Yan Guo

17.8k total citations · 5 hit papers
461 papers, 10.7k citations indexed

About

Yan Guo is a scholar working on Molecular Biology, Cancer Research and Molecular Medicine. According to data from OpenAlex, Yan Guo has authored 461 papers receiving a total of 10.7k indexed citations (citations by other indexed papers that have themselves been cited), including 204 papers in Molecular Biology, 77 papers in Cancer Research and 68 papers in Molecular Medicine. Recurrent topics in Yan Guo's work include Antibiotic Resistance in Bacteria (68 papers), RNA modifications and cancer (36 papers) and Cancer-related molecular mechanisms research (35 papers). Yan Guo is often cited by papers focused on Antibiotic Resistance in Bacteria (68 papers), RNA modifications and cancer (36 papers) and Cancer-related molecular mechanisms research (35 papers). Yan Guo collaborates with scholars based in China, United States and Taiwan. Yan Guo's co-authors include Yu Shyr, Quanhu Sheng, David C. Samuels, Ying‐Yong Zhao, Shilin Zhao, Dan‐Qian Chen, Nosratola D. Vaziri, Fupin Hu, Lin Chen and Fei Ye and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Yan Guo

421 papers receiving 10.5k citations

Hit Papers

The Pan-ErbB Negative Regulator Lrig1 Is an Intestinal St... 2012 2026 2016 2021 2012 2019 2020 2024 2023 100 200 300 400 500

Peers

Yan Guo
Comparison fields: 5 of 197
  • Molecular Biology 5.3k
  • Cancer Research 1.7k
  • Molecular Medicine 1.4k
  • Oncology 1.3k
  • Genetics 1.2k
Replace Jong‐Won Kim with:
Jong‐Won Kim South Korea
Ron Edgar Israel
Min Li China
Lihong Chen China
Lili Zhao United States
Cheorl‐Ho Kim South Korea
Wei Zheng United States
Zhigang Zhang China
Jimmy K. Eng United States
Lingyun Zhang China
Jong‐Won Kim South Korea View profile →
Citations per field, relative to Yan Guo
Yan Guo · 1×
Citations per year, relative to Yan Guo
Yan Guo · 1×

Countries citing papers authored by Yan Guo

Since Specialization
Citations

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

Fields of papers citing papers by Yan Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Guo. A scholar is included among the top collaborators of Yan 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 Yan Guo. Yan 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
# Work Indexed citations
1 0
2 0
3 6
4 8
5 0
6
Targeting Lactobacillus johnsonii to reverse chronic kidney disease breakdown →
61
7 4
8 9
9 5
10 8
11 17
12 5
13 36
14 3
15 20
16 56
17 42
18 1
19 144
20 40

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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