Libing Ma
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
-
- IL-33, ST2, and ILC Pathways
Papers in ⓘ
-
- COVID-19 epidemiological studies 7
- Physiology 25
- Asthma and respiratory diseases 25
- Co-authors
- Xudong Xiang (16 shared papers)Shaokun Liu (12 shared papers)Subo Gong (8 shared papers)Xiaoying Ji (9 shared papers)Shuyuan Chu (13 shared papers)Weizhong Yang (13 shared papers)Luzhao Feng (11 shared papers)Ping Chen (10 shared papers)
- Journals
- Experimental Lung Research (3 papers)International Journal of COPD (3 papers)BMC Pulmonary Medicine (2 papers)Oxidative Medicine and Cellular Longevity (2 papers)Canadian Respiratory Journal (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Libing Ma
63 papers receiving 662 citations
Peers
Comparison fields: 5 of 118
- Modeling and Simulation 38
- Immunology 151
- Health 56
- Physiology 156
- Emergency Medical Services 42
Countries citing papers authored by Libing Ma
This map shows the geographic impact of Libing Ma'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 Libing Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Libing Ma more than expected).
Fields of papers citing papers by Libing Ma
This network shows the impact of papers produced by Libing Ma. 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 Libing Ma. The network helps show where Libing Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Libing Ma, 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 | IL4 and IL-17A provide a Th2/Th17-polarized inflammatory milieu in favor of TGF-β1 to induce bronchial epithelial-mesenchymal transition (EMT). | 2013 | 49 |
| 2 | 2015 | 39 | |
| 3 | 2013 | 32 | |
| 4 | 2013 | 29 | |
| 5 | 2013 | 23 | |
| 6 | 2020 | 23 | |
| 7 | 2020 | 22 | |
| 8 | 2022 | 21 | |
| 9 | 2023 | 21 | |
| 10 | 2014 | 21 | |
| 11 | 2020 | 18 | |
| 12 | 2020 | 18 | |
| 13 | 2021 | 18 | |
| 14 | 2023 | 16 | |
| 15 | 2020 | 15 | |
| 16 | 2011 | 15 | |
| 17 | ANP/NPRA signaling preferentially mediates Th2 responses in favor of pathological processes during the course of acute allergic asthma. | 2015 | 15 |
| 18 | 2022 | 15 | |
| 19 | 2023 | 14 | |
| 20 | 2013 | 13 |
About Libing Ma
Libing Ma is a scholar working on Modeling and Simulation, Physiology, Emergency Medical Services, Health and Immunology, having authored 65 papers that have together received 670 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (25 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (12 papers), IL-33, ST2, and ILC Pathways (10 papers), Neonatal Respiratory Health Research (10 papers), Immune Cell Function and Interaction (9 papers), Vaccine Coverage and Hesitancy (7 papers), Influenza Virus Research Studies (7 papers) and COVID-19 epidemiological studies (7 papers). The work is most often cited by research in Modeling and Simulation (38 citations), Immunology (151 citations), Health (56 citations), Physiology (156 citations) and Emergency Medical Services (42 citations). Libing Ma has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xudong Xiang, Shaokun Liu, Subo Gong, Xiaoying Ji, Shuyuan Chu, Weizhong Yang, Luzhao Feng, Ping Chen, Ting Zhang and Jianwei Huang. Their work appears in journals such as Experimental Lung Research, International Journal of COPD, BMC Pulmonary Medicine, Oxidative Medicine and Cellular Longevity and Canadian Respiratory Journal.
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.