Pinglong Xu
Impact in
- Immunology top 2%
- interferon and immune responses
- Immune Response and Inflammation
- Molecular Biology top 5%
- Inflammasome and immune disorders
- TGF-β signaling in diseases
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
Papers in
-
- Inflammasome and immune disorders 13
- TGF-β signaling in diseases 8
- RNA regulation and disease 8
- Immunology 35
- interferon and immune responses 30
- Immune Response and Inflammation 7
- Co-authors
- Rik Derynck (5 shared papers)Chen Chen (3 shared papers)Xin‐Hua Feng (27 shared papers)Jianming Liu (2 shared papers)Ruyuan Zhou (10 shared papers)Shengduo Liu (11 shared papers)Xia Lin (11 shared papers)Shasha Chen (7 shared papers)
- Journals
- Nature Communications (7 papers)Molecular Cell (6 papers)Nature Cell Biology (5 papers)Cell Reports (5 papers)Science Advances (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Pinglong Xu
76 papers receiving 3.1k citations
Pinglong Xu's Hit Papers
Peers
Comparison fields: 5 of 107
- Immunology 1.2k
- Molecular Biology 1.6k
- Cell Biology 387
- Oncology 557
- Cancer Research 308
Countries citing papers authored by Pinglong Xu
This map shows the geographic impact of Pinglong Xu'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 Pinglong Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pinglong Xu more than expected).
Fields of papers citing papers by Pinglong Xu
This network shows the impact of papers produced by Pinglong Xu. 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 Pinglong Xu. The network helps show where Pinglong Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Pinglong Xu, 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cellular functions of cGAS-STING signaling Hit paper breakdown → | 2022 | 293 |
| 2 | 2010 | 229 | |
| 3 | 2019 | 203 | |
| 4 | A non-canonical cGAS–STING–PERK pathway facilitates the translational program critical for senescence and organ fibrosis Hit paper breakdown → | 2022 | 185 |
| 5 | 2012 | 170 | |
| 6 | 2017 | 165 | |
| 7 | 2012 | 121 | |
| 8 | 2009 | 119 | |
| 9 | 2016 | 85 | |
| 10 | 2021 | 79 | |
| 11 | 2016 | 73 | |
| 12 | 2020 | 70 | |
| 13 | 2016 | 69 | |
| 14 | 2020 | 68 | |
| 15 | 2014 | 66 | |
| 16 | 2020 | 62 | |
| 17 | 2016 | 58 | |
| 18 | 2024 | 54 | |
| 19 | 2022 | 48 | |
| 20 | 2017 | 47 |
About Pinglong Xu
Pinglong Xu is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Oncology and Cell Biology, having authored 84 papers that have together received 3.1k indexed citations. Recurring topics across this work include interferon and immune responses (30 papers), Inflammasome and immune disorders (13 papers), Viral Infections and Vectors (11 papers), Hippo pathway signaling and YAP/TAZ (8 papers), Hepatitis Viruses Studies and Epidemiology (8 papers), TGF-β signaling in diseases (8 papers), RNA regulation and disease (8 papers) and Immune Response and Inflammation (7 papers). The work is most often cited by research in Immunology (1.2k citations), Molecular Biology (1.6k citations), Cell Biology (387 citations), Oncology (557 citations) and Cancer Research (308 citations). Pinglong Xu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Rik Derynck, Chen Chen, Xin‐Hua Feng, Jianming Liu, Ruyuan Zhou, Shengduo Liu, Xia Lin, Shasha Chen, Jian Zou and Qian Zhang. Their work appears in journals such as Nature Communications, Molecular Cell, Nature Cell Biology, Cell Reports and Science Advances.
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.