontiers in Endocrinology, Diabetes Research and Clinical Practice and Diabetes.

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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