Ruoning Wang
- Immunology top 0.5%
- Immune Cell Function and Interaction 20
- Immune cells in cancer 15
- T-cell and B-cell Immunology 8
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism 15
- Biological Psychiatry top 5%
- Oncology top 2%
- CAR-T cell therapy research 6
- Molecular Biology top 2%
-
- Pancreatic function and diabetes 8
-
- Microtubule and mitosis dynamics 7
-
- Diabetes and associated disorders 6
- Co-authors
- Douglas R. GreenLewis Z. ShiHongbo ChiSandra MilastaPeter VogelGonghua HuangGeoffrey NealeDavid Finkelstein
- Journals
- Cell Reports (3 papers)The Journal of Immunology (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Ruoning Wang
67 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Immunology 3.9k
- Cancer Research 1.6k
- Biological Psychiatry 143
- Oncology 1.4k
- Molecular Biology 3.6k
Countries citing papers authored by Ruoning Wang
This map shows the geographic impact of Ruoning Wang'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 Ruoning Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruoning Wang more than expected).
Fields of papers citing papers by Ruoning Wang
This network shows the impact of papers produced by Ruoning Wang. 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 Ruoning Wang. The network helps show where Ruoning Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ruoning Wang, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 11 | |
| 5 | 2023 | 58 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 50 | |
| 9 | 2022 | 38 | |
| 10 | 2021 | 73 | |
| 11 | 2020 | 59 | |
| 12 | 2020 | 9 | |
| 13 | 2016 | 74 | |
| 14 | c-Myc Is a Universal Amplifier of Expressed Genes in Lymphocytes and Embryonic Stem Cellsbreakdown → | 2012 | 792 |
| 15 | 2012 | 25 | |
| 16 | 2011 | 33 | |
| 17 | The Transcription Factor Myc Controls Metabolic Reprogramming upon T Lymphocyte Activationbreakdown → | 2011 | 1614 |
| 18 | HIF1α–dependent glycolytic pathway orchestrates a metabolic checkpoint for the differentiation of TH17 and Treg cellsbreakdown → | 2011 | 1402 |
| 19 | 2008 | 60 | |
| 20 | 2007 | 109 |
About Ruoning Wang
Ruoning Wang is a scholar working on Immunology, Cancer Research and Geriatrics and Gerontology, having authored 70 papers that have together received 7.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (20 papers), Cancer, Hypoxia, and Metabolism (15 papers), Immune cells in cancer (15 papers), T-cell and B-cell Immunology (8 papers), Pancreatic function and diabetes (8 papers), Microtubule and mitosis dynamics (7 papers), Diabetes and associated disorders (6 papers) and CAR-T cell therapy research (6 papers). The work is most often cited by research in Immunology (3.9k citations), Cancer Research (1.6k citations) and Biological Psychiatry (143 citations). Ruoning Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Douglas R. Green, Lewis Z. Shi, Hongbo Chi, Sandra Milasta, Peter Vogel, Gonghua Huang, Geoffrey Neale, David Finkelstein, Robert Carter and Patrick Fitzgerald. Their work appears in journals such as Cell Reports, The Journal of Immunology, Proceedings of the National Academy of Sciences, Molecular Biology of the Cell and eLife.
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.