HUIXING PAN
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Extracellular vesicles in disease
- Epigenetics and DNA Methylation
Papers in
-
- Circular RNAs in diseases 6
- RNA modifications and cancer 2
- Extracellular vesicles in disease 1
-
- MicroRNA in disease regulation 9
- Cancer-related molecular mechanisms research 5
- Co-authors
- Deyao Wu (12 shared papers)Ping Qü (11 shared papers)Jian Zhou (10 shared papers)Yunfeng Zhou (9 shared papers)Xiaobing Niu (3 shared papers)Min Li (1 shared paper)Linmao Wang (1 shared paper)Wanxiang Wang (1 shared paper)
- Journals
- Cancer Gene Therapy (1 paper)Medicine (1 paper)Urology (1 paper)Aging (1 paper)Molecular Medicine Reports (6 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
HUIXING PAN
14 papers receiving 284 citations
Peers
Comparison fields: 5 of 44
- Cancer Research 177
- Molecular Biology 196
- Oncology 29
- Immunology 17
- Pulmonary and Respiratory Medicine 22
Countries citing papers authored by HUIXING PAN
This map shows the geographic impact of HUIXING PAN'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 HUIXING PAN with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites HUIXING PAN more than expected).
Fields of papers citing papers by HUIXING PAN
This network shows the impact of papers produced by HUIXING PAN. 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 HUIXING PAN. The network helps show where HUIXING PAN may publish in the future.
Co-authors
The 25 scholars most cited alongside HUIXING PAN, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 54 | |
| 2 | 2014 | 41 | |
| 3 | 2014 | 38 | |
| 4 | 2015 | 25 | |
| 5 | 2017 | 21 | |
| 6 | 2016 | 19 | |
| 7 | 2016 | 17 | |
| 8 | 2014 | 16 | |
| 9 | 2019 | 15 | |
| 10 | 2016 | 13 | |
| 11 | 2016 | 11 | |
| 12 | 2014 | 9 | |
| 13 | 2023 | 4 | |
| 14 | 2017 | 4 | |
| 15 | 2024 | 0 |
About HUIXING PAN
HUIXING PAN is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Pathology and Forensic Medicine, having authored 15 papers that have together received 287 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Circular RNAs in diseases (6 papers), Cancer-related molecular mechanisms research (5 papers), Cancer Mechanisms and Therapy (2 papers), Peptidase Inhibition and Analysis (2 papers), RNA modifications and cancer (2 papers), Bladder and Urothelial Cancer Treatments (2 papers) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Cancer Research (177 citations), Molecular Biology (196 citations), Oncology (29 citations), Immunology (17 citations) and Pulmonary and Respiratory Medicine (22 citations). HUIXING PAN has collaborated with scholars based in China and United States. Frequent co-authors include Deyao Wu, Ping Qü, Jian Zhou, Yunfeng Zhou, Xiaobing Niu, Min Li, Linmao Wang, Wanxiang Wang, Zichun Zhang and Tielong Zhang. Their work appears in journals such as Cancer Gene Therapy, Medicine, Urology, Aging and Molecular Medicine 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.