Wanmin Song

3.3k citations
7 papers · 1.5k indexed · 1 hit paper · h-index 6
Topics
Bacteriophages and microbial interactions (2 papers)Viral Infections and Vectors (2 papers)Advanced biosensing and bioanalysis techniques (2 papers)
Partner nations
United States

In The Last Decade

Wanmin Song

7 papers receiving 1.5k citations

Hit Papers

Comprehensive human genome amplification using multiple d...200220262010201820022505007501000

Peers

Wanmin Song
Comparison fields: 5 of 109
  • Molecular Biology 991
  • Genetics 375
  • Ecology 364
  • Cancer Research 248
  • Biomedical Engineering 183
Replace John H. Leamon with:
John H. Leamon United States
Robert Palais United States
Cameron N. Gundry United States
Joshua G Vandersteen United States
Seiyu Hosono United States
Yuefen Du United States
A. Fawad Faruqi United States
Theresa L. Giesler United States
Steve Best United Kingdom
Will Bloch United States
Wanmin Song relative to John H. Leamon United States John H. Leamon's profile →
Citations per field
00.5×1.5×
John H. Leamon · 1×
Citations per year

Countries citing papers authored by Wanmin Song

Since Specialization
Citations

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

Fields of papers citing papers by Wanmin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanmin Song

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 233
2 43
3
Comprehensive human genome amplification using multiple displacement amplificationbreakdown →
1092
4 76
5 1
6 64
7 21

About Wanmin Song

Wanmin Song is a scholar working on Endocrinology, Immunology and Allergy and Safety Research, having authored 7 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (2 papers), Viral Infections and Vectors (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Cancer Research (248 citations), Molecular Biology (991 citations) and Ecology (364 citations). Wanmin Song has collaborated with scholars based in United States. Frequent co-authors include Roger S. Lasken, Mark D. Driscoll, Xiaohong Wu, Jing Du, Zhenyu Sun, Seiyu Hosono, Michael D. Miller, Yuefen Du, A. Fawad Faruqi and Stephen F. Kingsmore. Their work appears in journals such as Proceedings of the National Academy of Sciences, Applied and Environmental Microbiology and Developmental Biology.

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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