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
-
- Electrical and Bioimpedance Tomography 13
- 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)IEEE Transactions on Medical Imaging (4 papers)American Journal of Physiology-Renal Physiology (4 papers)Frontiers in Neurology (3 papers)Cancer Immunology Research (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ping Hua
100 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 138
- Oncology 463
- Immunology 340
- Neurology 172
- Cardiology and Cardiovascular Medicine 236
- Endocrine and Autonomic Systems 71
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 | 263 | |
| 2 | 2018 | 114 | |
| 3 | 2015 | 105 | |
| 4 | 1991 | 89 | |
| 5 | 2020 | 87 | |
| 6 | 1993 | 84 | |
| 7 | 1993 | 83 | |
| 8 | 2019 | 76 | |
| 9 | 2010 | 70 | |
| 10 | 2013 | 64 | |
| 11 | 2009 | 61 | |
| 12 | 2012 | 56 | |
| 13 | 2021 | 55 | |
| 14 | 1992 | 54 | |
| 15 | 1988 | 54 | |
| 16 | 1993 | 46 | |
| 17 | 2017 | 44 | |
| 18 | 1999 | 43 | |
| 19 | 2002 | 39 | |
| 20 | 2020 | 35 |
About Ping Hua
Ping Hua is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Neurology, Cardiology and Cardiovascular Medicine and Oncology, having authored 104 papers that have together received 2.6k indexed citations. Recurring topics across this work include Electrical and Bioimpedance Tomography (13 papers), Flow Measurement and Analysis (9 papers), Geophysical and Geoelectrical Methods (8 papers), Parkinson's Disease Mechanisms and Treatments (7 papers), Immunotherapy and Immune Responses (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Hemodynamic Monitoring and Therapy (3 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). The work is most often cited by research in Oncology (463 citations), Immunology (340 citations), Neurology (172 citations), Cardiology and Cardiovascular Medicine (236 citations) and Endocrine and Autonomic Systems (71 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, IEEE Transactions on Medical Imaging, American Journal of Physiology-Renal Physiology, Frontiers in Neurology and Cancer Immunology Research.
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.