Peipei Ping
Impact in
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- Endoplasmic Reticulum Stress and Disease
Papers in
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- Bioinformatics and Genomic Networks 7
- Machine Learning in Bioinformatics 5
- Biomedical Text Mining and Ontologies 5
- Metabolomics and Mass Spectrometry Studies 4
- Gene expression and cancer classification 2
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- Advanced Proteomics Techniques and Applications 6
- Mass Spectrometry Techniques and Applications 3
- Co-authors
- Jie Wang (3 shared papers)David A. Liem (5 shared papers)Howard Choi (9 shared papers)Jessica M. Lee (1 shared paper)Wei Wang (9 shared papers)Bilal Mirza (6 shared papers)Neo Christopher Chung (4 shared papers)Maggie P. Y. Lam (3 shared papers)
- Journals
- Journal of Proteome Research (3 papers)Journal of Molecular and Cellular Cardiology (2 papers)Journal of Visualized Experiments (2 papers)Gene (1 paper)Journal of Proteomics (1 paper)
- Partner nations
- United StatesChinaPoland
In The Last Decade
Peipei Ping
23 papers receiving 785 citations
Peers
Comparison fields: 5 of 118
- Aging 14
- Cell Biology 101
- Health Informatics 8
- Molecular Biology 405
- Spectroscopy 79
Countries citing papers authored by Peipei Ping
This map shows the geographic impact of Peipei Ping'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 Peipei Ping with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peipei Ping more than expected).
Fields of papers citing papers by Peipei Ping
This network shows the impact of papers produced by Peipei Ping. 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 Peipei Ping. The network helps show where Peipei Ping may publish in the future.
Co-authors
The 25 scholars most cited alongside Peipei Ping, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 247 | |
| 2 | 2017 | 217 | |
| 3 | 2016 | 72 | |
| 4 | 2016 | 68 | |
| 5 | 2019 | 41 | |
| 6 | 2020 | 31 | |
| 7 | 2018 | 20 | |
| 8 | 2023 | 19 | |
| 9 | 2015 | 17 | |
| 10 | 2018 | 16 | |
| 11 | 2017 | 9 | |
| 12 | 2016 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2018 | 7 | |
| 15 | 2020 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2021 | 2 | |
| 19 | 2019 | 1 | |
| 20 | 2025 | 1 |
About Peipei Ping
Peipei Ping is a scholar working on Molecular Biology, Spectroscopy, Information Systems and Management, Cardiology and Cardiovascular Medicine and Oncology, having authored 23 papers that have together received 796 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Advanced Proteomics Techniques and Applications (6 papers), Machine Learning in Bioinformatics (5 papers), Biomedical Text Mining and Ontologies (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Scientific Computing and Data Management (3 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Aging (14 citations), Cell Biology (101 citations), Health Informatics (8 citations), Molecular Biology (405 citations) and Spectroscopy (79 citations). Peipei Ping has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Jie Wang, David A. Liem, Howard Choi, Jessica M. Lee, Wei Wang, Bilal Mirza, Neo Christopher Chung, Maggie P. Y. Lam, Elizabeth Murphy and Ding Wang. Their work appears in journals such as Journal of Proteome Research, Journal of Molecular and Cellular Cardiology, Journal of Visualized Experiments, Gene and Journal of Proteomics.
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.