Pu Gao
Impact in
- Immunology top 1%
- interferon and immune responses
- Immune Response and Inflammation
- Infectious Diseases top 2%
- Viral Infections and Vectors
Papers in
-
- RNA and protein synthesis mechanisms 6
- Inflammasome and immune disorders 5
- RNA regulation and disease 5
- RNA modifications and cancer 5
- Immunology 17
- interferon and immune responses 13
- Immune Cell Function and Interaction 5
- Co-authors
- Dinshaw J. Patel (8 shared papers)Thomas Tuschl (4 shared papers)Manuel Ascano (4 shared papers)Winfried Barchet (3 shared papers)Gunther Hartmann (3 shared papers)Thomas Zillinger (3 shared papers)Barbara L. Gaffney (2 shared papers)Artem A. Serganov (2 shared papers)
- Journals
- Cell (10 papers)Nature Communications (7 papers)Molecular Cell (3 papers)Proceedings of the National Academy of Sciences (2 papers)Nature (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Pu Gao
62 papers receiving 3.5k citations
Pu Gao's Hit Papers
Peers
Comparison fields: 5 of 110
- Immunology 2.0k
- Infectious Diseases 792
- Business and International Management 79
- Molecular Biology 2.1k
- Virology 82
Countries citing papers authored by Pu Gao
This map shows the geographic impact of Pu Gao'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 Pu Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Gao more than expected).
Fields of papers citing papers by Pu Gao
This network shows the impact of papers produced by Pu Gao. 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 Pu Gao. The network helps show where Pu Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Pu Gao, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cyclic [G(2′,5′)pA(3′,5′)p] Is the Metazoan Second Messenger Produced by DNA-Activated Cyclic GMP-AMP Synthase Hit paper breakdown → | 2013 | 867 |
| 2 | Structure-Function Analysis of STING Activation by c[G(2′,5′)pA(3′,5′)p] and Targeting by Antiviral DMXAA Hit paper breakdown → | 2013 | 469 |
| 3 | 2017 | 274 | |
| 4 | 2016 | 217 | |
| 5 | 2016 | 185 | |
| 6 | 2021 | 164 | |
| 7 | 2016 | 118 | |
| 8 | 2021 | 108 | |
| 9 | 2020 | 93 | |
| 10 | 2021 | 92 | |
| 11 | 2019 | 90 | |
| 12 | 2013 | 88 | |
| 13 | 2019 | 79 | |
| 14 | 2014 | 79 | |
| 15 | 2016 | 70 | |
| 16 | 2018 | 48 | |
| 17 | 2022 | 46 | |
| 18 | 2023 | 37 | |
| 19 | 2008 | 34 | |
| 20 | 2022 | 34 |
About Pu Gao
Pu Gao is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Cancer Research and Genetics, having authored 65 papers that have together received 3.6k indexed citations. Recurring topics across this work include interferon and immune responses (13 papers), Viral Infections and Vectors (6 papers), RNA and protein synthesis mechanisms (6 papers), Inflammasome and immune disorders (5 papers), RNA regulation and disease (5 papers), Immune Cell Function and Interaction (5 papers), Carcinogens and Genotoxicity Assessment (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Immunology (2.0k citations), Infectious Diseases (792 citations), Business and International Management (79 citations), Molecular Biology (2.1k citations) and Virology (82 citations). Pu Gao has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Dinshaw J. Patel, Thomas Tuschl, Manuel Ascano, Winfried Barchet, Gunther Hartmann, Thomas Zillinger, Barbara L. Gaffney, Artem A. Serganov, Roger A. Jones and Kanagalaghatta R. Rajashankar. Their work appears in journals such as Cell, Nature Communications, Molecular Cell, Proceedings of the National Academy of Sciences and Nature.
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.