Yanxiang Guo

787 total citations
15 papers, 653 citations indexed

About

Yanxiang Guo is a scholar working on Molecular Biology, Cell Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yanxiang Guo has authored 15 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yanxiang Guo's work include Microtubule and mitosis dynamics (4 papers), Reproductive Biology and Fertility (3 papers) and Epigenetics and DNA Methylation (2 papers). Yanxiang Guo is often cited by papers focused on Microtubule and mitosis dynamics (4 papers), Reproductive Biology and Fertility (3 papers) and Epigenetics and DNA Methylation (2 papers). Yanxiang Guo collaborates with scholars based in United States, China and United Kingdom. Yanxiang Guo's co-authors include Eileen White, Anne M. Strohecker, Robin Mathew, Cristina M. Karp, Christopher D. Freel, Sally Kornbluth, Jennifer A. Perry, Seth S. Margolis, Leta K. Nutt and Peter K. Jackson and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Current Biology.

In The Last Decade

Yanxiang Guo

13 papers receiving 643 citations

Peers

Yanxiang Guo
Comparison fields: 5 of 83
  • Molecular Biology 447
  • Epidemiology 258
  • Cell Biology 187
  • Cancer Research 94
  • Oncology 91
Replace Guanghua Chen with:
Guanghua Chen China
Lin Jiao China
Shadi Zahedi United States
Steffan T. Nawrocki United States
Caisheng Lu United States
Olga Kravchuk United States
Satomi Yogosawa Japan
Joe Nassour United States
Claudia Peracchio Italy
Qiao‐Yang Sun Singapore
Guanghua Chen China View profile →
Citations per field, relative to Yanxiang Guo
Yanxiang Guo · 1×
Citations per year, relative to Yanxiang Guo
Yanxiang Guo · 1×

Countries citing papers authored by Yanxiang Guo

Since Specialization
Citations

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

Fields of papers citing papers by Yanxiang Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanxiang Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Yanxiang Guo. A scholar is included among the top collaborators of Yanxiang 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 Yanxiang Guo. Yanxiang Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 1
2 1
3 0
4 4
5 3
6 14
7 10
8 0
9 52
10 284
11 29
12 40
13 42
14 163
15 10

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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2026