Picheng Zhao
- Molecular Medicine top 5%
- Immunology top 10%
- T-cell and B-cell Immunology 3
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
- Immune Cell Function and Interaction 2
- Psoriasis: Treatment and Pathogenesis 2
- Biomaterials top 10%
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research 2
- COVID-19 Clinical Research Studies 2
- Obstetrics and Gynecology top 10%
-
- Extracellular vesicles in disease 2
- Inflammasome and immune disorders 2
- Co-authors
- Jonathan O. MartinezRoberto MolinaroEnnio TasciottiFrancesca TaraballiClaudia CorboMichael B. ShermanIman K. YazdiXiaojing Wang
- Journals
- The Journal of Immunology (2 papers)American Journal Of Pathology (2 papers)American Journal of Respiratory Cell and Molecular Biology (2 papers)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Picheng Zhao
15 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Medicine 87
- Immunology 305
- Biomaterials 173
- Infectious Diseases 238
- Obstetrics and Gynecology 78
Countries citing papers authored by Picheng Zhao
This map shows the geographic impact of Picheng Zhao'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 Picheng Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Picheng Zhao more than expected).
Fields of papers citing papers by Picheng Zhao
This network shows the impact of papers produced by Picheng Zhao. 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 Picheng Zhao. The network helps show where Picheng Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Picheng Zhao, 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 | 2020 | 92 | |
| 2 | 2020 | 128 | |
| 3 | 2019 | 134 | |
| 4 | 2019 | 56 | |
| 5 | 2018 | 5 | |
| 6 | 2017 | 98 | |
| 7 | Biomimetic proteolipid vesicles for targeting inflamed tissuesbreakdown → | 2016 | 365 |
| 8 | 2016 | 5 | |
| 9 | 2015 | 3 | |
| 10 | 2014 | 26 | |
| 11 | 2014 | 1 | |
| 12 | 2013 | 65 | |
| 13 | 2013 | 28 | |
| 14 | 2012 | 5 | |
| 15 | 2012 | 84 |
About Picheng Zhao
Picheng Zhao is a scholar working on Immunology, Physiology and Molecular Medicine, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Extracellular vesicles in disease (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), COVID-19 Clinical Research Studies (2 papers), Immune Cell Function and Interaction (2 papers), Inflammasome and immune disorders (2 papers) and Psoriasis: Treatment and Pathogenesis (2 papers). The work is most often cited by research in Molecular Medicine (87 citations), Immunology (305 citations) and Biomaterials (173 citations). Picheng Zhao has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Jonathan O. Martinez, Roberto Molinaro, Ennio Tasciotti, Francesca Taraballi, Claudia Corbo, Michael B. Sherman, Iman K. Yazdi, Xiaojing Wang, Silvia Minardi and Alessandro Parodi. Their work appears in journals such as The Journal of Immunology, American Journal Of Pathology, American Journal of Respiratory Cell and Molecular Biology, Journal of Leukocyte Biology and mBio.
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.