Xiaoting Hong
Impact in
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- MicroRNA in disease regulation
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- Connexins and lens biology
- Histone Deacetylase Inhibitors Research
- Heat shock proteins research
- Nicotinic Acetylcholine Receptors Study
- Protein Degradation and Inhibitors
Papers in
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- Connexins and lens biology 10
- Heat shock proteins research 6
- Metabolism, Diabetes, and Cancer 2
- Signaling Pathways in Disease 2
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- Berberine and alkaloids research 4
- Co-authors
- Andrew L. Harris (4 shared papers)Wun Chey Sin (2 shared papers)Christian C. Naus (2 shared papers)Liang Tao (6 shared papers)Qin Wang (5 shared papers)Tianhui Hu (15 shared papers)Xuhui Tong (3 shared papers)Yan-yan Zhan (12 shared papers)
- Journals
- Cancers (3 papers)Cancer Letters (2 papers)Clinical Cancer Research (1 paper)Scientific Reports (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiaoting Hong
26 papers receiving 978 citations
Peers
Comparison fields: 5 of 88
- Cancer Research 150
- Molecular Biology 672
- Pathology and Forensic Medicine 163
- Oncology 207
- Genetics 75
Countries citing papers authored by Xiaoting Hong
This map shows the geographic impact of Xiaoting Hong'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 Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoting Hong more than expected).
Fields of papers citing papers by Xiaoting Hong
This network shows the impact of papers produced by Xiaoting Hong. 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 Hong. The network helps show where Xiaoting Hong may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoting Hong, 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 | 2015 | 263 | |
| 2 | 2015 | 123 | |
| 3 | 2013 | 95 | |
| 4 | 2009 | 54 | |
| 5 | 2011 | 51 | |
| 6 | 2020 | 46 | |
| 7 | 2015 | 46 | |
| 8 | 2018 | 45 | |
| 9 | 2010 | 44 | |
| 10 | 2019 | 43 | |
| 11 | 2017 | 32 | |
| 12 | 2020 | 28 | |
| 13 | 2022 | 17 | |
| 14 | 2019 | 14 | |
| 15 | 2011 | 12 | |
| 16 | 2023 | 11 | |
| 17 | 2021 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2017 | 10 | |
| 20 | 2021 | 9 |
About Xiaoting Hong
Xiaoting Hong is a scholar working on Molecular Biology, Pharmacology, Cancer Research, Oncology and Immunology, having authored 28 papers that have together received 988 indexed citations. Recurring topics across this work include Connexins and lens biology (10 papers), Heat shock proteins research (6 papers), Berberine and alkaloids research (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), MicroRNA in disease regulation (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Signaling Pathways in Disease (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (150 citations), Molecular Biology (672 citations), Pathology and Forensic Medicine (163 citations), Oncology (207 citations) and Genetics (75 citations). Xiaoting Hong has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Andrew L. Harris, Wun Chey Sin, Christian C. Naus, Liang Tao, Qin Wang, Tianhui Hu, Xuhui Tong, Yan-yan Zhan, Yue Shi and Yun Fan. Their work appears in journals such as Cancers, Cancer Letters, Clinical Cancer Research, Scientific Reports and Journal of Pharmacology and Experimental Therapeutics.
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.