Chun‐Qing Song

3.3k citations
27 papers · 1.3k indexed · h-index 18
Topics
CRISPR and Genetic Engineering (16 papers)RNA and protein synthesis mechanisms (6 papers)Advanced biosensing and bioanalysis techniques (5 papers)

In The Last Decade

Chun‐Qing Song

25 papers receiving 1.3k citations

Peers

Chun‐Qing Song
Comparison fields: 5 of 88
  • Molecular Biology 1.2k
  • Genetics 295
  • Oncology 140
  • Business and International Management 111
  • Cancer Research 107
Replace Jenna Persson with:
Jenna Persson Sweden
Hyunji Lee South Korea
Nipun Verma United States
Jiyung Shin United States
Rosa Romano Italy
Nan Cher Yeo United States
Zhenning He United States
Yung‐Hsin Huang Taiwan
Phillip A. Doerfler United States
Sallie S. Boggs United States
Chun‐Qing Song relative to Jenna Persson Sweden Jenna Persson's profile →
Citations per field
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Jenna Persson · 1×
Citations per year

Countries citing papers authored by Chun‐Qing Song

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Qing Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun‐Qing Song

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Qing Song. A scholar is included among the top collaborators of Chun‐Qing 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 Chun‐Qing Song. Chun‐Qing 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 20
2 39
3 10
4 63
5 93
6 138
7 17
8 1
9 8
10 34
11 188
12 183
13 92
14 0
15
Genome-Wide CRISPR Screen Identifies Regulators of Mitogen-Activated Protein Kinase as Suppressors of Liver Tumors in Mice
1
16 17
17 130
18 28
19 87
20 30

About Chun‐Qing Song

Chun‐Qing Song is a scholar working on Business and International Management, Molecular Biology and Cancer Research, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (16 papers), RNA and protein synthesis mechanisms (6 papers) and Advanced biosensing and bioanalysis techniques (5 papers). The work is most often cited by research in Business and International Management (111 citations), Aging (68 citations) and Molecular Biology (1.2k citations). Chun‐Qing Song has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Wen Xue, Hao Yin, Erik J. Sontheimer, Daniel G. Anderson, Raed Ibraheim, Aamir Mir, Xiaowei Fu, Yueying Cao, Zhiping Weng and Haiwei Mou. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Molecular Cell.

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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