An Song

714 citations
26 papers · 496 indexed · 1 hit paper · h-index 15
Topics
Immune Cell Function and Interaction (5 papers)RNA modifications and cancer (5 papers)MicroRNA in disease regulation (4 papers)

In The Last Decade

An Song

25 papers receiving 488 citations

Hit Papers

Integration of AIEgens into covalent organic frameworks f...202320262024202520234080120

Peers

An Song
Comparison fields: 5 of 87
  • Molecular Biology 239
  • Biomedical Engineering 127
  • Cancer Research 114
  • Materials Chemistry 93
  • Oncology 92
Replace Natalia Moreno with:
Natalia Moreno Germany
Abdullah Ozer United States
Siyue Tao China
Edward A. Motea United States
Justin P. Dassie United States
Stephen P. Methot Canada
Wenxiang Wei China
Mathangi Srinivasan United States
George Sharbeen Australia
Dominique Payet‐Bornet France
An Song relative to Natalia Moreno Germany Natalia Moreno's profile →
Citations per field
00.5×2.8×
Natalia Moreno · 1×
Citations per year

Countries citing papers authored by An Song

Since Specialization
Citations

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

Fields of papers citing papers by An Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of An Song

This figure shows the co-authorship network connecting the top 25 collaborators of An Song. A scholar is included among the top collaborators of An Song 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 An Song. An Song 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 15
2 9
3 7
4 16
5 14
6 38
7 11
8
Integration of AIEgens into covalent organic frameworks for pyroptosis and ferroptosis primed cancer immunotherapybreakdown →
143
9 15
10 14
11 4
12 16
13 21
14 27
15 26
16 4
17 30
18 18
19 29
20
The structure basis of the poor fibrin specificity of urokinase (II)--The inhibition of urokinase A chain 149-157 on the fibrin stimulated activation of plasminogen by tissue type plasminogen activator.
1

About An Song

An Song is a scholar working on Cancer Research, Immunology and Oncology, having authored 26 papers that have together received 496 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), RNA modifications and cancer (5 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Cancer Research (114 citations), Virology (26 citations) and Immunology (76 citations). An Song has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhi‐Jun Sun, Qi‐Chao Yang, Shuo Wang, Liang Zhang, Shu‐Jin Li, Hexiang Deng, Shu‐Cheng Wan, Jacky W. Y. Lam, Ben Zhong Tang and Ryan T. K. Kwok. Their work appears in journals such as Advanced Materials, Journal of Clinical Investigation and Nature Communications.

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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