Tingting Weng
- Physiology top 1%
- Adenosine and Purinergic Signaling 7
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 8
- MicroRNA in disease regulation 7
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- Neonatal Respiratory Health Research 14
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 8
- Pulmonary Hypertension Research and Treatments 8
- Rehabilitation top 5%
- Wound Healing and Treatments 7
- Microbiology top 10%
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- Neuroscience of respiration and sleep 6
- Co-authors
- Lin LiuYujie GuoMichael R. BlackburnChunmao HanXingang WangYang WangDeming GouHarry Karmouty‐Quintana
- Journals
- Nucleic Acids Research (1 paper)Journal of Biological Chemistry (3 papers)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Tingting Weng
69 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 129
- Physiology 232
- Cancer Research 450
- Pulmonary and Respiratory Medicine 781
- Rehabilitation 163
- Microbiology 12
Countries citing papers authored by Tingting Weng
This map shows the geographic impact of Tingting Weng'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 Tingting Weng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingting Weng more than expected).
Fields of papers citing papers by Tingting Weng
This network shows the impact of papers produced by Tingting Weng. 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 Tingting Weng. The network helps show where Tingting Weng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tingting Weng, 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 | 2 | |
| 2 | 2022 | 8 | |
| 3 | 2022 | 16 | |
| 4 | 2021 | 17 | |
| 5 | 2020 | 1 | |
| 6 | 2020 | 20 | |
| 7 | 2018 | 92 | |
| 8 | 2018 | 28 | |
| 9 | 2018 | 19 | |
| 10 | 2017 | 0 | |
| 11 | 2016 | 50 | |
| 12 | 2016 | 21 | |
| 13 | 2015 | 34 | |
| 14 | 2014 | 44 | |
| 15 | 2013 | 50 | |
| 16 | 2008 | 15 | |
| 17 | 2007 | 58 | |
| 18 | 2007 | 40 | |
| 19 | 2007 | 13 | |
| 20 | 2006 | 24 |
About Tingting Weng
Tingting Weng is a scholar working on Physiology, Microbiology and Cancer Research, having authored 73 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (14 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers), Cancer-related molecular mechanisms research (8 papers), Pulmonary Hypertension Research and Treatments (8 papers), Wound Healing and Treatments (7 papers), MicroRNA in disease regulation (7 papers), Adenosine and Purinergic Signaling (7 papers) and Neuroscience of respiration and sleep (6 papers). The work is most often cited by research in Physiology (232 citations), Cancer Research (450 citations) and Pulmonary and Respiratory Medicine (781 citations). Tingting Weng has collaborated with scholars based in United States, China and France. Frequent co-authors include Lin Liu, Yujie Guo, Michael R. Blackburn, Chunmao Han, Xingang Wang, Yang Wang, Deming Gou, Harry Karmouty‐Quintana, Narendranath Reddy Chintagari and Ronghua Jin. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.