Yu Hu
Impact in
- Neurology top 0.1%
- Long-Term Effects of COVID-19
- Hematology top 0.2%
Papers in
- Hematology 149
- Multiple Myeloma Research and Treatments 38
- Blood Coagulation and Thrombosis Mechanisms 32
- Platelet Disorders and Treatments 30
- Acute Myeloid Leukemia Research 30
- Co-authors
- Quanwei He (3 shared papers)Ling Mao (3 shared papers)Bo Hu (3 shared papers)Yanan Li (3 shared papers)Huijuan Jin (3 shared papers)Yifan Zhou (2 shared papers)Mengdie Wang (2 shared papers)David Wang (2 shared papers)
- Journals
- Blood (33 papers)Frontiers in Oncology (11 papers)Biomaterials (10 papers)Leukemia (9 papers)Frontiers in Immunology (8 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yu Hu
473 papers receiving 17.5k citations
Yu Hu's Hit Papers
Peers
Comparison fields: 5 of 185
- Neurology 3.9k
- Hematology 1.9k
- Infectious Diseases 2.7k
- Internal Medicine 332
- Oncology 2.6k
Countries citing papers authored by Yu Hu
This map shows the geographic impact of Yu 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 Yu Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Hu more than expected).
Fields of papers citing papers by Yu Hu
This network shows the impact of papers produced by Yu 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 Yu Hu. The network helps show where Yu Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu 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
Showing the 20 most-cited of 502 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Neurologic Manifestations of Hospitalized Patients With Coronavirus Disease 2019 in Wuhan, China Hit paper breakdown → | 2020 | 4750 |
| 2 | Gasdermin E–mediated target cell pyroptosis by CAR T cells triggers cytokine release syndrome Hit paper breakdown → | 2020 | 438 |
| 3 | Endothelial functions of platelet/endothelial cell adhesion molecule-1 (CD31) Hit paper breakdown → | 2016 | 429 |
| 4 | 2020 | 332 | |
| 5 | 2011 | 270 | |
| 6 | 2020 | 223 | |
| 7 | 2000 | 196 | |
| 8 | 2014 | 196 | |
| 9 | 2018 | 185 | |
| 10 | 2013 | 184 | |
| 11 | 2012 | 181 | |
| 12 | 2020 | 176 | |
| 13 | 2019 | 157 | |
| 14 | 2012 | 151 | |
| 15 | 2020 | 144 | |
| 16 | 2017 | 143 | |
| 17 | 2016 | 140 | |
| 18 | 1997 | 133 | |
| 19 | 2016 | 127 | |
| 20 | 2019 | 127 |
About Yu Hu
Yu Hu is a scholar working on Hematology, Molecular Biology, Oncology, Immunology and Cancer Research, having authored 502 papers that have together received 17.8k indexed citations. Recurring topics across this work include CAR-T cell therapy research (48 papers), Multiple Myeloma Research and Treatments (38 papers), Blood Coagulation and Thrombosis Mechanisms (32 papers), Platelet Disorders and Treatments (30 papers), Acute Myeloid Leukemia Research (30 papers), Immune Cell Function and Interaction (22 papers), Lymphoma Diagnosis and Treatment (21 papers) and Nanoparticle-Based Drug Delivery (19 papers). The work is most often cited by research in Neurology (3.9k citations), Hematology (1.9k citations), Infectious Diseases (2.7k citations), Internal Medicine (332 citations) and Oncology (2.6k citations). Yu Hu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Quanwei He, Ling Mao, Bo Hu, Yanan Li, Huijuan Jin, Yifan Zhou, Mengdie Wang, David Wang, Candong Hong and Jiang Chang. Their work appears in journals such as Blood, Frontiers in Oncology, Biomaterials, Leukemia and Frontiers in Immunology.
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.