He Huang
- Molecular Biology top 1%
- Oncology top 0.5%
- Hematology top 0.2%
- Immunology top 1%
- Genetics top 1%
- Topics
- CAR-T cell therapy research (143 papers)Hematopoietic Stem Cell Transplantation (116 papers)Acute Myeloid Leukemia Research (68 papers)
- Cited by
- HematologyOncologyImmunology
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
He Huang
530 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Molecular Biology 4.3k
- Oncology 3.0k
- Hematology 2.3k
- Immunology 2.0k
- Genetics 938
Countries citing papers authored by He Huang
This map shows the geographic impact of He Huang'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 He Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites He Huang more than expected).
Fields of papers citing papers by He Huang
This network shows the impact of papers produced by He Huang. 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 He Huang. The network helps show where He Huang may publish in the future.
Co-authorship network of co-authors of He Huang
This figure shows the co-authorship network connecting the top 25 collaborators of He Huang. A scholar is included among the top collaborators of He Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with He Huang. He Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 13 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | Fecal microbiota transplantation from young mice rejuvenates aged hematopoietic stem cells by suppressing inflammationbreakdown → | 96 |
| 11 | 47 | |
| 12 | 5 | |
| 13 | Emergence of Hypervirulent Ceftazidime/Avibactam-Resistant Klebsiella pneumoniae Isolates in a Chinese Tertiary Hospital | 0 |
| 14 | LncRNA FEZF1-AS1 Sponges miR-34a to Upregulate Notch-1 in Glioblastoma | 1 |
| 15 | Copper Oxide Nanoparticles Induce Oxidative DNA Damage and Cell Death via Copper Ion-Mediated P38 MAPK Activation in Vascular Endothelial Cells | 1 |
| 16 | Oridonin overcomes the gemcitabine resistant PANC-1/Gem cells by regulating GST pi and LRP/1 ERK/JNK signalling | 3 |
| 17 | Antibacterial and osteogenesis performances of LL37-loaded titania nanopores in vitro and in vivo | 1 |
| 18 | 21 | |
| 19 | 139 | |
| 20 | 10 |
About He Huang
He Huang is a scholar working on Hematology, Oncology and Immunology, having authored 576 papers that have together received 10.5k indexed citations. Recurring topics across this work include CAR-T cell therapy research (143 papers), Hematopoietic Stem Cell Transplantation (116 papers) and Acute Myeloid Leukemia Research (68 papers). The work is most often cited by research in Hematology (2.3k citations), Oncology (3.0k citations) and Immunology (2.0k citations). He Huang has collaborated with scholars based in China, United States and France. Frequent co-authors include Pengxu Qian, Yongxian Hu, Yi Luo, Yanmin Zhao, Xia Li, Jimin Shi, Chentao Li, Wanying Zhang, Yanan Wang and Yongxian Hu. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.
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.