Xiaojing Guo

4.7k citations
150 papers · 3.3k · h-index 35

Impact in

Papers in

    • DNA Repair Mechanisms 8
    • Gut microbiota and health 5
    • Cancer Immunotherapy and Biomarkers 14
    • Cancer Cells and Metastasis 9
    • Cancer-related Molecular Pathways 6

Xiaojing Guo

143 papers receiving 3.3k citations

Peers

Xiaojing Guo
Comparison fields: 5 of 148
  • Cancer Research 568
  • Toxicology 120
  • Oncology 752
  • Pathology and Forensic Medicine 379
  • Molecular Biology 1.0k
Replace Da‐Tian Bau with:
Da‐Tian Bau Taiwan
Adam Barsouk United States
Harriet Rumgay France
Eileen Morgan United Kingdom
Dipali Sharma United States
Ming Zhao United States
Jang‐Yang Chang Taiwan
Tinghong Ye China
Kazuaki Tanabe Japan
Howard H. Bailey United States
Xiaojing Guo relative to Da‐Tian Bau Taiwan Da‐Tian Bau's profile →
Citations per field
00.5×5.3×
Da‐Tian Bau · 1×
Citations per year

Countries citing papers authored by Xiaojing Guo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Xiaojing Guo Line = papers co-authored together Xiaojing Guo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019138
2 2020126
3 201396
4 201294
5 201193
6 202292
7 201879
8 200670
9 200469
10 200669
11 201664
12 201361
13 201560
14 201355
15 201455
16
Elevated Aurora B expression contributes to chemoresistance and poor prognosis in breast cancer.
201555
17 201754
18 201254
19 201153
20 200951

About Xiaojing Guo

Xiaojing Guo is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Immunology, having authored 150 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (14 papers), Breast Cancer Treatment Studies (13 papers), Breast Lesions and Carcinomas (12 papers), Cancer Cells and Metastasis (9 papers), Pharmacovigilance and Adverse Drug Reactions (9 papers), DNA Repair Mechanisms (8 papers), Cancer-related Molecular Pathways (6 papers) and Gut microbiota and health (5 papers). The work is most often cited by research in Cancer Research (568 citations), Toxicology (120 citations), Oncology (752 citations), Pathology and Forensic Medicine (379 citations) and Molecular Biology (1.0k citations). Xiaojing Guo has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Jia He, Li Fu, Xiaofei Ye, Ronggang Lang, Feng Gu, Xinmin Zhang, Jinfang Xu, Bo Xu, Yinghong Zhai and Fangyuan Hu. Their work appears in journals such as PLoS ONE, Expert Opinion on Drug Safety, Breast Cancer Research and Treatment, British Journal of Clinical Pharmacology and International Wound Journal.

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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