Bing Dai

2.1k citations
96 papers · 1.5k · 1 hit paper · h-index 22

Impact in

Papers in

Bing Dai

86 papers receiving 1.4k citations

Bing Dai's Hit Papers

A novel role for the ROS-ATM-Chk2 axis mediated metabolic and cell cycle reprogramming in the M1 macrophage polarization 2024 · 73 citations
730+1Years since publication204060

Peers

Bing Dai
Comparison fields: 5 of 103
  • Nephrology 321
  • Pulmonary and Respiratory Medicine 271
  • Critical Care and Intensive Care Medicine 34
  • Cancer Research 107
  • Pathology and Forensic Medicine 118
Replace Simona Granata with:
Simona Granata Italy
Fan He China
Philip W. Peake Australia
Sanjeev Noel United States
Xiaoyan Wu China
Dunja Rogić Croatia
Elio Gulletta Italy
Patricia G. Vallés Argentina
Ping Wen China
Bing Dai relative to Simona Granata Italy Simona Granata's profile →
Citations per field
00.5×2.6×
Simona Granata · 1×
Citations per year

Countries citing papers authored by Bing Dai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Bing Dai Line = papers co-authored together Bing Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012158
2 2013109
3
Placenta inflammation is closely associated with gestational diabetes mellitus.
2021102
4
A novel role for the ROS-ATM-Chk2 axis mediated metabolic and cell cycle reprogramming in the M1 macrophage polarization
Hit paper breakdown →
202473
5 201561
6 202152
7 202151
8 201047
9 202239
10 201137
11 201737
12 201336
13 201235
14 201833
15 201731
16 201931
17 201230
18 202028
19 202327
20 200524

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 (321 citations), Pulmonary and Respiratory Medicine (271 citations), Critical Care and Intensive Care Medicine (34 citations), Cancer Research (107 citations) and Pathology and Forensic Medicine (118 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, Chunlu Li and Yunxiao Shang. Their work appears in journals such as Therapeutic Advances in Respiratory Disease, Respiratory Care, Frontiers in Medicine, HLA and Respiration.

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.

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