Xiaoyan Hao

1.1k citations
67 papers · 720 · h-index 17

Impact in

Papers in

Xiaoyan Hao

58 papers receiving 711 citations

Peers

Xiaoyan Hao
Comparison fields: 5 of 92
  • Rehabilitation 70
  • Cancer Research 143
  • Genetics 63
  • Molecular Biology 394
  • Physiology 90
Replace Lieve Temmerman with:
Lieve Temmerman Netherlands
Ingrid Langsetmo United States
Genshan Ma China
Ian S. Patten United States
Masaki Horie Japan
Zhenbiao Wu China
Xuemin He China
Nadja Lehwald Germany
Shiyong Yu China
Moris Cadei Italy
Xiaoyan Hao relative to Lieve Temmerman Netherlands Lieve Temmerman's profile →
Citations per field
00.5×1.5×
Lieve Temmerman · 1×
Citations per year

Countries citing papers authored by Xiaoyan Hao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoyan Hao, 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 Xiaoyan Hao Line = papers co-authored together Xiaoyan Hao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020137
2 199462
3
Contribution of glutathione transferase M3-3 to 1,3-bis(2-chloroethyl)-1-nitrosourea resistance in a human non-small cell lung cancer cell line.
199342
4 201837
5 201833
6 201627
7 201723
8 202121
9 202220
10 201520
11 202020
12 202119
13 202319
14 201718
15 202218
16 201317
17 201816
18 202215
19 202013
20 202212

About Xiaoyan Hao

Xiaoyan Hao is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology, Cardiology and Cardiovascular Medicine and Surgery, having authored 67 papers that have together received 720 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (9 papers), Congenital heart defects research (8 papers), Tracheal and airway disorders (6 papers), Genetic Associations and Epidemiology (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Photosynthetic Processes and Mechanisms (4 papers), Plant Stress Responses and Tolerance (4 papers) and Extracellular vesicles in disease (4 papers). The work is most often cited by research in Rehabilitation (70 citations), Cancer Research (143 citations), Genetics (63 citations), Molecular Biology (394 citations) and Physiology (90 citations). Xiaoyan Hao has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Xueyuan Yu, Maoguo Shu, Lin He, Xuejun Liu, Jing Jia, Xiangyu Liu, Bengt Mannervik, Kenine E. Comstock, W. David Henner and Mikael Widersten. Their work appears in journals such as Frontiers in Genetics, Scientific Reports, Journal of Surgical Research, Journal of Neurology and npj Parkinson s Disease.

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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