Lingyan Ping
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Metabolomics and Mass Spectrometry Studies 5
- Bioinformatics and Genomic Networks 4
- Ubiquitin and proteasome pathways 3
- Physiology 12
- Alzheimer's disease research and treatments 12
- Co-authors
- Duc M. Duong (17 shared papers)Allan I. Levey (15 shared papers)James J. Lah (13 shared papers)Nicholas T. Seyfried (15 shared papers)Eric B. Dammer (16 shared papers)Marla Gearing (7 shared papers)Erik C. B. Johnson (9 shared papers)Luming Yin (5 shared papers)
- Journals
- Alzheimer s & Dementia (3 papers)Journal of Proteome Research (3 papers)Scientific Data (3 papers)Molecular Neurodegeneration (2 papers)iScience (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Lingyan Ping
23 papers receiving 861 citations
Peers
Comparison fields: 5 of 91
- Biological Psychiatry 56
- Neurology 161
- Physiology 428
- Spectroscopy 125
- Molecular Biology 488
Countries citing papers authored by Lingyan Ping
This map shows the geographic impact of Lingyan 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 Lingyan Ping with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingyan Ping more than expected).
Fields of papers citing papers by Lingyan Ping
This network shows the impact of papers produced by Lingyan 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 Lingyan Ping. The network helps show where Lingyan Ping may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingyan 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 194 | |
| 2 | 2018 | 135 | |
| 3 | 2022 | 78 | |
| 4 | 2020 | 76 | |
| 5 | 2021 | 61 | |
| 6 | 2020 | 56 | |
| 7 | 2018 | 56 | |
| 8 | 2016 | 45 | |
| 9 | 2013 | 26 | |
| 10 | 2023 | 24 | |
| 11 | 2023 | 21 | |
| 12 | 2022 | 15 | |
| 13 | 2021 | 14 | |
| 14 | 2015 | 12 | |
| 15 | 2021 | 10 | |
| 16 | 2016 | 10 | |
| 17 | 2012 | 9 | |
| 18 | 2022 | 7 | |
| 19 | 2002 | 6 | |
| 20 | 2024 | 5 |
About Lingyan Ping
Lingyan Ping is a scholar working on Molecular Biology, Physiology, Spectroscopy, Biological Psychiatry and Genetics, having authored 26 papers that have together received 870 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (12 papers), Advanced Proteomics Techniques and Applications (9 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Bioinformatics and Genomic Networks (4 papers), Tryptophan and brain disorders (3 papers), Ubiquitin and proteasome pathways (3 papers), Biotin and Related Studies (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Biological Psychiatry (56 citations), Neurology (161 citations), Physiology (428 citations), Spectroscopy (125 citations) and Molecular Biology (488 citations). Lingyan Ping has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Duc M. Duong, Allan I. Levey, James J. Lah, Nicholas T. Seyfried, Eric B. Dammer, Marla Gearing, Erik C. B. Johnson, Luming Yin, Maotian Zhou and Cheyenne Hurst. Their work appears in journals such as Alzheimer s & Dementia, Journal of Proteome Research, Scientific Data, Molecular Neurodegeneration and iScience.
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.