Ping Tang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- PI3K/AKT/mTOR signaling in cancer
- RNA modifications and cancer
- Gut microbiota and health
- Circular RNAs in diseases
Papers in ⓘ
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- S100 Proteins and Annexins 3
- Circular RNAs in diseases 3
- Lipid Membrane Structure and Behavior 2
- Mechanisms of cancer metastasis 2
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- Immune Response and Inflammation 4
- Co-authors
- Jim Klostergaard (4 shared papers)Mien‐Chie Hung (4 shared papers)Li Li (2 shared papers)Hong Yang (1 shared paper)Shun Li (1 shared paper)Chunhui Wu (1 shared paper)Xiang Qin (1 shared paper)Yiyao Liu (1 shared paper)
- Journals
- Biochemistry (2 papers)Experimental Cell Research (2 papers)Scientific Reports (1 paper)Cell Death Discovery (1 paper)Aging (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ping Tang
24 papers receiving 850 citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Cancer Research 218
- Molecular Biology 591
- Immunology and Allergy 45
- Immunology 130
- Oncology 159
Countries citing papers authored by Ping Tang
This map shows the geographic impact of Ping Tang'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 Ping Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Tang more than expected).
Fields of papers citing papers by Ping Tang
This network shows the impact of papers produced by Ping Tang. 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 Ping Tang. The network helps show where Ping Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Tang, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Adenoviral transgene expression of MMAC/PTEN in human glioma cells inhibits Akt activation and induces anoikis. | 1998 | 182 |
| 2 | 2017 | 167 | |
| 3 | 1996 | 102 | |
| 4 | Probiotics fortify intestinal barrier function: a systematic review and meta-analysis of randomized trials Hit paper breakdown → | 2023 | 91 |
| 5 | 2018 | 35 | |
| 6 | 2019 | 35 | |
| 7 | 2012 | 34 | |
| 8 | 1996 | 34 | |
| 9 | 2020 | 26 | |
| 10 | 1995 | 24 | |
| 11 | 2020 | 20 | |
| 12 | 2018 | 17 | |
| 13 | 2021 | 15 | |
| 14 | 2012 | 14 | |
| 15 | 2022 | 12 | |
| 16 | TNF cytotoxicity: effects of HER-2/neu expression and inhibitors of ADP-ribosylation. | 1994 | 11 |
| 17 | 2024 | 11 | |
| 18 | 2013 | 8 | |
| 19 | 2017 | 8 | |
| 20 | 2023 | 4 |
About Ping Tang
Ping Tang is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 25 papers that have together received 862 indexed citations. Recurring topics across this work include Immune Response and Inflammation (4 papers), Cancer-related molecular mechanisms research (4 papers), S100 Proteins and Annexins (3 papers), Circular RNAs in diseases (3 papers), Cancer Mechanisms and Therapy (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Lipid Membrane Structure and Behavior (2 papers) and Mechanisms of cancer metastasis (2 papers). The work is most often cited by research in Cancer Research (218 citations), Molecular Biology (591 citations), Immunology and Allergy (45 citations), Immunology (130 citations) and Oncology (159 citations). Ping Tang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jim Klostergaard, Mien‐Chie Hung, Li Li, Hong Yang, Shun Li, Chunhui Wu, Xiang Qin, Yiyao Liu, Peter A. Steck and Tetsuro Sano. Their work appears in journals such as Biochemistry, Experimental Cell Research, Scientific Reports, Cell Death Discovery and Aging.
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.