Xiaoting Gu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Sensory Systems top 10%
- Ion Channels and Receptors
Papers in
-
- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 2
-
- Bioinformatics and Genomic Networks 3
- Circular RNAs in diseases 2
- Epigenetics and DNA Methylation 2
- Gene expression and cancer classification 2
- Co-authors
- Dongxu He (9 shared papers)Xin Ma (8 shared papers)Jiang Li (2 shared papers)Jian Jin (5 shared papers)Jian Jin (2 shared papers)Youran Li (1 shared paper)Dequan Liu (4 shared papers)Isabelle Fajardy (1 shared paper)
- Journals
- Journal of Pharmaceutical and Biomedical Analysis (2 papers)Frontiers in Oncology (2 papers)Diabetologia (1 paper)Molecular Pharmacology (1 paper)Oncology Reports (1 paper)
- Partner nations
- ChinaUnited KingdomFrance
In The Last Decade
Xiaoting Gu
25 papers receiving 461 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 171
- Sensory Systems 46
- Toxicology 18
- Molecular Biology 307
- Genetics 54
Countries citing papers authored by Xiaoting Gu
This map shows the geographic impact of Xiaoting Gu'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 Xiaoting Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoting Gu more than expected).
Fields of papers citing papers by Xiaoting Gu
This network shows the impact of papers produced by Xiaoting Gu. 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 Xiaoting Gu. The network helps show where Xiaoting Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoting Gu, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 169 | |
| 2 | 2014 | 66 | |
| 3 | 2014 | 54 | |
| 4 | 1992 | 29 | |
| 5 | 2015 | 27 | |
| 6 | [Studies on chemical constituents from Euphorbia fischeriana Steud]. | 2001 | 13 |
| 7 | 2007 | 13 | |
| 8 | 1991 | 13 | |
| 9 | 2016 | 11 | |
| 10 | 2016 | 10 | |
| 11 | 2022 | 8 | |
| 12 | 2024 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 6 | |
| 15 | 2014 | 6 | |
| 16 | 2017 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2016 | 4 | |
| 19 | 2014 | 4 | |
| 20 | 2025 | 4 |
About Xiaoting Gu
Xiaoting Gu is a scholar working on Cancer Research, Molecular Biology, Rehabilitation, Genetics and Dermatology, having authored 28 papers that have together received 466 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), MicroRNA in disease regulation (3 papers), Diabetes and associated disorders (2 papers), Dermatologic Treatments and Research (2 papers), Circular RNAs in diseases (2 papers), Cancer-related molecular mechanisms research (2 papers), Epigenetics and DNA Methylation (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Cancer Research (171 citations), Sensory Systems (46 citations), Toxicology (18 citations), Molecular Biology (307 citations) and Genetics (54 citations). Xiaoting Gu has collaborated with scholars based in China, United Kingdom and France. Frequent co-authors include Dongxu He, Xin Ma, Jiang Li, Jian Jin, Jian Jin, Youran Li, Dequan Liu, Isabelle Fajardy, Frédéric Dubois and Jean Tichet. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Frontiers in Oncology, Diabetologia, Molecular Pharmacology and Oncology 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.