Da Huang

731 citations
9 papers · 359 indexed · 1 hit paper · h-index 4
Topics
Biosensors and Analytical Detection (4 papers)SARS-CoV-2 detection and testing (4 papers)Advanced biosensing and bioanalysis techniques (3 papers)

In The Last Decade

Da Huang

9 papers receiving 357 citations

Hit Papers

Spin-enhanced nanodiamond biosensing for ultrasensitive d...2020202620222024202050100150200250

Peers

Da Huang
Comparison fields: 5 of 71
  • Biomedical Engineering 179
  • Molecular Biology 152
  • Materials Chemistry 149
  • Infectious Diseases 79
  • Atomic and Molecular Physics, and Optics 54
Replace Harriet D. Gliddon with:
Harriet D. Gliddon United Kingdom
David Gasperino United States
Antonio Minopoli Italy
Zachary D. Harms United States
Saurav Islam India
Marcel Aguilella‐Arzo Spain
Siyan Zhang China
Hong‐Rae Kim South Korea
Martin Vögele Germany
Gahyeon Kim South Korea
Da Huang relative to Harriet D. Gliddon United Kingdom Harriet D. Gliddon's profile →
Citations per field
00.5×1.5×
Harriet D. Gliddon · 1×
Citations per year

Countries citing papers authored by Da Huang

Since Specialization
Citations

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

Fields of papers citing papers by Da Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da Huang

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2 1
3 19
4 16
5 2
6 56
7
Spin-enhanced nanodiamond biosensing for ultrasensitive diagnosticsbreakdown →
261
8
Detection of Exons with Deletions and Insertions by Hidden Markov Models
2
9
Investigation on the gene expression pattern of human lung cancer
1

About Da Huang

Da Huang is a scholar working on Infectious Diseases, Computer Science Applications and Parasitology, having authored 9 papers that have together received 359 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (4 papers), SARS-CoV-2 detection and testing (4 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Infectious Diseases (79 citations), Biomedical Engineering (179 citations) and Materials Chemistry (149 citations). Da Huang has collaborated with scholars based in United Kingdom, Brazil and Spain. Frequent co-authors include Rachel A. McKendry, Benjamin S. Miller, Judith Heaney, Eleni Nastouli, Harriet D. Gliddon, Eleanor R. Gray, John J. L. Morton, Léonard Bezinge, Peter J. Dobson and Valérian Turbé. Their work appears in journals such as Nature, Nature Communications and Scientific Reports.

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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