Xueling Cui

810 citations
39 papers · 644 · h-index 15

Impact in

    • Liver physiology and pathology
    • TGF-β signaling in diseases
    • Bone Metabolism and Diseases
    • Muscle Physiology and Disorders
    • Metabolism, Diabetes, and Cancer

Papers in

    • TGF-β signaling in diseases 21
    • Bone Metabolism and Diseases 5
    • Metabolism, Diabetes, and Cancer 3
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
    • Immune Cell Function and Interaction 3

Xueling Cui

38 papers receiving 637 citations

Peers

Xueling Cui
Comparison fields: 5 of 88
  • Hepatology 39
  • Molecular Biology 361
  • Immunology 102
  • Rheumatology 61
  • Cancer Research 59
Replace Szandor Simmons with:
Szandor Simmons Germany
Evelina Fagone Italy
Chengbo Fang China
Matteo Lucchini Italy
Wujun Xue China
Yan Qi China
Ei Wakamatsu Japan
Mahmoud Al‐Azab China
Juryun Kim South Korea
Xueling Cui relative to Szandor Simmons Germany Szandor Simmons's profile →
Citations per field
00.5×3.5×
Szandor Simmons · 1×
Citations per year

Countries citing papers authored by Xueling Cui

Since Specialization
Citations

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

Fields of papers citing papers by Xueling Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008134
2 201647
3 200935
4 202032
5 201229
6 200929
7 201727
8 201327
9 201927
10 201722
11 201722
12 202119
13 201917
14 201417
15 202014
16 201813
17 201911
18 200910
19 202210
20 20129

About Xueling Cui

Xueling Cui is a scholar working on Molecular Biology, Immunology, Oncology, Epidemiology and Surgery, having authored 39 papers that have together received 644 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (21 papers), Bone Metabolism and Diseases (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Cancer Cells and Metastasis (3 papers), Immune Cell Function and Interaction (3 papers), Heterotopic Ossification and Related Conditions (3 papers) and Pancreatic and Hepatic Oncology Research (3 papers). The work is most often cited by research in Hepatology (39 citations), Molecular Biology (361 citations), Immunology (102 citations), Rheumatology (61 citations) and Cancer Research (59 citations). Xueling Cui has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Zhonghui Liu, Jingyan Ge, Yan Qi, Tatsuya Murakami, Masashi Nakatani, Akiyoshi Uezumi, Kunihiro Tsuchida, Yinan Wang, Francis Lin and Haiyan Liu. Their work appears in journals such as Scientific Reports, Cells, PLoS ONE, Experimental Cell Research and Oncology Reports.

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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