Min He
Impact in
- Neurology top 5%
- Intracranial Aneurysms: Treatment and Complications
- Traumatic Brain Injury and Neurovascular Disturbances
- Intracerebral and Subarachnoid Hemorrhage Research
- Neurosurgical Procedures and Complications
Papers in
- Co-authors
- Ruoran Wang (13 shared papers)Jianguo Xu (9 shared papers)Jing Zhang (6 shared papers)Zhong Yao (5 shared papers)Chao You (5 shared papers)Yanlin Song (9 shared papers)Jianguo Xu (7 shared papers)Lu Ma (6 shared papers)
- Journals
- World Neurosurgery (7 papers)Medicine (6 papers)Clinical Neurology and Neurosurgery (5 papers)Oncotarget (4 papers)Frontiers in Neurology (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Min He
48 papers receiving 701 citations
Peers
Comparison fields: 5 of 103
- Neurology 273
- Critical Care and Intensive Care Medicine 31
- Biophysics 35
- Emergency Medicine 32
- Genetics 33
Countries citing papers authored by Min He
This map shows the geographic impact of Min He'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 Min He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min He more than expected).
Fields of papers citing papers by Min He
This network shows the impact of papers produced by Min He. 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 Min He. The network helps show where Min He may publish in the future.
Co-authors
The 25 scholars most cited alongside Min He, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | XGBoost Machine Learning Algorithm for Prediction of Outcome in Aneurysmal Subarachnoid Hemorrhage | 2022 | 57 |
| 2 | 2022 | 51 | |
| 3 | 2017 | 48 | |
| 4 | 2018 | 40 | |
| 5 | 2022 | 33 | |
| 6 | 2020 | 29 | |
| 7 | 2015 | 27 | |
| 8 | 2017 | 27 | |
| 9 | 2022 | 25 | |
| 10 | 2022 | 22 | |
| 11 | 2012 | 22 | |
| 12 | 2018 | 21 | |
| 13 | 2012 | 20 | |
| 14 | 2017 | 20 | |
| 15 | 2017 | 19 | |
| 16 | 2020 | 16 | |
| 17 | 2017 | 16 | |
| 18 | 2021 | 15 | |
| 19 | 2012 | 14 | |
| 20 | 2018 | 13 |
About Min He
Min He is a scholar working on Neurology, Genetics, Oncology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 49 papers that have together received 708 indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (8 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers), Intracerebral and Subarachnoid Hemorrhage Research (5 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers), Glioma Diagnosis and Treatment (3 papers), Myasthenia Gravis and Thymoma (2 papers), Acute Ischemic Stroke Management (2 papers) and Cerebrospinal fluid and hydrocephalus (1 paper). The work is most often cited by research in Neurology (273 citations), Critical Care and Intensive Care Medicine (31 citations), Biophysics (35 citations), Emergency Medicine (32 citations) and Genetics (33 citations). Min He has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Ruoran Wang, Jianguo Xu, Jing Zhang, Zhong Yao, Chao You, Yanlin Song, Jianguo Xu, Lu Ma, Yan Kang and Xin Hu. Their work appears in journals such as World Neurosurgery, Medicine, Clinical Neurology and Neurosurgery, Oncotarget and Frontiers in Neurology.
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.