Amin Addetia

4.8k citations
34 papers · 1.4k indexed · 2 hit papers · h-index 17
Topics
SARS-CoV-2 and COVID-19 Research (14 papers)Bacteriophages and microbial interactions (5 papers)Animal Virus Infections Studies (5 papers)
Partner nations
United StatesCanadaChina

In The Last Decade

Amin Addetia

32 papers receiving 1.4k citations

Hit Papers

Prospective mapping of viral mutations that escape antibo...202120262022202420212025100200300400

Peers

Amin Addetia
Comparison fields: 5 of 101
  • Infectious Diseases 1.0k
  • Molecular Biology 328
  • Epidemiology 176
  • Animal Science and Zoology 169
  • Immunology 153
Replace Sarah K. Hilton with:
Sarah K. Hilton United States
Laurence Josset France
Hoe Nam Leong Singapore
Pavitra Roychoudhury United States
Jason J. LeBlanc Canada
Richard Copin United States
Kristen E. Pascal United States
Zhenglun Liang China
Cuiqing Ma China
Amin Addetia relative to Sarah K. Hilton United States Sarah K. Hilton's profile →
Citations per field
00.5×
Sarah K. Hilton · 1×
Citations per year

Countries citing papers authored by Amin Addetia

Since Specialization
Citations

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

Fields of papers citing papers by Amin Addetia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amin Addetia

This figure shows the co-authorship network connecting the top 25 collaborators of Amin Addetia. A scholar is included among the top collaborators of Amin Addetia 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 Amin Addetia. Amin Addetia 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 0
2 0
3
Molecular basis of convergent evolution of ACE2 receptor utilization among HKU5 coronavirusesbreakdown →
14
4 17
5 5
6 7
7 7
8 10
9 95
10 10
11
Prospective mapping of viral mutations that escape antibodies used to treat COVID-19breakdown →
448
12 22
13 5
14 17
15 66
16 16
17 1
18 21
19 8
20 3

About Amin Addetia

Amin Addetia is a scholar working on Infectious Diseases, Animal Science and Zoology and Microbiology, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (14 papers), Bacteriophages and microbial interactions (5 papers) and Animal Virus Infections Studies (5 papers). The work is most often cited by research in Infectious Diseases (1.0k citations), Modeling and Simulation (81 citations) and Animal Science and Zoology (169 citations). Amin Addetia has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Jesse D. Bloom, Adam S. Dingens, Alexander L. Greninger, Tyler N. Starr, William W. Hannon, Allison J. Greaney, Manish C. Choudhary, Jonathan Z. Li, Keith R. Jerome and Pavitra Roychoudhury. Their work appears in journals such as Nature, Science and 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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