Xiaoting Zhu
Impact in
-
- Glioma Diagnosis and Treatment
Papers in
-
- Epigenetics and DNA Methylation 4
- Cancer-related gene regulation 3
- Inflammasome and immune disorders 3
- Co-authors
- Long Lu (10 shared papers)W. Sean Davidson (5 shared papers)Hailong Li (5 shared papers)Amy S. Shah (4 shared papers)Scott M. Gordon (4 shared papers)Xiang Zhang (2 shared papers)Opeolu Adeoye (2 shared papers)Kyle Walsh (2 shared papers)
- Journals
- Journal of Proteome Research (2 papers)Neuroscience (2 papers)Acta Neuropathologica Communications (1 paper)JCI Insight (1 paper)ACS Pharmacology & Translational Science (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaoting Zhu
32 papers receiving 461 citations
Peers
Comparison fields: 5 of 102
- Genetics 46
- Cancer Research 65
- Neurology 59
- Endocrinology, Diabetes and Metabolism 58
- Molecular Biology 212
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 | 87 | |
| 2 | 2020 | 42 | |
| 3 | 2019 | 40 | |
| 4 | 2020 | 29 | |
| 5 | 2017 | 28 | |
| 6 | 2015 | 20 | |
| 7 | 2017 | 18 | |
| 8 | 2019 | 17 | |
| 9 | 2021 | 15 | |
| 10 | 2015 | 15 | |
| 11 | 2020 | 14 | |
| 12 | 2018 | 13 | |
| 13 | 2017 | 13 | |
| 14 | 2019 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2021 | 11 | |
| 17 | 2019 | 9 | |
| 18 | 2023 | 9 | |
| 19 | 2021 | 8 | |
| 20 | 2016 | 7 |
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 462 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Epigenetics and DNA Methylation (4 papers), Immune Response and Inflammation (3 papers), Cancer-related gene regulation (3 papers), Pacific and Southeast Asian Studies (3 papers), Inflammasome and immune disorders (3 papers) and Archaeology and ancient environmental studies (2 papers). The work is most often cited by research in Genetics (46 citations), Cancer Research (65 citations), Neurology (59 citations), Endocrinology, Diabetes and Metabolism (58 citations) and Molecular Biology (212 citations). Xiaoting Zhu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Long Lu, W. Sean Davidson, Hailong Li, Amy S. Shah, Scott M. Gordon, Xiang Zhang, Opeolu Adeoye, Kyle Walsh, Daniel Woo and Debi K. Swertfeger. Their work appears in journals such as Journal of Proteome Research, Neuroscience, Acta Neuropathologica Communications, JCI Insight and ACS Pharmacology & Translational Science.
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.