Beibei Du
Impact in
- Neurology top 5%
- Intracranial Aneurysms: Treatment and Complications
- Long-Term Effects of COVID-19
-
- Cerebrovascular and Carotid Artery Diseases
Papers in ⓘ
-
- Intracranial Aneurysms: Treatment and Complications 6
- Long-Term Effects of COVID-19 2
- Co-authors
- Xiaotong Xu (4 shared papers)Ning Ma (3 shared papers)Kun Dong (3 shared papers)Min Jin (3 shared papers)Weijian Jiang (3 shared papers)Xin Lou (2 shared papers)Daoyuan Si (8 shared papers)Lin Ma (1 shared paper)
- Journals
- Neurology (4 papers)American Journal of Neuroradiology (2 papers)BMC Cardiovascular Disorders (2 papers)Medicine (2 papers)Frontiers in Pharmacology (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Beibei Du
35 papers receiving 703 citations
Peers
Comparison fields: 5 of 91
- Neurology 288
- Pulmonary and Respiratory Medicine 393
- Epidemiology 332
- Modeling and Simulation 37
- Cardiology and Cardiovascular Medicine 120
Countries citing papers authored by Beibei Du
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
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.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 90 | |
| 2 | 2020 | 72 | |
| 3 | 2006 | 69 | |
| 4 | 2007 | 66 | |
| 5 | Apollo stent for symptomatic atherosclerotic intracranial stenosis: study results. | 2007 | 54 |
| 6 | 2013 | 45 | |
| 7 | 2020 | 42 | |
| 8 | 2007 | 41 | |
| 9 | 2021 | 37 | |
| 10 | 2017 | 25 | |
| 11 | 2021 | 24 | |
| 12 | 2015 | 22 | |
| 13 | 2020 | 17 | |
| 14 | 2023 | 13 | |
| 15 | 2009 | 10 | |
| 16 | 2021 | 10 | |
| 17 | 2021 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2010 | 8 |
About Beibei Du
Beibei Du is a scholar working on Neurology, Internal Medicine, Genetics, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 39 papers that have together received 712 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (8 papers), Intracranial Aneurysms: Treatment and Complications (6 papers), Acute Ischemic Stroke Management (6 papers), COVID-19 Clinical Research Studies (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Long-Term Effects of COVID-19 (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Neurology (288 citations), Pulmonary and Respiratory Medicine (393 citations), Epidemiology (332 citations), Modeling and Simulation (37 citations) and Cardiology and Cardiovascular Medicine (120 citations). Beibei Du has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Xiaotong Xu, Ning Ma, Kun Dong, Min Jin, Weijian Jiang, Xin Lou, Daoyuan Si, Lin Ma, Ping Yang and Stéphane Massé. Their work appears in journals such as Neurology, American Journal of Neuroradiology, BMC Cardiovascular Disorders, Medicine and Frontiers in Pharmacology.
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.