Beibei Du

1.0k citations
40 papers · 725 · h-index 14

Impact in

Papers in

Beibei Du

36 papers receiving 717 citations

Peers

Beibei Du
Comparison fields: 5 of 87
  • Pulmonary and Respiratory Medicine 349
  • Neurology 126
  • Modeling and Simulation 35
  • Cardiology and Cardiovascular Medicine 90
  • Epidemiology 129
Replace Skaidrius Miliauskas with:
Skaidrius Miliauskas Lithuania
Hirokazu Touge Japan
Shiromi M. Perera United States
Sandipan Chakraborty United States
David J. Benjamin United States
Gael B. Morrow United Kingdom
P Rambotti Italy
Ruonan Yang China
Deepak Atri United States
Mahboob Chowdhury United States
Beibei Du relative to Skaidrius Miliauskas Lithuania Skaidrius Miliauskas's profile →
Citations per field
00.5×
Skaidrius Miliauskas · 1×
Citations per year

Countries citing papers authored by Beibei Du

Since Specialization
Citations

This map shows the geographic impact of Beibei Du'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 Beibei Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beibei Du more than expected).

Fields of papers citing papers by Beibei Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beibei Du. 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 Beibei Du. The network helps show where Beibei Du may publish in the future.

Co-authors

The 25 scholars most cited alongside Beibei Du, 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 Beibei Du Line = papers co-authored together Beibei Du links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201090
2 202072
3 200670
4 200766
5
Apollo stent for symptomatic atherosclerotic intracranial stenosis: study results.
200755
6 201345
7 202042
8 200741
9 202137
10 201726
11 202124
12 201522
13 202018
14 202314
15 200910
16 202110
17 202110
18 20228
19 20218
20 20108

About Beibei Du

Beibei Du is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine and Infectious Diseases, having authored 40 papers that have together received 725 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (8 papers), COVID-19 Clinical Research Studies (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Extracellular vesicles in disease (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Parkinson's Disease Mechanisms and Treatments (1 paper) and Photochemistry and Electron Transfer Studies (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (349 citations), Neurology (126 citations), Modeling and Simulation (35 citations), Cardiology and Cardiovascular Medicine (90 citations) and Epidemiology (129 citations). Beibei Du has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Xiaotong Xu, Ning Ma, Min Jin, Xin Lou, Kun Dong, Daoyuan Si, Ping Yang, Weijian Jiang, Lin Ma and Kumaraswamy Nanthakumar. Their work appears in journals such as Neurology, Frontiers in Pharmacology, BMC Cardiovascular Disorders, American Journal of Neuroradiology 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.

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