Hua Jiang
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Immunology top 5%
- T-cell and Retrovirus Studies
- Immune Cell Function and Interaction
Papers in
-
- Circular RNAs in diseases 9
- RNA modifications and cancer 6
- RNA Research and Splicing 5
-
- Cancer-related molecular mechanisms research 16
- MicroRNA in disease regulation 7
- Co-authors
- John Brady (5 shared papers)Cynthia A. Pise-Masison (4 shared papers)Hongli Shan (5 shared papers)Haihai Liang (5 shared papers)Michael F. Radonovich (3 shared papers)Xiaoguang Zhao (4 shared papers)Renaud Mahieux (3 shared papers)Huitong Shan (4 shared papers)
- Journals
- Scientific Reports (2 papers)Applied Microbiology and Biotechnology (2 papers)The Cleft Palate-Craniofacial Journal (2 papers)Cell Death and Disease (2 papers)Molecular Cancer (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hua Jiang
56 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 107
- Cancer Research 711
- Immunology 541
- Agronomy and Crop Science 193
- Molecular Biology 972
- Oncology 335
Countries citing papers authored by Hua Jiang
This map shows the geographic impact of Hua Jiang'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 Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Jiang more than expected).
Fields of papers citing papers by Hua Jiang
This network shows the impact of papers produced by Hua Jiang. 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 Jiang. The network helps show where Hua Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hua Jiang, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 270 | |
| 2 | 2013 | 217 | |
| 3 | 1999 | 123 | |
| 4 | 2000 | 119 | |
| 5 | 2017 | 99 | |
| 6 | 2014 | 59 | |
| 7 | 2015 | 53 | |
| 8 | 2001 | 46 | |
| 9 | 2018 | 42 | |
| 10 | 2000 | 38 | |
| 11 | 2020 | 38 | |
| 12 | 2014 | 38 | |
| 13 | 2018 | 34 | |
| 14 | 2018 | 32 | |
| 15 | 2014 | 29 | |
| 16 | 2019 | 28 | |
| 17 | 2008 | 27 | |
| 18 | 2014 | 26 | |
| 19 | 2022 | 25 | |
| 20 | 2010 | 24 |
About Hua Jiang
Hua Jiang is a scholar working on Molecular Biology, Cancer Research, Genetics, Immunology and Oncology, having authored 61 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (16 papers), Circular RNAs in diseases (9 papers), MicroRNA in disease regulation (7 papers), RNA modifications and cancer (6 papers), Genomic variations and chromosomal abnormalities (6 papers), RNA Research and Splicing (5 papers), T-cell and Retrovirus Studies (5 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Cancer Research (711 citations), Immunology (541 citations), Agronomy and Crop Science (193 citations), Molecular Biology (972 citations) and Oncology (335 citations). Hua Jiang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include John Brady, Cynthia A. Pise-Masison, Hongli Shan, Haihai Liang, Michael F. Radonovich, Xiaoguang Zhao, Renaud Mahieux, Huitong Shan, Lida Yang and Jian Hou. Their work appears in journals such as Scientific Reports, Applied Microbiology and Biotechnology, The Cleft Palate-Craniofacial Journal, Cell Death and Disease and Molecular Cancer.
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.