David Yang

1.7k citations
17 papers · 1.1k indexed · 1 hit paper · h-index 13

David Yang

17 papers receiving 1.1k citations

Hit Papers

Massively multiplexed nucleic acid detection with Cas135922020202620222024100200300400500

Peers

David Yang
Comparison fields: 5 of 90
  • Infectious Diseases 424
  • Business and International Management 31
  • Animal Science and Zoology 129
  • Molecular Biology 631
  • Biomedical Engineering 285
Replace Basem Al-Shayeb with:
Basem Al-Shayeb United States
Xiangjun Song China
Hayden C. Metsky United States
Sri Gowtham Thakku United States
Wilfried A.M. Bakker Netherlands
Adi Beth-Din Israel
Eun‐Jin Choi South Korea
Mojca Milavec Slovenia
Ling Zhou China
Chao Qin China
David Yang relative to Basem Al-Shayeb United States Basem Al-Shayeb's profile →
Citations per field
00.5×10×20×34×
Basem Al-Shayeb · 1×
Citations per year

Countries citing papers authored by David Yang

Since Specialization
Citations

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

Fields of papers citing papers by David Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside David Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Yang Line = papers co-authored together David Yang links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 202428
2 20231
3 202251
4 2021100
5 20212
6
Massively multiplexed nucleic acid detection with Cas13breakdown →
2020592
7 201712
8 201733
9 201723
10 201610
11 20148
12 201430
13 201362
14 201117
15 201120
16 201126
17 201061

About David Yang

David Yang is a scholar working on Animal Science and Zoology, Infectious Diseases and Genetics, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (11 papers), Animal Virus Infections Studies (7 papers), Viral Infections and Immunology Research (4 papers), Virus-based gene therapy research (3 papers), CRISPR and Genetic Engineering (3 papers), Genomics and Rare Diseases (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper) and Herpesvirus Infections and Treatments (1 paper). The work is most often cited by research in Infectious Diseases (424 citations), Business and International Management (31 citations) and Animal Science and Zoology (129 citations). David Yang has collaborated with scholars based in United States, China and Qatar. Frequent co-authors include Peng Tian, Pardis C. Sabeti, Paul C. Blainey, Hayden C. Metsky, Cameron Myhrvold, Cheri M. Ackerman, Jared Kehe, Anthony Kulesa, John Barnes and Sri Gowtham Thakku. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Food Protection, Frontiers in Microbiology, Food and Environmental Virology and Journal of Applied Microbiology.

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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