Pingping Wang
Impact in
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- Carbon dioxide utilization in catalysis
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
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- SARS-CoV-2 and COVID-19 Research 11
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- Single-cell and spatial transcriptomics 8
- Machine Learning in Bioinformatics 4
- Co-authors
- Qinghua Jiang (36 shared papers)Wenyang Zhou (29 shared papers)Meng Luo (23 shared papers)Shuang Yue (3 shared papers)Zhaochun Xu (24 shared papers)Xiyun Jin (23 shared papers)Chang Xu (17 shared papers)Mingzhong Cai (18 shared papers)
- Journals
- Briefings in Bioinformatics (7 papers)Journal of Organometallic Chemistry (5 papers)Frontiers in Cell and Developmental Biology (4 papers)Molecular Therapy — Nucleic Acids (3 papers)Frontiers in Genetics (3 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Pingping Wang
158 papers receiving 4.2k citations
Pingping Wang's Hit Papers
Peers
Comparison fields: 5 of 154
- Process Chemistry and Technology 162
- Infectious Diseases 521
- Molecular Biology 1.4k
- Physiology 68
- Cancer Research 176
Countries citing papers authored by Pingping Wang
This map shows the geographic impact of Pingping Wang'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 Pingping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingping Wang more than expected).
Fields of papers citing papers by Pingping Wang
This network shows the impact of papers produced by Pingping Wang. 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 Pingping Wang. The network helps show where Pingping Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pingping Wang, 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 168 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | COVID-19 immune features revealed by a large-scale single-cell transcriptome atlas Hit paper breakdown → | 2021 | 654 |
| 2 | 2018 | 288 | |
| 3 | DeepST: identifying spatial domains in spatial transcriptomics by deep learning Hit paper breakdown → | 2022 | 194 |
| 4 | 2021 | 114 | |
| 5 | 2019 | 99 | |
| 6 | 2019 | 97 | |
| 7 | 2021 | 96 | |
| 8 | 2022 | 94 | |
| 9 | 2021 | 84 | |
| 10 | 2023 | 83 | |
| 11 | 2012 | 81 | |
| 12 | 2022 | 73 | |
| 13 | 2014 | 63 | |
| 14 | 2017 | 58 | |
| 15 | 2022 | 56 | |
| 16 | 2017 | 55 | |
| 17 | 2016 | 52 | |
| 18 | 2020 | 52 | |
| 19 | 2011 | 51 | |
| 20 | 2017 | 51 |
About Pingping Wang
Pingping Wang is a scholar working on Infectious Diseases, Molecular Biology, Organic Chemistry, Mechanical Engineering and Physiology, having authored 168 papers that have together received 4.3k indexed citations. Recurring topics across this work include Catalytic Cross-Coupling Reactions (15 papers), Aluminum Alloys Composites Properties (11 papers), SARS-CoV-2 and COVID-19 Research (11 papers), Single-cell and spatial transcriptomics (8 papers), Alzheimer's disease research and treatments (6 papers), Dementia and Cognitive Impairment Research (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Process Chemistry and Technology (162 citations), Infectious Diseases (521 citations), Molecular Biology (1.4k citations), Physiology (68 citations) and Cancer Research (176 citations). Pingping Wang has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Qinghua Jiang, Wenyang Zhou, Meng Luo, Shuang Yue, Zhaochun Xu, Xiyun Jin, Chang Xu, Mingzhong Cai, Gaohui Wu and Liang Cheng. Their work appears in journals such as Briefings in Bioinformatics, Journal of Organometallic Chemistry, Frontiers in Cell and Developmental Biology, Molecular Therapy — Nucleic Acids and Frontiers in Genetics.
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.