Yiting Guan

621 citations
17 papers · 426 · h-index 8

Impact in

Papers in

    • Genomics and Chromatin Dynamics 5
    • Epigenetics and DNA Methylation 5
    • Advanced biosensing and bioanalysis techniques 2
    • Histone Deacetylase Inhibitors Research 2
    • RNA modifications and cancer 2
    • Cancer-related gene regulation 2
    • Telomeres, Telomerase, and Senescence 6

Yiting Guan

15 papers receiving 425 citations

Peers

Yiting Guan
Comparison fields: 5 of 86
  • Aging 33
  • Energy Engineering and Power Technology 16
  • Renewable Energy, Sustainability and the Environment 62
  • Cancer Research 56
  • Molecular Biology 232
Replace Zhiyong Lu with:
Zhiyong Lu China
Andrea De La Torre United States
Dustin Bagley United States
Shuling Wang China
Yuan Xue China
Hélène Lebhar Australia
Haibin Ma China
Yuan Yu China
Jianmin Liu China
Kai Fu United States
Yiting Guan relative to Zhiyong Lu China Zhiyong Lu's profile →
Citations per field
00.5×3.4×
Zhiyong Lu · 1×
Citations per year

Countries citing papers authored by Yiting Guan

Since Specialization
Citations

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

Fields of papers citing papers by Yiting Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2018140
2 202381
3 202054
4 202150
5 201837
6 202117
7 20189
8 20238
9 20137
10 20137
11 20255
12 20184
13 20233
14 20233
15 20181
16 20250
17 20250

About Yiting Guan

Yiting Guan is a scholar working on Molecular Biology, Physiology, Genetics, Pollution and Geriatrics and Gerontology, having authored 17 papers that have together received 426 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (6 papers), Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (5 papers), Advanced biosensing and bioanalysis techniques (2 papers), Genetic and Kidney Cyst Diseases (2 papers), Histone Deacetylase Inhibitors Research (2 papers), RNA modifications and cancer (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Aging (33 citations), Energy Engineering and Power Technology (16 citations), Renewable Energy, Sustainability and the Environment (62 citations), Cancer Research (56 citations) and Molecular Biology (232 citations). Yiting Guan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Wei Tao, Chao Zhang, Xiaoke Huang, Guoliang Lyu, Li Huang, Xiao‐Li Tian, Lijun Zhang, Le Zong, Zhongjun Zhou and Lei Sun. Their work appears in journals such as Nature Communications, Cellular and Molecular Life Sciences, Nucleic Acids Research, Chromosome Research and BMC Genomics.

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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