Yaoting Gui

10.8k citations
163 papers · 4.7k · h-index 34

Impact in

Papers in

    • Circular RNAs in diseases 28
    • Epigenetics and DNA Methylation 15
    • RNA modifications and cancer 14
    • MicroRNA in disease regulation 35
    • Cancer-related molecular mechanisms research 29

Yaoting Gui

163 papers receiving 4.6k citations

Peers

Yaoting Gui
Comparison fields: 5 of 114
  • Cancer Research 1.6k
  • Reproductive Medicine 770
  • Molecular Biology 2.3k
  • Immunology 559
  • Obstetrics and Gynecology 176
Replace Louis Dubeau with:
Louis Dubeau United States
Annemarie A. Donjacour United States
Bo R. Rueda United States
Shaw‐Jenq Tsai Taiwan
Markku Heikinheimo Finland
Jung‐Chien Cheng Canada
Sabine Hombach‐Klonisch Canada
Katherine F. Roby United States
Hidemichi Watari Japan
Marilène Paquet Canada
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Citations per field
00.5×2.8×
Louis Dubeau · 1×
Citations per year

Countries citing papers authored by Yaoting Gui

Since Specialization
Citations

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

Fields of papers citing papers by Yaoting Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011231
2 2002211
3 2000170
4 2012165
5 2013157
6 2019130
7 2004129
8 2001124
9 1999116
10 2012115
11 2016102
12 201292
13 200286
14 200377
15 201475
16 200671
17 201968
18 201468
19 200163
20 200357

About Yaoting Gui

Yaoting Gui is a scholar working on Molecular Biology, Cancer Research, Reproductive Medicine, Genetics and Public Health, Environmental and Occupational Health, having authored 163 papers that have together received 4.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (35 papers), Sperm and Testicular Function (33 papers), Cancer-related molecular mechanisms research (29 papers), Circular RNAs in diseases (28 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (18 papers), Epigenetics and DNA Methylation (15 papers), Reproductive Biology and Fertility (15 papers) and RNA modifications and cancer (14 papers). The work is most often cited by research in Cancer Research (1.6k citations), Reproductive Medicine (770 citations), Molecular Biology (2.3k citations), Immunology (559 citations) and Obstetrics and Gynecology (176 citations). Yaoting Gui has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhiming Cai, Liam J. Murphy, Bruce A. Lessey, Yonghua Han, Yuchen Liu, Josef V. Silha, Zhimao Jiang, Yongqing Lai, K.B.C. Apparao and Lingwen Yuan. Their work appears in journals such as Biology of Reproduction, PLoS ONE, Endocrinology, Cell Biology International and Journal of Andrology.

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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