Yun Hua

778 citations
35 papers · 668 indexed · h-index 16
Topics
Prostate Cancer Treatment and Research (5 papers)Cytokine Signaling Pathways and Interactions (5 papers)interferon and immune responses (3 papers)
Partner nations
United StatesChinaPoland

In The Last Decade

Yun Hua

33 papers receiving 660 citations

Peers

Yun Hua
Comparison fields: 5 of 93
  • Molecular Biology 307
  • Immunology and Allergy 157
  • Oncology 154
  • Cell Biology 128
  • Immunology 105
Replace Gisela Moehren with:
Gisela Moehren United States
Annette Hayden United Kingdom
Eric Wen Su United States
Hans de Bont Netherlands
Michihiko Waki Japan
Pedro Casado United Kingdom
Albert S. Chiou United States
Athula Herath United Kingdom
Prson Gautam Finland
Yun Hua relative to Gisela Moehren United States Gisela Moehren's profile →
Citations per field
00.5×3.3×
Gisela Moehren · 1×
Citations per year

Countries citing papers authored by Yun Hua

Since Specialization
Citations

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

Fields of papers citing papers by Yun Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Hua. A scholar is included among the top collaborators of Yun Hua 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 Yun Hua. Yun Hua 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 1
2 7
3 6
4 9
5 7
6 10
7 24
8 24
9 3
10 16
11 17
12 28
13 22
14 21
15 35
16
Inhibitory effect of fatty acids from specifically-cultivated Chrysomya megacephala (Fabricius) (Diptera:Calliphoridae) larvae on tumor cells and HIV-1 integrase in vitro and their ingredient analysis
2
17
Analgesic action of mallotus furetianus
1
18 40
19 33
20 24

About Yun Hua

Yun Hua is a scholar working on Oncology, Biophysics and Immunology, having authored 35 papers that have together received 668 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (5 papers), Cytokine Signaling Pathways and Interactions (5 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Immunology and Allergy (157 citations), Cell Biology (128 citations) and Oncology (154 citations). Yun Hua has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Yizeng Tu, Chuanyue Wu, Yao Huang, Yongjun Zhang, Paul A. Johnston, John S. Lazo, Tong Ying Shun, Daniel P. Camarco, Christopher J. Strock and Timothy R. Billiar. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology and The Journal of 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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