Bing Dai
Impact in
- Nephrology top 2%
- Parathyroid Disorders and Treatments
-
- Respiratory Support and Mechanisms
- Inhalation and Respiratory Drug Delivery
Papers in
-
- Respiratory Support and Mechanisms 13
- Inhalation and Respiratory Drug Delivery 8
-
- Fibroblast Growth Factor Research 4
- Gut microbiota and health 3
- Co-authors
- Valentin David (4 shared papers)L. Darryl Quarles (4 shared papers)Aline Martin (3 shared papers)Jinsong Huang (2 shared papers)Wei Tan (25 shared papers)Hongwen Zhao (23 shared papers)Jian Kang (14 shared papers)Na Yu (5 shared papers)
- Journals
- Therapeutic Advances in Respiratory Disease (6 papers)Respiratory Care (5 papers)HLA (3 papers)Frontiers in Medicine (3 papers)Medicine (2 papers)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Bing Dai
86 papers receiving 1.5k citations
Bing Dai's Hit Papers
Peers
Comparison fields: 5 of 104
- Nephrology 336
- Pulmonary and Respiratory Medicine 276
- Critical Care and Intensive Care Medicine 35
- Cancer Research 107
- Pathology and Forensic Medicine 123
Countries citing papers authored by Bing Dai
This map shows the geographic impact of Bing Dai'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 Bing Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Dai more than expected).
Fields of papers citing papers by Bing Dai
This network shows the impact of papers produced by Bing Dai. 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 Bing Dai. The network helps show where Bing Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Dai, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 160 | |
| 2 | 2013 | 116 | |
| 3 | Placenta inflammation is closely associated with gestational diabetes mellitus. | 2021 | 102 |
| 4 | A novel role for the ROS-ATM-Chk2 axis mediated metabolic and cell cycle reprogramming in the M1 macrophage polarization Hit paper breakdown → | 2024 | 73 |
| 5 | 2015 | 64 | |
| 6 | 2010 | 56 | |
| 7 | 2021 | 52 | |
| 8 | 2021 | 51 | |
| 9 | 2022 | 39 | |
| 10 | 2017 | 39 | |
| 11 | 2012 | 39 | |
| 12 | 2013 | 37 | |
| 13 | 2011 | 37 | |
| 14 | 2018 | 33 | |
| 15 | 2017 | 32 | |
| 16 | 2012 | 32 | |
| 17 | 2019 | 32 | |
| 18 | 2020 | 28 | |
| 19 | 2023 | 27 | |
| 20 | 2005 | 25 |
About Bing Dai
Bing Dai is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Immunology, Nephrology and Pathology and Forensic Medicine, having authored 96 papers that have together received 1.5k indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (13 papers), Inhalation and Respiratory Drug Delivery (8 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers), Fibroblast Growth Factor Research (4 papers), Parathyroid Disorders and Treatments (4 papers), Gut microbiota and health (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Nephrology (336 citations), Pulmonary and Respiratory Medicine (276 citations), Critical Care and Intensive Care Medicine (35 citations), Cancer Research (107 citations) and Pathology and Forensic Medicine (123 citations). Bing Dai has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Valentin David, L. Darryl Quarles, Aline Martin, Jinsong Huang, Wei Tan, Hongwen Zhao, Jian Kang, Na Yu, Yunxiao Shang and Chunlu Li. Their work appears in journals such as Therapeutic Advances in Respiratory Disease, Respiratory Care, HLA, Frontiers in Medicine and 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.