Xiaoling Guo

1.3k citations
64 papers · 1.1k · h-index 19

Impact in

  • Physiology top 5%
    • Adenosine and Purinergic Signaling
    • Lysosomal Storage Disorders Research
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Pluripotent Stem Cells Research 9
    • Renal and related cancers 5
    • CRISPR and Genetic Engineering 4
    • Genomics, phytochemicals, and oxidative stress 3
    • Kawasaki Disease and Coronary Complications 3

Xiaoling Guo

64 papers receiving 1.0k citations

Peers

Xiaoling Guo
Comparison fields: 5 of 104
  • Physiology 84
  • Cancer Research 100
  • Reproductive Medicine 51
  • Molecular Biology 387
  • Molecular Medicine 23
Replace Tae Gyu Choi with:
Tae Gyu Choi South Korea
Cesidio Giuliani Italy
Bálint L. Bálint Hungary
Wei‐Ning Lin Taiwan
Guang Lu China
Dan Qu China
Ping Xie United States
Rui Hua China
Germán Gallardo Spain
Xiaoling Guo relative to Tae Gyu Choi South Korea Tae Gyu Choi's profile →
Citations per field
00.5×3.8×
Tae Gyu Choi · 1×
Citations per year

Countries citing papers authored by Xiaoling Guo

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009124
2 202078
3 201963
4 202154
5 199849
6 202140
7 202140
8 201039
9 200439
10 201734
11 202029
12 201729
13 201126
14 201325
15 199623
16 201822
17 201722
18 202020
19 201919
20 201818

About Xiaoling Guo

Xiaoling Guo is a scholar working on Molecular Biology, Surgery, Immunology, Pediatrics, Perinatology and Child Health and Genetics, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (9 papers), Renal and related cancers (5 papers), CRISPR and Genetic Engineering (4 papers), Cancer Cells and Metastasis (3 papers), Heavy Metal Exposure and Toxicity (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Kawasaki Disease and Coronary Complications (3 papers) and 3D Printing in Biomedical Research (3 papers). The work is most often cited by research in Physiology (84 citations), Cancer Research (100 citations), Reproductive Medicine (51 citations), Molecular Biology (387 citations) and Molecular Medicine (23 citations). Xiaoling Guo has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Carl W. White, Jerome Schaack, Ren‐Shan Ge, Kumuda C. Das, Xianwu Chen, Maoping Chu, Xiaohong Gu, Chao Li, Louise Glover and James P. Bridges. Their work appears in journals such as Stem Cell Research, Journal of Cellular and Molecular Medicine, International Immunopharmacology, Frontiers in Pharmacology and Chemico-Biological Interactions.

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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