Ningfei Ji
Impact in
Papers in
-
- Chronic Obstructive Pulmonary Disease (COPD) Research 6
- Neonatal Respiratory Health Research 4
- Physiology 14
- Asthma and respiratory diseases 12
- Co-authors
- Mao Huang (34 shared papers)Mingshun Zhang (37 shared papers)Zhongqi Chen (25 shared papers)Zhengxia Wang (31 shared papers)Ganzhu Feng (6 shared papers)Mao Huang (6 shared papers)Jing Wei (4 shared papers)Mingjing Wu (4 shared papers)
- Journals
- International Immunopharmacology (5 papers)Annals of Translational Medicine (3 papers)Allergy Asthma and Immunology Research (3 papers)Journal of Biomedical Nanotechnology (3 papers)Stem Cell Research & Therapy (2 papers)
- Partner nations
- China
In The Last Decade
Ningfei Ji
57 papers receiving 911 citations
Ningfei Ji's Hit Papers
Peers
Comparison fields: 5 of 98
- Genetics 151
- Neurology 108
- Infectious Diseases 137
- Immunology 140
- Physiology 119
Countries citing papers authored by Ningfei Ji
This map shows the geographic impact of Ningfei Ji'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 Ningfei Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ningfei Ji more than expected).
Fields of papers citing papers by Ningfei Ji
This network shows the impact of papers produced by Ningfei Ji. 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 Ningfei Ji. The network helps show where Ningfei Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Ningfei Ji, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Treatment of severe COVID-19 with human umbilical cord mesenchymal stem cells Hit paper breakdown → | 2020 | 214 |
| 2 | 2015 | 75 | |
| 3 | 2020 | 71 | |
| 4 | 2014 | 68 | |
| 5 | 2022 | 58 | |
| 6 | 2011 | 27 | |
| 7 | 2018 | 26 | |
| 8 | 2021 | 25 | |
| 9 | 2020 | 22 | |
| 10 | 2020 | 22 | |
| 11 | 2023 | 20 | |
| 12 | 2021 | 18 | |
| 13 | 2023 | 18 | |
| 14 | 2021 | 16 | |
| 15 | 2019 | 16 | |
| 16 | 2020 | 15 | |
| 17 | 2021 | 15 | |
| 18 | 2018 | 15 | |
| 19 | 2022 | 13 | |
| 20 | 2018 | 13 |
About Ningfei Ji
Ningfei Ji is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Immunology, Infectious Diseases and Molecular Biology, having authored 62 papers that have together received 925 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (12 papers), IL-33, ST2, and ILC Pathways (10 papers), COVID-19 Clinical Research Studies (8 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Neonatal Respiratory Health Research (4 papers), Fungal Infections and Studies (3 papers) and Pediatric health and respiratory diseases (3 papers). The work is most often cited by research in Genetics (151 citations), Neurology (108 citations), Infectious Diseases (137 citations), Immunology (140 citations) and Physiology (119 citations). Ningfei Ji has collaborated with scholars based in China. Frequent co-authors include Mao Huang, Mingshun Zhang, Zhongqi Chen, Zhengxia Wang, Ganzhu Feng, Mao Huang, Jing Wei, Mingjing Wu, Jiaxin Yan and Kaili Deng. Their work appears in journals such as International Immunopharmacology, Annals of Translational Medicine, Allergy Asthma and Immunology Research, Journal of Biomedical Nanotechnology and Stem Cell Research & Therapy.
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.