Su Mi
Impact in
- Immunology top 10%
- Immune Response and Inflammation
- IL-33, ST2, and ILC Pathways
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Occupational and environmental lung diseases
- Neonatal Respiratory Health Research
Papers in
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- Pediatric health and respiratory diseases 3
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 5
- Chronic Obstructive Pulmonary Disease (COPD) Research 3
- Neonatal Respiratory Health Research 2
Su Mi
18 papers receiving 860 citations
Peers
Comparison fields: 5 of 88
- Immunology 248
- Pulmonary and Respiratory Medicine 292
- Epidemiology 223
- Cancer Research 76
- Hepatology 38
Countries citing papers authored by Su Mi
This map shows the geographic impact of Su Mi'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 Su Mi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Mi more than expected).
Fields of papers citing papers by Su Mi
This network shows the impact of papers produced by Su Mi. 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 Su Mi. The network helps show where Su Mi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Su Mi, 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 | 2016 | 42 | |
| 2 | 2014 | 5 | |
| 3 | 2013 | 81 | |
| 4 | 2013 | 49 | |
| 5 | Coupled Bioelectrochemical System for Reducing CO_2 to Simple Organic Compounds in the Presence of H_2 | 2013 | 1 |
| 6 | 2013 | 13 | |
| 7 | 2012 | 93 | |
| 8 | 2012 | 48 | |
| 9 | [Blocking IL-17A protects against lung injury-induced pulmonary fibrosis through promoting the activation of p50NF-kappaB]. | 2012 | 6 |
| 10 | 2012 | 23 | |
| 11 | 2011 | 132 | |
| 12 | 2011 | 6 | |
| 13 | 2011 | 33 | |
| 14 | 2011 | 311 | |
| 15 | [Suppressing myocardial fibrosis to promote myocardial regeneration as a therapeutic strategy for chronic cardiovascular diseases]. | 2010 | 4 |
| 16 | Toll like receptor 2 mediates bleomycin-induced acute lung injury, inflammation and fibrosis in mice. | 2010 | 17 |
| 17 | [The identification and advances of regulatory B cells]. | 2009 | 1 |
| 18 | 2008 | 1 |
About Su Mi
Su Mi is a scholar working on Emergency Medical Services, Pulmonary and Respiratory Medicine, Immunology, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 866 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Autophagy in Disease and Therapy (5 papers), Pediatric health and respiratory diseases (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Neonatal Respiratory Health Research (2 papers), Immune Response and Inflammation (2 papers), Immune cells in cancer (2 papers) and Chemotherapy-induced cardiotoxicity and mitigation (2 papers). The work is most often cited by research in Immunology (248 citations), Pulmonary and Respiratory Medicine (292 citations), Epidemiology (223 citations), Cancer Research (76 citations) and Hepatology (38 citations). Su Mi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhuowei Hu, Fang Hua, Hong Liu, Yonggang Ma, Wei Sun, Xiaoxing Wang, Hanzhi Liu, Hongzhen Yang, Zhe Li and Jia-Ping Wang. Their work appears in journals such as PLoS ONE, The Journal of Immunology, Autophagy, Acta Pharmaceutica Sinica B and American Journal Of Pathology.
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.