Pingping Tan
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
-
- Pluripotent Stem Cells Research 2
- Epigenetics and DNA Methylation 2
- Genetics 5
- Animal Genetics and Reproduction 3
- Genetic and phenotypic traits in livestock 2
- Co-authors
- Z. Runlin (11 shared papers)Jin Li (1 shared paper)Hao Shi (1 shared paper)Hua Zhong (1 shared paper)Bing Su (1 shared paper)Zhiguang Duan (1 shared paper)Jianfeng Gao (3 shared papers)Chao Huang (4 shared papers)
- Journals
- Neuropharmacology (3 papers)BMC Genomics (2 papers)Journal of genetics and genomics (2 papers)Frontiers in Pharmacology (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Pingping Tan
21 papers receiving 464 citations
Peers
Comparison fields: 5 of 91
- Biological Psychiatry 53
- Behavioral Neuroscience 34
- Genetics 167
- Neurology 33
- Archeology 32
Countries citing papers authored by Pingping Tan
This map shows the geographic impact of Pingping Tan'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 Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingping Tan more than expected).
Fields of papers citing papers by Pingping Tan
This network shows the impact of papers produced by Pingping Tan. 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 Tan. The network helps show where Pingping Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Pingping Tan, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 118 | |
| 2 | 2022 | 54 | |
| 3 | 2013 | 54 | |
| 4 | 2020 | 45 | |
| 5 | 2010 | 34 | |
| 6 | 2018 | 22 | |
| 7 | 2007 | 22 | |
| 8 | 2015 | 20 | |
| 9 | 2022 | 19 | |
| 10 | 2023 | 15 | |
| 11 | 2021 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2024 | 7 | |
| 14 | 2009 | 7 | |
| 15 | 2025 | 7 | |
| 16 | 2012 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2013 | 4 | |
| 19 | 2011 | 3 | |
| 20 | 2008 | 3 |
About Pingping Tan
Pingping Tan is a scholar working on Molecular Biology, Genetics, Biological Psychiatry, Behavioral Neuroscience and Neurology, having authored 21 papers that have together received 476 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Tryptophan and brain disorders (3 papers), Stress Responses and Cortisol (3 papers), Pluripotent Stem Cells Research (2 papers), Kawasaki Disease and Coronary Complications (2 papers), Genetic and phenotypic traits in livestock (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Biological Psychiatry (53 citations), Behavioral Neuroscience (34 citations), Genetics (167 citations), Neurology (33 citations) and Archeology (32 citations). Pingping Tan has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Z. Runlin, Jin Li, Hao Shi, Hua Zhong, Bing Su, Zhiguang Duan, Jianfeng Gao, Chao Huang, Xu Lu and Shu‐Juan Bao. Their work appears in journals such as Neuropharmacology, BMC Genomics, Journal of genetics and genomics, Frontiers in Pharmacology and Biochemical and Biophysical Research Communications.
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.