Heng Ru
Impact in
- Immunology top 5%
- interferon and immune responses
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Structural Biology top 10%
Papers in
-
- Cell death mechanisms and regulation 2
- Receptor Mechanisms and Signaling 2
-
- interferon and immune responses 5
- Immune Response and Inflammation 4
- T-cell and B-cell Immunology 2
- Co-authors
- Hao Wu (5 shared papers)Zhi‐Jie Liu (5 shared papers)Songying Ouyang (4 shared papers)Neil Shaw (4 shared papers)Genhong Cheng (3 shared papers)Maofu Liao (3 shared papers)Fengfeng Niu (2 shared papers)Tian‐Min Fu (2 shared papers)
- Journals
- Cell (3 papers)Nature (2 papers)Nature Communications (2 papers)Proceedings of the National Academy of Sciences (1 paper)Journal of Molecular Cell Biology (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Heng Ru
18 papers receiving 1.1k citations
Heng Ru's Hit Papers
Peers
Comparison fields: 5 of 86
- Immunology 482
- Structural Biology 15
- Infectious Diseases 169
- Molecular Biology 604
- Cancer Research 118
Countries citing papers authored by Heng Ru
This map shows the geographic impact of Heng Ru'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 Heng Ru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heng Ru more than expected).
Fields of papers citing papers by Heng Ru
This network shows the impact of papers produced by Heng Ru. 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 Heng Ru. The network helps show where Heng Ru may publish in the future.
Co-authors
The 25 scholars most cited alongside Heng Ru, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 291 | |
| 2 | AARS1 and AARS2 sense l-lactate to regulate cGAS as global lysine lactyltransferases Hit paper breakdown → | 2024 | 200 |
| 3 | 2015 | 132 | |
| 4 | 2014 | 89 | |
| 5 | 2022 | 73 | |
| 6 | 2019 | 70 | |
| 7 | 2024 | 58 | |
| 8 | 2015 | 42 | |
| 9 | 2018 | 33 | |
| 10 | 2012 | 24 | |
| 11 | 2023 | 21 | |
| 12 | 2025 | 20 | |
| 13 | 2018 | 20 | |
| 14 | 2013 | 19 | |
| 15 | 2025 | 2 | |
| 16 | 2015 | 2 | |
| 17 | 2008 | 2 | |
| 18 | 2025 | 1 |
About Heng Ru
Heng Ru is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Ecology and Cancer Research, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include interferon and immune responses (5 papers), Immune Response and Inflammation (4 papers), T-cell and B-cell Immunology (2 papers), Cell death mechanisms and regulation (2 papers), Receptor Mechanisms and Signaling (2 papers), Viral Infections and Vectors (2 papers), Viral Infections and Outbreaks Research (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Immunology (482 citations), Structural Biology (15 citations), Infectious Diseases (169 citations), Molecular Biology (604 citations) and Cancer Research (118 citations). Heng Ru has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hao Wu, Zhi‐Jie Liu, Songying Ouyang, Neil Shaw, Genhong Cheng, Maofu Liao, Fengfeng Niu, Tian‐Min Fu, Alex Tong and Melissa G. Chambers. Their work appears in journals such as Cell, Nature, Nature Communications, Proceedings of the National Academy of Sciences and Journal of Molecular Cell Biology.
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.