Huaqiu Chen

895 citations
16 papers · 532 indexed · 1 hit paper · h-index 4
Topics
Cancer-related molecular mechanisms research (4 papers)Cancer Immunotherapy and Biomarkers (2 papers)Atherosclerosis and Cardiovascular Diseases (2 papers)
Partner nations
ChinaCanadaUnited States

In The Last Decade

Huaqiu Chen

13 papers receiving 528 citations

Hit Papers

Amyloid β-based therapy for Alzheimer’s disease: challeng...20232026202420252023100200300400

Peers

Huaqiu Chen
Comparison fields: 5 of 90
  • Physiology 269
  • Molecular Biology 185
  • Pharmacology 120
  • Neurology 85
  • Computational Theory and Mathematics 63
Replace Priyanka Rawat with:
Priyanka Rawat United States
Gaurav Paul United States
Yilin Xia China
Vasudevaraju Padmaraju India
Malin Johannesson Sweden
Xinchao Hu China
Alice Cheng United States
Alfredo Sanabria‐Castro Costa Rica
Ye Feng China
Chandra Sekhar Kuruva United States
Huaqiu Chen relative to Priyanka Rawat United States Priyanka Rawat's profile →
Citations per field
00.5×1.5×
Priyanka Rawat · 1×
Citations per year

Countries citing papers authored by Huaqiu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Huaqiu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huaqiu Chen

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 12
3 1
4 0
5 0
6 2
7 1
8 2
9 15
10
Amyloid β-based therapy for Alzheimer’s disease: challenges, successes and futurebreakdown →
484
11 8
12 0
13 2
14 1
15 1
16 2

About Huaqiu Chen

Huaqiu Chen is a scholar working on Toxicology, Cancer Research and Neurology, having authored 16 papers that have together received 532 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). The work is most often cited by research in Biological Psychiatry (41 citations), Physiology (269 citations) and Neurology (85 citations). Huaqiu Chen has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Weihong Song, Ran Li, Keenan Sterling, Yun Zhang, Guangming Wang, Bingjie Zhou, Rong Ma, Zhi Lu, Fang Cai and Mingjing Liu. Their work appears in journals such as The FASEB Journal, Medicine and Signal Transduction and Targeted Therapy.

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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