MingMing Ning
- Neurology top 1%
- Traumatic Brain Injury and Neurovascular Disturbances 15
- Neuroinflammation and Neurodegeneration Mechanisms 11
- Intracranial Aneurysms: Treatment and Complications 9
- Intracerebral and Subarachnoid Hemorrhage Research 7
- Neurology top 1%
- Traumatic Brain Injury and Neurovascular Disturbances 15
- Neuroinflammation and Neurodegeneration Mechanisms 11
- Intracranial Aneurysms: Treatment and Complications 9
- Intracerebral and Subarachnoid Hemorrhage Research 7
- Internal Medicine top 5%
- Epidemiology top 2%
- Acute Ischemic Stroke Management 27
- Developmental Neuroscience top 5%
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- Cardiovascular and Diving-Related Complications 12
- Cerebrovascular and Carotid Artery Diseases 10
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- S100 Proteins and Annexins 10
- Co-authors
- Eng H. LoKaren L. FurieXiaoying WangJonathan RosandSteven M. GreenbergEric E. SmithJessica A. EngSun-Ryung Lee
- Cited by
- NeurologyInternal Medicine
- Partner nations
- United StatesChinaSpain
In The Last Decade
MingMing Ning
84 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 118
- Neurology 652
- Neurology 1.0k
- Internal Medicine 139
- Epidemiology 1.1k
- Developmental Neuroscience 84
Countries citing papers authored by MingMing Ning
This map shows the geographic impact of MingMing Ning'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 MingMing Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MingMing Ning more than expected).
Fields of papers citing papers by MingMing Ning
This network shows the impact of papers produced by MingMing Ning. 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 MingMing Ning. The network helps show where MingMing Ning may publish in the future.
Co-authorship network
The 25 scholars most cited alongside MingMing Ning, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 7 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 74 | |
| 11 | 2020 | 1 | |
| 12 | 2020 | 31 | |
| 13 | 2020 | 3 | |
| 14 | 2020 | 30 | |
| 15 | 2018 | 7 | |
| 16 | 2018 | 32 | |
| 17 | 2017 | 8 | |
| 18 | 2016 | 32 | |
| 19 | 2014 | 22 | |
| 20 | 2013 | 47 |
About MingMing Ning
MingMing Ning is a scholar working on Neurology, Neurology and Epidemiology, having authored 86 papers that have together received 3.0k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (27 papers), Traumatic Brain Injury and Neurovascular Disturbances (15 papers), Cardiovascular and Diving-Related Complications (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers), S100 Proteins and Annexins (10 papers), Cerebrovascular and Carotid Artery Diseases (10 papers), Intracranial Aneurysms: Treatment and Complications (9 papers) and Intracerebral and Subarachnoid Hemorrhage Research (7 papers). The work is most often cited by research in Neurology (652 citations), Neurology (1.0k citations) and Internal Medicine (139 citations). MingMing Ning has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Eng H. Lo, Karen L. Furie, Xiaoying Wang, Jonathan Rosand, Steven M. Greenberg, Eric E. Smith, Jessica A. Eng, Sun-Ryung Lee, Joel Stein and Randie M. Black‐Schaffer. Their work appears in journals such as Stroke, Translational Stroke Research, Neurology, Journal of Investigative Medicine and Journal of Cerebral Blood Flow & Metabolism.
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.