Yingying Guo

8.3k citations
20 papers · 3.9k indexed · 1 hit paper · h-index 10
Topics
Amino Acid Enzymes and Metabolism (2 papers)SARS-CoV-2 and COVID-19 Research (2 papers)Epigenetics and DNA Methylation (2 papers)

In The Last Decade

Yingying Guo

19 papers receiving 3.9k citations

Hit Papers

Structural basis for the recognition of SARS-CoV-2 by ful...2020202620222024202010002.0k3.0k

Peers

Yingying Guo
Comparison fields: 5 of 132
  • Infectious Diseases 2.8k
  • Molecular Biology 1.1k
  • Neurology 542
  • Computational Theory and Mathematics 486
  • Epidemiology 371
Replace Gengfu Xiao with:
Gengfu Xiao China
Shuai Xia China
Yaning Li China
Renhong Yan China
Stephanie Bertram Germany
Tianlei Ying China
Tristan X. Jordan United States
Xuanling Shi China
Zhaohui Qian China
Yingying Guo relative to Gengfu Xiao China Gengfu Xiao's profile →
Citations per field
00.5×1.5×2.1×
Gengfu Xiao · 1×
Citations per year

Countries citing papers authored by Yingying Guo

Since Specialization
Citations

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

Fields of papers citing papers by Yingying Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingying Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Yingying Guo. A scholar is included among the top collaborators of Yingying Guo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yingying Guo. Yingying Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 1
4 1
5 6
6 7
7 9
8 8
9 21
10
Structural basis for the recognition of SARS-CoV-2 by full-length human ACE2breakdown →
3445
11 25
12 8
13 75
14 66
15 10
16 17
17 168
18 25
19 32
20
Preliminary study on in vitro induced differentiation of embryonic stem cells into neurons.
3

About Yingying Guo

Yingying Guo is a scholar working on Virology, Biochemistry and Geriatrics and Gerontology, having authored 20 papers that have together received 3.9k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Infectious Diseases (2.8k citations), Neurology (542 citations) and Computational Theory and Mathematics (486 citations). Yingying Guo has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Renhong Yan, Yaning Li, Qiang Zhou, Yuanyuan Zhang, Lu Xia, Liang Guo, Qi‐Qun Tang, Baiyu Li, Wan-Qiu Peng and Maojun Yang. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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