Xiaojing Guo
Impact in
- Cancer Research top 2%
- Breast Cancer Treatment Studies
- Toxicology top 1%
- Pharmacovigilance and Adverse Drug Reactions
Papers in
-
- DNA Repair Mechanisms 8
- Oncology 49
- Cancer Immunotherapy and Biomarkers 16
- Cancer Cells and Metastasis 13
- Co-authors
- Li Fu (17 shared papers)Jia He (31 shared papers)Ronggang Lang (15 shared papers)Xiaofei Ye (30 shared papers)Feng Gu (17 shared papers)Xinmin Zhang (11 shared papers)Jinfang Xu (21 shared papers)Bo Xu (7 shared papers)
- Journals
- PLoS ONE (7 papers)Expert Opinion on Drug Safety (4 papers)Breast Cancer Research and Treatment (4 papers)International Wound Journal (3 papers)British Journal of Clinical Pharmacology (3 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Xiaojing Guo
144 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 152
- Cancer Research 759
- Toxicology 161
- Oncology 905
- Pathology and Forensic Medicine 432
- Dermatology 158
Countries citing papers authored by Xiaojing Guo
This map shows the geographic impact of Xiaojing 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 Xiaojing Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojing Guo more than expected).
Fields of papers citing papers by Xiaojing Guo
This network shows the impact of papers produced by Xiaojing 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 Xiaojing Guo. The network helps show where Xiaojing Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojing 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 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 128 | |
| 2 | 2020 | 122 | |
| 3 | 2013 | 96 | |
| 4 | 2012 | 94 | |
| 5 | 2011 | 93 | |
| 6 | 2022 | 85 | |
| 7 | 2018 | 79 | |
| 8 | 2006 | 69 | |
| 9 | 2004 | 67 | |
| 10 | 2006 | 67 | |
| 11 | 2016 | 63 | |
| 12 | 2013 | 60 | |
| 13 | 2015 | 59 | |
| 14 | 2013 | 55 | |
| 15 | 2014 | 55 | |
| 16 | Elevated Aurora B expression contributes to chemoresistance and poor prognosis in breast cancer. | 2015 | 55 |
| 17 | 2017 | 53 | |
| 18 | 2011 | 52 | |
| 19 | 2012 | 51 | |
| 20 | 2013 | 50 |
About Xiaojing Guo
Xiaojing Guo is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Pathology and Forensic Medicine, having authored 151 papers that have together received 3.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (18 papers), Pharmacovigilance and Adverse Drug Reactions (17 papers), Cancer Immunotherapy and Biomarkers (16 papers), Breast Lesions and Carcinomas (14 papers), Cancer Cells and Metastasis (13 papers), DNA Repair Mechanisms (8 papers), Drug-Induced Adverse Reactions (7 papers) and Liver Disease Diagnosis and Treatment (7 papers). The work is most often cited by research in Cancer Research (759 citations), Toxicology (161 citations), Oncology (905 citations), Pathology and Forensic Medicine (432 citations) and Dermatology (158 citations). Xiaojing Guo has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Li Fu, Jia He, Ronggang Lang, Xiaofei Ye, Feng Gu, Xinmin Zhang, Jinfang Xu, Bo Xu, Li Fu and Yinghong Zhai. Their work appears in journals such as PLoS ONE, Expert Opinion on Drug Safety, Breast Cancer Research and Treatment, International Wound Journal and British Journal of Clinical Pharmacology.
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.