Xiaoting Zhu
Impact in
-
- Glioma Diagnosis and Treatment
Papers in
-
- Epigenetics and DNA Methylation 4
- Cancer-related gene regulation 3
- Kruppel-like factors research 2
- Co-authors
- Long Lu (10 shared papers)Hailong Li (5 shared papers)W. Sean Davidson (5 shared papers)Amy S. Shah (4 shared papers)Scott M. Gordon (4 shared papers)Daniel Woo (2 shared papers)Kyle Walsh (2 shared papers)Opeolu Adeoye (2 shared papers)
- Journals
- Journal of Proteome Research (2 papers)Neuroscience (2 papers)Oncotarget (1 paper)Theriogenology (1 paper)JCI Insight (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaoting Zhu
34 papers receiving 496 citations
Peers
Comparison fields: 5 of 93
- Genetics 44
- Cancer Research 58
- Neurology 52
- Endocrinology, Diabetes and Metabolism 50
- Molecular Biology 195
Countries citing papers authored by Xiaoting Zhu
This map shows the geographic impact of Xiaoting Zhu'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 Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoting Zhu more than expected).
Fields of papers citing papers by Xiaoting Zhu
This network shows the impact of papers produced by Xiaoting Zhu. 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 Zhu. The network helps show where Xiaoting Zhu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoting Zhu, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 94 | |
| 2 | 2020 | 43 | |
| 3 | 2019 | 41 | |
| 4 | 2020 | 31 | |
| 5 | 2017 | 29 | |
| 6 | 2015 | 22 | |
| 7 | 2017 | 18 | |
| 8 | 2019 | 17 | |
| 9 | 2015 | 16 | |
| 10 | 2021 | 16 | |
| 11 | 2020 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2018 | 13 | |
| 14 | 2017 | 13 | |
| 15 | 2019 | 12 | |
| 16 | 2021 | 11 | |
| 17 | 2023 | 10 | |
| 18 | 2019 | 10 | |
| 19 | 2016 | 8 | |
| 20 | 2024 | 8 |
About Xiaoting Zhu
Xiaoting Zhu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Endocrinology, Diabetes and Metabolism and Genetics, having authored 37 papers that have together received 497 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Epigenetics and DNA Methylation (4 papers), Pacific and Southeast Asian Studies (3 papers), Cancer-related gene regulation (3 papers), Glioma Diagnosis and Treatment (3 papers), Kruppel-like factors research (2 papers), interferon and immune responses (2 papers) and Intracerebral and Subarachnoid Hemorrhage Research (2 papers). The work is most often cited by research in Genetics (44 citations), Cancer Research (58 citations), Neurology (52 citations), Endocrinology, Diabetes and Metabolism (50 citations) and Molecular Biology (195 citations). Xiaoting Zhu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Long Lu, Hailong Li, W. Sean Davidson, Amy S. Shah, Scott M. Gordon, Daniel Woo, Kyle Walsh, Opeolu Adeoye, Xiang Zhang and Debi K. Swertfeger. Their work appears in journals such as Journal of Proteome Research, Neuroscience, Oncotarget, Theriogenology and JCI Insight.
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.