Ai Huang

1.4k citations
59 papers · 1.1k indexed · h-index 17
Topics
Cancer-related Molecular Pathways (5 papers)DNA Repair Mechanisms (4 papers)Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers)
Partner nations
ChinaUnited StatesTaiwan

In The Last Decade

Ai Huang

52 papers receiving 1.0k citations

Peers

Ai Huang
Comparison fields: 5 of 117
  • Molecular Biology 365
  • Oncology 241
  • Biomedical Engineering 195
  • Immunology 185
  • Pathology and Forensic Medicine 162
Replace Thangirala Sudha with:
Thangirala Sudha United States
Harika Atmaca Türkiye
Basel Sitohy Sweden
Wenbin Gao China
Goutam Dey India
Fakhraddin Naghibalhossaini Iran
Shanshan Yang China
Manuela Călin Romania
Yang Fu China
Ai Huang relative to Thangirala Sudha United States Thangirala Sudha's profile →
Citations per field
00.5×3.4×
Thangirala Sudha · 1×
Citations per year

Countries citing papers authored by Ai Huang

Since Specialization
Citations

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

Fields of papers citing papers by Ai Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ai Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Ai Huang. A scholar is included among the top collaborators of Ai 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 Ai Huang. Ai Huang 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 3
3 1
4 9
5 4
6 3
7 19
8 20
9 90
10 28
11 18
12 178
13 40
14 8
15 61
16
Analysis on resource allocation status of three-level maternity and child care institutions in China in 2008
1
17
Differential-Pulse-Position-Width Modulation for Optical Communication
0
18
Recent Advances in Dielectric Materials
11
19
Total Flavones in Herba Plantaginis by Microwave-Assisted Extraction
0
20
FORMATION OF URSODEOXYCHOLIC ACID BY MICROBIAL BIOCONVERSION
3

About Ai Huang

Ai Huang is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), DNA Repair Mechanisms (4 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers). The work is most often cited by research in Biochemistry (76 citations), Biomaterials (141 citations) and Pathology and Forensic Medicine (162 citations). Ai Huang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Hong Ma, Gang Wu, Chao Wan, Honglin Jin, Guifang Zhao, Zhenwei Zou, Jueping Feng, Jun Nie, Tao Liu and Lingling Zhang. Their work appears in journals such as Journal of Clinical Oncology, Blood and ACS Nano.

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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