Fang Hua
- Molecular Biology top 5%
- Immunology top 2%
- Neurology top 0.5%
- Cancer Research top 2%
- Pathology and Forensic Medicine top 2%
- Co-authors
- Yves A. DeClerckDonald G. SteinIqbal SayeedFahim AtifDavid L. WilliamsTuanzhu HaJim KelleyRace L. Kao
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (28 papers)Immune Response and Inflammation (22 papers)HIV Research and Treatment (13 papers)
- Cited by
- NeurologyVirologyImmunology
- Journals
- Journal of the American Chemical SocietySHILAP Revista de lepidopterologíaThe Journal of Immunology
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Fang Hua
185 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 154
- Molecular Biology 1.5k
- Immunology 1.3k
- Neurology 886
- Cancer Research 697
- Pathology and Forensic Medicine 586
Countries citing papers authored by Fang Hua
This map shows the geographic impact of Fang Hua'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 Fang Hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Hua more than expected).
Fields of papers citing papers by Fang Hua
This network shows the impact of papers produced by Fang Hua. 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 Fang Hua. The network helps show where Fang Hua may publish in the future.
Co-authorship network of co-authors of Fang Hua
This figure shows the co-authorship network connecting the top 25 collaborators of Fang Hua. A scholar is included among the top collaborators of Fang Hua based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fang Hua. Fang Hua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 12 | |
| 4 | 9 | |
| 5 | 6 | |
| 6 | 22 | |
| 7 | 27 | |
| 8 | 16 | |
| 9 | 12 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 7 | |
| 13 | 10 | |
| 14 | Exosomes secreted by HUVECs attenuate hypoxia/reoxygenation-induced apoptosis in neural cells by suppressing miR-21-3p. | 33 |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | Prevalence of obesity and nonalcoholic fatty liver disease at different period in senior high school students in Shanghai | 1 |
| 19 | Nosocomial Infection in Cancer Patients during Chemotherapy: A Clinical Analysis | 1 |
| 20 | The effects of CGRP on the activities of superoxide dismutase and nitric oxide synthase and the content of malondialdehyde in the rat model of whole cerebral ischemia/reperfusion | 1 |
About Fang Hua
Fang Hua is a scholar working on Neurology, Virology and Developmental Neuroscience, having authored 193 papers that have together received 5.1k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (28 papers), Immune Response and Inflammation (22 papers) and HIV Research and Treatment (13 papers). The work is most often cited by research in Neurology (886 citations), Virology (344 citations) and Immunology (1.3k citations). Fang Hua has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yves A. DeClerck, Donald G. Stein, Iqbal Sayeed, Fahim Atif, David L. Williams, Tuanzhu Ha, Jim Kelley, Race L. Kao, Tauheed Ishrat and Chuanfu Li. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and The Journal of Immunology.
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.