Yuan Hu

1.0k citations
33 papers · 800 indexed · h-index 15
Topics
Immune Cell Function and Interaction (10 papers)CAR-T cell therapy research (5 papers)T-cell and B-cell Immunology (4 papers)

In The Last Decade

Yuan Hu

32 papers receiving 792 citations

Peers

Yuan Hu
Comparison fields: 5 of 84
  • Immunology 414
  • Oncology 316
  • Molecular Biology 219
  • Cellular and Molecular Neuroscience 82
  • Epidemiology 58
Replace Jakob V. Nielsen with:
Jakob V. Nielsen Denmark
Michele Salemi Italy
Jiamao Zheng United States
Kathrin Kalies Germany
Jiang Hu Canada
Ling Lin United States
Yolanda S. Kap Netherlands
Masanori Umemoto Japan
Klaas Kooistra Netherlands
Grace Huang United States
Yuan Hu relative to Jakob V. Nielsen Denmark Jakob V. Nielsen's profile →
Citations per field
00.5×4.9×
Jakob V. Nielsen · 1×
Citations per year

Countries citing papers authored by Yuan Hu

Since Specialization
Citations

This map shows the geographic impact of Yuan 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 Yuan Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan Hu more than expected).

Fields of papers citing papers by Yuan Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan 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 Yuan Hu. The network helps show where Yuan Hu may publish in the future.

Co-authorship network of co-authors of Yuan Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Hu. A scholar is included among the top collaborators of Yuan Hu 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 Yuan Hu. Yuan Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 10
3 9
4 70
5 15
6 2
7 22
8 92
9 9
10 47
11 14
12 130
13 8
14 1
15 80
16 4
17
[Protective effect of six Kaixin San formulas on nerve cells injured by different materials].
1
18
[Construction of genetically modified dendritic cell vaccine expressing bcr/abl fusion gene and inducing specific cytotoxic T lymphocytes to kill K562 cells in vitro].
1
19
Human stem cell model to study signal transduction and molecular regulation mechanisms in CML.
3
20 17

About Yuan Hu

Yuan Hu is a scholar working on Immunology, Hematology and Rehabilitation, having authored 33 papers that have together received 800 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), CAR-T cell therapy research (5 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Immunology (414 citations), Oncology (316 citations) and Endocrine and Autonomic Systems (51 citations). Yuan Hu has collaborated with scholars based in China, United States and Croatia. Frequent co-authors include Cai Zhang, Zhigang Tian, Chongdeng Shi, Nan Lü, Weihua Xiao, Pingfu Feng, KP Strohl, Zhenzhen Wu, Meifang Liu and Yuxia Liu. Their work appears in journals such as Journal of Neuroscience, International Journal of Cancer 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.

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