Ning Hu
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
-
- Acute Myeloid Leukemia Research 9
- Hematopoietic Stem Cell Transplantation 3
- Surgery 4
- Pancreatitis Pathology and Treatment 3
- Co-authors
- Weixing Wang (5 shared papers)Qiao Shi (4 shared papers)Xuanzhe Zhang (3 shared papers)Jing Tao (3 shared papers)Jiarui Feng (2 shared papers)Hanjun Li (2 shared papers)Zhiyong Peng (2 shared papers)Yongjun Guan (2 shared papers)
- Journals
- Cancer Gene Therapy (2 papers)Bioscience Reports (1 paper)Planta (1 paper)Cell Death and Disease (1 paper)Journal of Advanced Research (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Ning Hu
18 papers receiving 427 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Infectious Diseases 239
- Neurology 112
- Endocrinology, Diabetes and Metabolism 75
- Hematology 50
- Genetics 95
Countries citing papers authored by Ning Hu
This map shows the geographic impact of Ning Hu'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 Ning Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Hu more than expected).
Fields of papers citing papers by Ning Hu
This network shows the impact of papers produced by Ning Hu. 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 Ning Hu. The network helps show where Ning Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Hu, 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 | Clinical Characteristics and Risk Factors for Mortality of COVID-19 Patients With Diabetes in Wuhan, China: A Two-Center, Retrospective Study Hit paper breakdown → | 2020 | 290 |
| 2 | 2018 | 19 | |
| 3 | 2021 | 16 | |
| 4 | 2024 | 14 | |
| 5 | 2021 | 12 | |
| 6 | 2019 | 12 | |
| 7 | 2018 | 11 | |
| 8 | 2017 | 11 | |
| 9 | 2018 | 9 | |
| 10 | 2023 | 9 | |
| 11 | 2020 | 6 | |
| 12 | 2022 | 6 | |
| 13 | 2024 | 4 | |
| 14 | 2017 | 4 | |
| 15 | 2025 | 3 | |
| 16 | 2018 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2023 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Ning Hu
Ning Hu is a scholar working on Hematology, Surgery, Genetics, Cancer Research and Molecular Biology, having authored 20 papers that have together received 433 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Pancreatitis Pathology and Treatment (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Diabetes and associated disorders (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Cancer Genomics and Diagnostics (2 papers) and Supercapacitor Materials and Fabrication (2 papers). The work is most often cited by research in Infectious Diseases (239 citations), Neurology (112 citations), Endocrinology, Diabetes and Metabolism (75 citations), Hematology (50 citations) and Genetics (95 citations). Ning Hu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Weixing Wang, Qiao Shi, Xuanzhe Zhang, Jing Tao, Jiarui Feng, Hanjun Li, Zhiyong Peng, Yongjun Guan, Xingcheng Xiong and Fang Jiang. Their work appears in journals such as Cancer Gene Therapy, Bioscience Reports, Planta, Cell Death and Disease and Journal of Advanced Research.
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.