Caixia Guo
Impact in
- Cancer Research top 5%
- Carcinogens and Genotoxicity Assessment
- Molecular Biology top 5%
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- Mitochondrial Function and Pathology
- Epigenetics and DNA Methylation
- DNA and Nucleic Acid Chemistry
Papers in
-
- DNA Repair Mechanisms 36
- CRISPR and Genetic Engineering 12
- Mitochondrial Function and Pathology 8
- DNA and Nucleic Acid Chemistry 6
- Ubiquitin and proteasome pathways 6
- Genomics and Chromatin Dynamics 5
- Co-authors
- Errol C. FriedbergTie-Shan TangShunichi TakedaEiichiro SonodaHelle D. UlrichJoanne L. ParkerAleksandra BielenFengli Wang
- Journals
- Nucleic Acids Research (6 papers)DNA repair (4 papers)Journal of Biological Chemistry (4 papers)Oncotarget (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Caixia Guo
69 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 107
- Cancer Research 579
- Molecular Biology 2.1k
- Cell Biology 233
- Cellular and Molecular Neuroscience 246
- Oncology 339
Countries citing papers authored by Caixia Guo
This map shows the geographic impact of Caixia 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 Caixia Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caixia Guo more than expected).
Fields of papers citing papers by Caixia Guo
This network shows the impact of papers produced by Caixia 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 Caixia Guo. The network helps show where Caixia Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Caixia 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 15 | |
| 7 | 2023 | 16 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 9 | |
| 11 | 2022 | 3 | |
| 12 | 2020 | 5 | |
| 13 | 2019 | 17 | |
| 14 | 2019 | 8 | |
| 15 | 2018 | 23 | |
| 16 | 2017 | 13 | |
| 17 | 2010 | 13 | |
| 18 | 2009 | 109 | |
| 19 | 2004 | 9 | |
| 20 | 2003 | 308 |
About Caixia Guo
Caixia Guo is a scholar working on Molecular Biology, Developmental Neuroscience, Cellular and Molecular Neuroscience, Aging and Cancer Research, having authored 73 papers that have together received 2.4k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (36 papers), CRISPR and Genetic Engineering (12 papers), Mitochondrial Function and Pathology (8 papers), Genetic Neurodegenerative Diseases (8 papers), DNA and Nucleic Acid Chemistry (6 papers), Ubiquitin and proteasome pathways (6 papers), Carcinogens and Genotoxicity Assessment (6 papers) and Genomics and Chromatin Dynamics (5 papers). The work is most often cited by research in Cancer Research (579 citations), Molecular Biology (2.1k citations), Cell Biology (233 citations), Cellular and Molecular Neuroscience (246 citations) and Oncology (339 citations). Caixia Guo has collaborated with scholars based in China, United States and India. Frequent co-authors include Errol C. Friedberg, Tie-Shan Tang, Tie-Shan Tang, Shunichi Takeda, Eiichiro Sonoda, Helle D. Ulrich, Joanne L. Parker, Aleksandra Bielen, Fengli Wang and Xiaolu Ma. Their work appears in journals such as Nucleic Acids Research, DNA repair, Journal of Biological Chemistry, Oncotarget and Scientific 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.