Huadan Ye
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Cancer-related gene regulation
Papers in
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- Epigenetics and DNA Methylation 11
- RNA modifications and cancer 4
- Cancer-related gene regulation 3
- Peroxisome Proliferator-Activated Receptors 2
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- Acute Myeloid Leukemia Research 4
- Blood Coagulation and Thrombosis Mechanisms 2
- Co-authors
- Shiwei Duan (33 shared papers)Qingxiao Hong (15 shared papers)Xiaoying Chen (13 shared papers)Yi Huang (10 shared papers)Xuting Xu (12 shared papers)Leiting Xu (11 shared papers)Meng Ye (9 shared papers)Qi Liao (5 shared papers)
- Journals
- Diagnostic Pathology (4 papers)Gene (3 papers)PLoS ONE (3 papers)Biomedicine & Pharmacotherapy (3 papers)BioMed Research International (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Huadan Ye
34 papers receiving 551 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 80
- Molecular Biology 258
- Genetics 69
- Rheumatology 31
- Endocrinology, Diabetes and Metabolism 33
Countries citing papers authored by Huadan Ye
This map shows the geographic impact of Huadan Ye'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 Huadan Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huadan Ye more than expected).
Fields of papers citing papers by Huadan Ye
This network shows the impact of papers produced by Huadan Ye. 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 Huadan Ye. The network helps show where Huadan Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Huadan Ye, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 65 | |
| 2 | 2013 | 49 | |
| 3 | 2014 | 37 | |
| 4 | 2013 | 30 | |
| 5 | 2014 | 29 | |
| 6 | 2014 | 22 | |
| 7 | 2016 | 22 | |
| 8 | 2016 | 21 | |
| 9 | 2015 | 21 | |
| 10 | 2014 | 19 | |
| 11 | 2016 | 18 | |
| 12 | 2014 | 17 | |
| 13 | 2013 | 17 | |
| 14 | 2014 | 16 | |
| 15 | 2013 | 15 | |
| 16 | 2013 | 14 | |
| 17 | 2016 | 14 | |
| 18 | 2013 | 14 | |
| 19 | 2014 | 13 | |
| 20 | 2014 | 13 |
About Huadan Ye
Huadan Ye is a scholar working on Molecular Biology, Hematology, Oncology, Rheumatology and Endocrinology, Diabetes and Metabolism, having authored 34 papers that have together received 558 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (11 papers), Acute Myeloid Leukemia Research (4 papers), RNA modifications and cancer (4 papers), Cancer-related gene regulation (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Cancer Research (80 citations), Molecular Biology (258 citations), Genetics (69 citations), Rheumatology (31 citations) and Endocrinology, Diabetes and Metabolism (33 citations). Huadan Ye has collaborated with scholars based in China and United States. Frequent co-authors include Shiwei Duan, Qingxiao Hong, Xiaoying Chen, Yi Huang, Xuting Xu, Leiting Xu, Meng Ye, Qi Liao, Yanfei Xin and Linlin Tang. Their work appears in journals such as Diagnostic Pathology, Gene, PLoS ONE, Biomedicine & Pharmacotherapy and BioMed Research International.
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.