Xiaoling Guo
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 6
- CRISPR and Genetic Engineering 4
- Surgery 9
- Kawasaki Disease and Coronary Complications 3
- Pancreatic function and diabetes 3
- Co-authors
- Carl W. White (3 shared papers)Jerome Schaack (3 shared papers)Ren‐Shan Ge (7 shared papers)Kumuda C. Das (1 shared paper)Xianwu Chen (4 shared papers)Chao Li (7 shared papers)Xiaohong Gu (4 shared papers)Maoping Chu (7 shared papers)
- Journals
- Stem Cell Research (6 papers)International Immunopharmacology (3 papers)Frontiers in Pharmacology (3 papers)Journal of Cellular and Molecular Medicine (3 papers)Cytotherapy (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaoling Guo
64 papers receiving 999 citations
Peers
Comparison fields: 5 of 107
- Physiology 84
- Cancer Research 113
- Molecular Biology 425
- Reproductive Medicine 50
- Pharmacology 46
Countries citing papers authored by Xiaoling Guo
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
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.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 122 | |
| 2 | 2020 | 73 | |
| 3 | 2019 | 61 | |
| 4 | 2021 | 53 | |
| 5 | 1998 | 49 | |
| 6 | 2021 | 40 | |
| 7 | 2010 | 39 | |
| 8 | 2004 | 39 | |
| 9 | 2021 | 37 | |
| 10 | 2017 | 32 | |
| 11 | 2020 | 29 | |
| 12 | 2017 | 27 | |
| 13 | 2011 | 26 | |
| 14 | 2013 | 25 | |
| 15 | 1996 | 23 | |
| 16 | 2018 | 22 | |
| 17 | 2017 | 20 | |
| 18 | 2020 | 19 | |
| 19 | 2018 | 18 | |
| 20 | 2015 | 17 |
About Xiaoling Guo
Xiaoling Guo is a scholar working on Molecular Biology, Surgery, Immunology, Pediatrics, Perinatology and Child Health and Hematology, having authored 64 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (9 papers), Renal and related cancers (6 papers), CRISPR and Genetic Engineering (4 papers), Autophagy in Disease and Therapy (4 papers), Kawasaki Disease and Coronary Complications (3 papers), Pancreatic function and diabetes (3 papers), Curcumin's Biomedical Applications (3 papers) and Platelet Disorders and Treatments (3 papers). The work is most often cited by research in Physiology (84 citations), Cancer Research (113 citations), Molecular Biology (425 citations), Reproductive Medicine (50 citations) and Pharmacology (46 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, Chao Li, Xiaohong Gu, Maoping Chu, Shama Ahmad and Wilbur A. Franklin. Their work appears in journals such as Stem Cell Research, International Immunopharmacology, Frontiers in Pharmacology, Journal of Cellular and Molecular Medicine and Cytotherapy.
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.