Hua Pan
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 2%
- RNA Interference and Gene Delivery
- Epigenetics and DNA Methylation
- Extracellular vesicles in disease
- Pluripotent Stem Cells Research
- Advanced biosensing and bioanalysis techniques
Papers in
-
- Cancer-related molecular mechanisms research 11
- MicroRNA in disease regulation 10
- Co-authors
- Samuel A. WicklineRichard M. SchultzGregory M. LanzaPaul H. SchlesingerPengpeng MaKirk K. HouJoshua L. HoodWenting Zhu
- Journals
- The FASEB Journal (8 papers)Scientific Reports (5 papers)Developmental Biology (5 papers)Proceedings of the National Academy of Sciences (4 papers)Clinical Neurophysiology (3 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Hua Pan
150 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 144
- Cancer Research 670
- Molecular Biology 2.7k
- Reproductive Medicine 317
- Public Health, Environmental and Occupational Health 791
- Immunology 546
Countries citing papers authored by Hua Pan
This map shows the geographic impact of Hua 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 Hua Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Pan more than expected).
Fields of papers citing papers by Hua Pan
This network shows the impact of papers produced by Hua 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 Hua Pan. The network helps show where Hua Pan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hua 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 10 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 0 | |
| 8 | 2022 | 16 | |
| 9 | 2021 | 18 | |
| 10 | 2021 | 53 | |
| 11 | 2021 | 11 | |
| 12 | 2021 | 19 | |
| 13 | 2020 | 13 | |
| 14 | 2019 | 5 | |
| 15 | 2018 | 3 | |
| 16 | 2018 | 18 | |
| 17 | 2016 | 117 | |
| 18 | 2016 | 3 | |
| 19 | 2012 | 32 | |
| 20 | 2009 | 96 |
About Hua Pan
Hua Pan is a scholar working on Transplantation, Cancer Research, Neurology, Molecular Biology and Immunology, having authored 160 papers that have together received 4.7k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (22 papers), Cancer-related molecular mechanisms research (11 papers), Genetic Neurodegenerative Diseases (10 papers), MicroRNA in disease regulation (10 papers), Advanced biosensing and bioanalysis techniques (9 papers), RNA modifications and cancer (7 papers), Hereditary Neurological Disorders (7 papers) and Epigenetics and DNA Methylation (7 papers). The work is most often cited by research in Cancer Research (670 citations), Molecular Biology (2.7k citations), Reproductive Medicine (317 citations), Public Health, Environmental and Occupational Health (791 citations) and Immunology (546 citations). Hua Pan has collaborated with scholars based in United States, China and France. Frequent co-authors include Samuel A. Wickline, Richard M. Schultz, Gregory M. Lanza, Paul H. Schlesinger, Pengpeng Ma, Kirk K. Hou, Joshua L. Hood, Wenting Zhu, Christine T. N. Pham and Scott J. Bultman. Their work appears in journals such as The FASEB Journal, Scientific Reports, Developmental Biology, Proceedings of the National Academy of Sciences and Clinical Neurophysiology.
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.