Han She
Impact in
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- Intensive Care Unit Cognitive Disorders
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- MicroRNA in disease regulation
Papers in
- Epidemiology 11
- Sepsis Diagnosis and Treatment 11
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- Mitochondrial Function and Pathology 3
- Co-authors
- Liangming Liu (12 shared papers)Yuanqun Zhou (8 shared papers)Lei Tan (10 shared papers)Yu Zhu (5 shared papers)Yue Wu (6 shared papers)Chunhua Ma (6 shared papers)Tao Li (8 shared papers)Yi Hu (5 shared papers)
- Journals
- International Journal of Surgery (2 papers)Frontiers in Immunology (2 papers)Journal of Translational Medicine (2 papers)Frontiers in Genetics (2 papers)International Journal of Nanomedicine (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Han She
23 papers receiving 299 citations
Peers
Comparison fields: 5 of 59
- Critical Care and Intensive Care Medicine 32
- Cancer Research 64
- Immunology 72
- Epidemiology 90
- Molecular Biology 159
Countries citing papers authored by Han She
This map shows the geographic impact of Han She'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 Han She with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han She more than expected).
Fields of papers citing papers by Han She
This network shows the impact of papers produced by Han She. 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 Han She. The network helps show where Han She may publish in the future.
Co-authors
The 25 scholars most cited alongside Han She, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 49 | |
| 2 | 2024 | 38 | |
| 3 | 2023 | 25 | |
| 4 | 2021 | 24 | |
| 5 | 2021 | 24 | |
| 6 | 2023 | 23 | |
| 7 | 2023 | 21 | |
| 8 | 2024 | 12 | |
| 9 | 2024 | 10 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2024 | 8 | |
| 15 | 2023 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2025 | 4 | |
| 19 | 2025 | 3 | |
| 20 | 2024 | 3 |
About Han She
Han She is a scholar working on Epidemiology, Molecular Biology, Immunology, Neurology and Oncology, having authored 23 papers that have together received 300 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (11 papers), Immune cells in cancer (5 papers), Inflammation biomarkers and pathways (3 papers), Clusterin in disease pathology (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Cardiac Arrest and Resuscitation (3 papers), Mitochondrial Function and Pathology (3 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (32 citations), Cancer Research (64 citations), Immunology (72 citations), Epidemiology (90 citations) and Molecular Biology (159 citations). Han She has collaborated with scholars based in China and United States. Frequent co-authors include Liangming Liu, Yuanqun Zhou, Lei Tan, Yu Zhu, Yue Wu, Chunhua Ma, Tao Li, Yi Hu, Zisen Zhang and Yunxia Du. Their work appears in journals such as International Journal of Surgery, Frontiers in Immunology, Journal of Translational Medicine, Frontiers in Genetics and International Journal of Nanomedicine.
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.