Ping Hua
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in ⓘ
- Neurology 13
- Parkinson's Disease Mechanisms and Treatments 10
- Co-authors
- John G. Webster (13 shared papers)W.J. Tompkins (11 shared papers)Eung Je Woo (10 shared papers)Songran Yang (27 shared papers)Edgar A. Jaimes (8 shared papers)Gordon J. Freeman (6 shared papers)Wenguang Feng (7 shared papers)Baogong Zhu (4 shared papers)
- Journals
- BioMed Research International (4 papers)American Journal of Physiology-Renal Physiology (4 papers)IEEE Transactions on Medical Imaging (4 papers)Cancer Immunology Research (3 papers)Hypertension (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ping Hua
100 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 141
- Oncology 524
- Immunology 383
- Neurology 204
- Cardiology and Cardiovascular Medicine 278
- Geophysics 149
Countries citing papers authored by Ping Hua
This map shows the geographic impact of Ping 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 Ping Hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Hua more than expected).
Fields of papers citing papers by Ping Hua
This network shows the impact of papers produced by Ping 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 Ping Hua. The network helps show where Ping Hua may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping 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
Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 256 | |
| 2 | 2018 | 112 | |
| 3 | 2015 | 103 | |
| 4 | 1991 | 86 | |
| 5 | 1993 | 81 | |
| 6 | 2020 | 80 | |
| 7 | 1993 | 77 | |
| 8 | 2019 | 76 | |
| 9 | 2010 | 68 | |
| 10 | 2009 | 60 | |
| 11 | 2013 | 56 | |
| 12 | 2012 | 54 | |
| 13 | 1992 | 53 | |
| 14 | 2021 | 51 | |
| 15 | 1988 | 50 | |
| 16 | 1993 | 44 | |
| 17 | 1999 | 44 | |
| 18 | 2017 | 41 | |
| 19 | 2002 | 38 | |
| 20 | 1994 | 33 |
About Ping Hua
Ping Hua is a scholar working on Neurology, Cardiology and Cardiovascular Medicine, Geophysics, Immunology and Nephrology, having authored 104 papers that have together received 2.5k indexed citations. Recurring topics across this work include Electrical and Bioimpedance Tomography (13 papers), Parkinson's Disease Mechanisms and Treatments (10 papers), Flow Measurement and Analysis (9 papers), Geophysical and Geoelectrical Methods (8 papers), Cancer Immunotherapy and Biomarkers (5 papers), Immunotherapy and Immune Responses (5 papers), Mesenchymal stem cell research (4 papers) and Estrogen and related hormone effects (4 papers). The work is most often cited by research in Oncology (524 citations), Immunology (383 citations), Neurology (204 citations), Cardiology and Cardiovascular Medicine (278 citations) and Geophysics (149 citations). Ping Hua has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include John G. Webster, W.J. Tompkins, Eung Je Woo, Songran Yang, Edgar A. Jaimes, Gordon J. Freeman, Wenguang Feng, Baogong Zhu, Arlene H. Sharpe and Xia Bu. Their work appears in journals such as BioMed Research International, American Journal of Physiology-Renal Physiology, IEEE Transactions on Medical Imaging, Cancer Immunology Research and Hypertension.
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.