Guohui Sun

2.0k citations
75 papers · 1.5k · h-index 23

Impact in

Papers in

Guohui Sun

73 papers receiving 1.5k citations

Peers

Guohui Sun
Comparison fields: 5 of 124
  • Cancer Research 321
  • Computational Theory and Mathematics 371
  • Health, Toxicology and Mutagenesis 143
  • Molecular Biology 708
  • Genetics 86
Replace Lijiao Zhao with:
Lijiao Zhao China
Tengjiao Fan China
Hailing Liu China
Silvia Lapenna Italy
Qian Zhou China
Hifzur R. Siddique India
Ivanhoe K. H. Leung New Zealand
Nagalakshmi Keshava United States
Emil Rudolf Czechia
Ziyang Zhang China
Guohui Sun relative to Lijiao Zhao China Lijiao Zhao's profile →
Citations per field
00.5×1.5×
Lijiao Zhao · 1×
Citations per year

Countries citing papers authored by Guohui Sun

Since Specialization
Citations

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

Fields of papers citing papers by Guohui Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019137
2 202096
3 202393
4 201361
5 202161
6 202356
7 202356
8 201851
9 201949
10 202145
11 202044
12 202043
13 201842
14 202335
15 201834
16 202429
17 202428
18 201727
19 202226
20 202325

About Guohui Sun

Guohui Sun is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cancer Research, Organic Chemistry and Biomedical Engineering, having authored 75 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (24 papers), Cancer, Hypoxia, and Metabolism (12 papers), DNA Repair Mechanisms (8 papers), Epigenetics and DNA Methylation (8 papers), DNA and Nucleic Acid Chemistry (7 papers), Cancer therapeutics and mechanisms (7 papers), Pharmaceutical and Antibiotic Environmental Impacts (6 papers) and Synthesis and biological activity (6 papers). The work is most often cited by research in Cancer Research (321 citations), Computational Theory and Mathematics (371 citations), Health, Toxicology and Mutagenesis (143 citations), Molecular Biology (708 citations) and Genetics (86 citations). Guohui Sun has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lijiao Zhao, Rugang Zhong, Tengjiao Fan, Yongzhen Peng, Xiaodong Sun, Na Zhang, Ting Ren, Yuxing Hao, Yongzhen Peng and Feifan Li. Their work appears in journals such as Journal of Hazardous Materials, Biochemical Pharmacology, International Journal of Molecular Sciences, International Journal of Environmental Research and Public Health and Molecules.

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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