Hailing Chen

42 papers receiving 635 citations

Peers

Hailing Chen
Comparison fields: 5 of 101
  • Endocrinology, Diabetes and Metabolism 72
  • Bioengineering 27
  • Molecular Biology 278
  • Cancer Research 53
  • Oncology 95
Replace María del Pilar Chantada‐Vázquez with:
María del Pilar Chantada‐Vázquez Spain
Yueting Wu China
Azzurra Sargenti Italy
Yuanjin Zhang China
Ji Zheng China
Yuxuan Dai China
Guixin Li China
Xiaoxiao Li China
Jialing Chen China
Hailing Chen relative to María del Pilar Chantada‐Vázquez Spain María del Pilar Chantada‐Vázquez's profile →
Citations per field
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María del Pilar Chantada‐Vázquez · 1×
Citations per year

Countries citing papers authored by Hailing Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hailing Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hailing Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hailing Chen Line = papers co-authored together Hailing Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201784
2 201366
3 201948
4 200839
5 202238
6 202033
7 201332
8 202031
9 200722
10 201720
11 202119
12 202018
13
Associations between human aldosterone synthase CYP11B2 (-344T/C) gene polymorphism and antihypertensive response to valsartan in Chinese patients with essential hypertension.
201515
14 202414
15 202213
16 201912
17 202012
18 201312
19 202210
20 20228

About Hailing Chen

Hailing Chen is a scholar working on Molecular Biology, Oncology, Biomaterials, Mechanical Engineering and Materials Chemistry, having authored 44 papers that have together received 638 indexed citations. Recurring topics across this work include Magnesium Alloys: Properties and Applications (4 papers), Ubiquitin and proteasome pathways (3 papers), Peptidase Inhibition and Analysis (3 papers), Aluminum Alloy Microstructure Properties (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Microstructure and Mechanical Properties of Steels (2 papers), Plant and Fungal Species Descriptions (2 papers) and Bone health and osteoporosis research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (72 citations), Bioengineering (27 citations), Molecular Biology (278 citations), Cancer Research (53 citations) and Oncology (95 citations). Hailing Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Lili Deng, Ling Lan, Lili Huo, Xi Chen, Bin Qiu, Yong Luo, Guonan Chen, Yijun Meng, Jiangjie Lu and Guoying Zhang. Their work appears in journals such as Journal of Alloys and Compounds, Journal of Medicinal Chemistry, Frontiers in Cell and Developmental Biology, International Journal of Fatigue and Biology Direct.

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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