Xiaomin Liang

29 papers receiving 450 citations

Peers

Xiaomin Liang
Comparison fields: 5 of 93
  • Endocrine and Autonomic Systems 93
  • Endocrinology, Diabetes and Metabolism 54
  • Physiology 75
  • Molecular Biology 197
  • Cancer Research 42
Replace Ying‐Hsin Chen with:
Ying‐Hsin Chen Taiwan
Antonio J. López-Gambero Spain
Jessica I. Cohen United States
Chanisa Thonusin Thailand
Jiang‐Rui Zhou China
Yi-Hsueh Lu United States
Jia-Le Lv China
Sam Mathai New Zealand
Shanti Diwakarla Australia
Takako Gotohda Japan
Xiaomin Liang relative to Ying‐Hsin Chen Taiwan Ying‐Hsin Chen's profile →
Citations per field
00.5×2.7×
Ying‐Hsin Chen · 1×
Citations per year

Countries citing papers authored by Xiaomin Liang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomin Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200776
2 201849
3 201449
4 201141
5 200836
6 201627
7 200924
8 202219
9 201316
10 201416
11 202115
12 200914
13 202212
14 20228
15 20238
16 20236
17 20246
18 20216
19 20145
20 20234

About Xiaomin Liang

Xiaomin Liang is a scholar working on Molecular Biology, Physiology, Endocrine and Autonomic Systems, Surgery and Endocrinology, Diabetes and Metabolism, having authored 30 papers that have together received 455 indexed citations. Recurring topics across this work include Gut microbiota and health (8 papers), Metabolism, Diabetes, and Cancer (4 papers), Neuroscience of respiration and sleep (4 papers), Pancreatic function and diabetes (3 papers), Oral microbiology and periodontitis research (3 papers), Salivary Gland Disorders and Functions (3 papers), Sleep and Wakefulness Research (3 papers) and Forensic and Genetic Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (93 citations), Endocrinology, Diabetes and Metabolism (54 citations), Physiology (75 citations), Molecular Biology (197 citations) and Cancer Research (42 citations). Xiaomin Liang has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Cancan Zhang, Zhenxiong Zhang, Fadi Xu, Xiaojiang Jiang, Zhi‐Qiang Xu, Sook Wah Yee, Chunxia Zhu, Lang Bai, Yong Lin and Jianguo Zhuang. Their work appears in journals such as International Journal of Legal Medicine, Frontiers in Microbiology, Aquaculture, Forensic Science International and Cell Biochemistry and Biophysics.

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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