Fang Hua
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms 28
- Neurological Disease Mechanisms and Treatments 11
- Virology top 2%
- HIV Research and Treatment 13
- Immunology top 2%
- Immune Response and Inflammation 22
- Immune Cell Function and Interaction 9
- Developmental Neuroscience top 2%
- Anesthesia and Neurotoxicity Research 8
- Biological Psychiatry top 5%
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- NF-κB Signaling Pathways 10
- MicroRNA in disease regulation 10
- Co-authors
- Yves A. DeClerckDonald G. SteinIqbal SayeedFahim AtifDavid L. WilliamsTuanzhu HaJim KelleyRace L. Kao
- Cited by
- NeurologyVirologyImmunology
- Journals
- Journal of the American Chemical Society (1 paper)SHILAP Revista de lepidopterología (1 paper)The Journal of Immunology (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Fang Hua
185 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 154
- Neurology 886
- Virology 344
- Immunology 1.3k
- Developmental Neuroscience 236
- Biological Psychiatry 129
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
The 25 scholars most cited alongside Fang Hua, 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 | 10 | |
| 3 | 2024 | 12 | |
| 4 | 2024 | 9 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 22 | |
| 7 | 2020 | 27 | |
| 8 | 2020 | 16 | |
| 9 | 2019 | 12 | |
| 10 | 2018 | 1 | |
| 11 | 2018 | 5 | |
| 12 | 2018 | 7 | |
| 13 | 2018 | 10 | |
| 14 | Exosomes secreted by HUVECs attenuate hypoxia/reoxygenation-induced apoptosis in neural cells by suppressing miR-21-3p. | 2018 | 33 |
| 15 | 2017 | 4 | |
| 16 | 2017 | 4 | |
| 17 | 2014 | 1 | |
| 18 | Prevalence of obesity and nonalcoholic fatty liver disease at different period in senior high school students in Shanghai | 2010 | 1 |
| 19 | Nosocomial Infection in Cancer Patients during Chemotherapy: A Clinical Analysis | 2003 | 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 | 2003 | 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), HIV Research and Treatment (13 papers), Neurological Disease Mechanisms and Treatments (11 papers), NF-κB Signaling Pathways (10 papers), MicroRNA in disease regulation (10 papers), Immune Cell Function and Interaction (9 papers) and Anesthesia and Neurotoxicity Research (8 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.