Guangmei Yan

3.5k total citations
107 papers, 2.1k citations indexed

About

Guangmei Yan is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Guangmei Yan has authored 107 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 32 papers in Genetics and 29 papers in Oncology. Recurrent topics in Guangmei Yan's work include Virus-based gene therapy research (29 papers), CAR-T cell therapy research (17 papers) and RNA Interference and Gene Delivery (10 papers). Guangmei Yan is often cited by papers focused on Virus-based gene therapy research (29 papers), CAR-T cell therapy research (17 papers) and RNA Interference and Gene Delivery (10 papers). Guangmei Yan collaborates with scholars based in China, United States and United Kingdom. Guangmei Yan's co-authors include Wenbo Zhu, Yuan Lin, Pengxin Qiu, Minfeng Shu, Sihan Wu, Jun Hu, Jing Cai, Wei Yin, Yuehan Zhou and Xingwen Su and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Guangmei Yan

98 papers receiving 2.0k citations

Peers

Guangmei Yan
Comparison fields: 5 of 127
  • Molecular Biology 1.1k
  • Oncology 476
  • Genetics 463
  • Cancer Research 379
  • Immunology 234
Replace Shuxun Ren with:
Shuxun Ren United States
Wenjing Zhou China
Hyeseong Cho South Korea
Meritxell Gironella Spain
Fei Chen China
Fan Yeung United States
S Sułkowski Poland
Nazar Mashtalir United States
Yong Cui China
Julio Escribano Spain
Shuxun Ren United States View profile →
Citations per field, relative to Guangmei Yan
Guangmei Yan · 1×
Citations per year, relative to Guangmei Yan
Guangmei Yan · 1×

Countries citing papers authored by Guangmei Yan

Since Specialization
Citations

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

Fields of papers citing papers by Guangmei Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangmei Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Guangmei Yan. A scholar is included among the top collaborators of Guangmei Yan 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 Guangmei Yan. Guangmei Yan 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 4
4 4
5 6
6 0
7 12
8 5
9 36
10 18
11 14
12 7
13 28
14 53
15 6
16 49
17 19
18 9
19 27
20
Protective Effects of Polysaccharide from Holothuria atra on Apoptosis of Cortical Neurons Induced by Amyloid beta-Protein
1

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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