Qifeng Song

1.3k citations
24 papers · 978 indexed · h-index 15
Topics
Monoclonal and Polyclonal Antibodies Research (7 papers)Advanced Biosensing Techniques and Applications (6 papers)Advanced biosensing and bioanalysis techniques (4 papers)

In The Last Decade

Qifeng Song

23 papers receiving 968 citations

Peers

Qifeng Song
Comparison fields: 5 of 100
  • Molecular Biology 780
  • Radiology, Nuclear Medicine and Imaging 191
  • Genetics 119
  • Biomedical Engineering 97
  • Electrical and Electronic Engineering 61
Replace Zoltán Konthur with:
Zoltán Konthur Germany
Mari Takahashi Japan
Lara Cantarero Spain
Katie Welch United States
Kiera N. Berggren United States
José Hurst Germany
Juan Pérez-Vilar United States
Christian Thirion Germany
Anette Jacob Germany
Muhammad Shuaib Saudi Arabia
Qifeng Song relative to Zoltán Konthur Germany Zoltán Konthur's profile →
Citations per field
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Zoltán Konthur · 1×
Citations per year

Countries citing papers authored by Qifeng Song

Since Specialization
Citations

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

Fields of papers citing papers by Qifeng Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qifeng Song

This figure shows the co-authorship network connecting the top 25 collaborators of Qifeng Song. A scholar is included among the top collaborators of Qifeng 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 Qifeng Song. Qifeng 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 1
2 2
3 6
4 5
5 7
6 2
7 20
8 20
9 39
10 53
11 70
12 260
13 64
14 40
15 27
16 13
17 57
18 63
19 23
20 108

About Qifeng Song

Qifeng Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Critical Care and Intensive Care Medicine, having authored 24 papers that have together received 978 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Advanced Biosensing Techniques and Applications (6 papers) and Advanced biosensing and bioanalysis techniques (4 papers). The work is most often cited by research in Molecular Biology (780 citations), Radiology, Nuclear Medicine and Imaging (191 citations) and Bioengineering (39 citations). Qifeng Song has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Heng Zhu, Paul Ko Ferrigno, Shaohui Hu, Jason J. Davis, Jiang Qian, Hongjun Song, Jun Wan, Guo‐li Ming, Yijing Su and Shuang Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications 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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