Aaron E. Lin

4.0k citations
20 papers · 885 · 1 hit paper · h-index 13

Impact in

Papers in

    • Viral Infections and Outbreaks Research 7
    • Viral Infections and Vectors 6
    • Viral gastroenteritis research and epidemiology 3
    • SARS-CoV-2 and COVID-19 Research 2
    • interferon and immune responses 3
    • Immune Cell Function and Interaction 2

Aaron E. Lin

20 papers receiving 868 citations

Aaron E. Lin's Hit Papers

Programmable Inhibition and Detection of RNA Viruses Using Cas13 2019 · 309 citations
3090+2+4Years since publication100200300

Peers

Aaron E. Lin
Comparison fields: 5 of 100
  • Infectious Diseases 316
  • Business and International Management 27
  • Modeling and Simulation 34
  • Aging 13
  • Computer Science Applications 37
Replace Nathan L. Yozwiak with:
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Aaron E. Lin relative to Nathan L. Yozwiak United States Nathan L. Yozwiak's profile →
Citations per field
00.5×3.4×
Nathan L. Yozwiak · 1×
Citations per year

Countries citing papers authored by Aaron E. Lin

Since Specialization
Citations

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

Fields of papers citing papers by Aaron E. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron E. Lin. 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 Aaron E. Lin. The network helps show where Aaron E. Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Aaron E. Lin, 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 Aaron E. Lin Line = papers co-authored together Aaron E. Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Programmable Inhibition and Detection of RNA Viruses Using Cas13
Hit paper breakdown →
2019309
2 2016133
3 201155
4 201655
5 201650
6 201549
7 202342
8 202338
9 201334
10 201529
11 201721
12 202420
13 202417
14 202311
15 20209
16 20236
17 20193
18 20252
19 20241
20 20231

About Aaron E. Lin

Aaron E. Lin is a scholar working on Infectious Diseases, Immunology, Molecular Biology, Oncology and Epidemiology, having authored 20 papers that have together received 885 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (7 papers), Viral Infections and Vectors (6 papers), interferon and immune responses (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Herpesvirus Infections and Treatments (2 papers), Immune Cell Function and Interaction (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Infectious Diseases (316 citations), Business and International Management (27 citations), Modeling and Simulation (34 citations), Aging (13 citations) and Computer Science Applications (37 citations). Aaron E. Lin has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Pardis C. Sabeti, Cynthia Luo, Nathan L. Yozwiak, Hayden C. Metsky, Jonathan S. Gootenberg, Cameron Myhrvold, Catherine A. Freije, Amber Carter, Omar O. Abudayyeh and Chloe K. Boehm. Their work appears in journals such as Nature Microbiology, Science Signaling, BMC Medicine, Journal of Virology and The Journal of Immunology.

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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